Find AI Work That Works for You

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Company OverviewDeepgram is the leading voice AI platform for developers building speech-to-text (STT), text-to-speech (TTS) and full speech-to-speech (STS) offerings. 200,000+ developers build with Deepgram’s voice-native foundational models – accessed through APIs or as self-managed software – due to our unmatched accuracy, latency and pricing. Customers include software companies building voice products, co-sell partners working with large enterprises, and enterprises solving internal voice AI use cases. The company ended 2024 cash-flow positive with 400+ enterprise customers, 3.3x annual usage growth across the past 4 years, over 50,000 years of audio processed and over 1 trillion words transcribed. There is no organization in the world that understands voice better than DeepgramNote: this role is based out of the APAC territory.The OpportunityDeepgram is expanding across APAC and operating a true follow-the-sun model. We are hiring a Solutions Architect in APAC to own complex post-sales engagements, guide customers to production, and strengthen technical support coverage for the region. You will work across the full customer lifecycle with a primary focus on architecture, implementation, and Tier-3 technical problem solving. You will also contribute to pre-sales validation when deep technical credibility is needed, partner with Product and Engineering on feedback and roadmap, and help mature our global operations.About Applied Engineering at DeepgramApplied Engineering combines what many companies split across Solutions Engineering, Solutions Architecture, Consulting, and Senior Technical Support. We are the technical interface from first discovery through successful production and beyond. The team partners closely with Sales, Customer Success, Product, and DevRel to deliver an enterprise-grade experience that is fast, clear, and outcome oriented.What You Will DoLead architecture and implementation for enterprise deployments that use Deepgram speech-to-text (STT), text-to-speech (TTS), and voice agent (VA) capabilities.Own post-sales technical success for assigned accounts. Unblock integrations, optimize accuracy and latency, and guide customers to stable production.Serve as the Tier-3 escalation point for complex issues. Drive root cause analysis, propose mitigations, and write durable fixes or automation when possible.Design reference architectures and implementation patterns for common APAC customer use cases including contact centers, voice analytics, QA, and AI agents.Build high-quality samples, internal tools, or scripts that make repeatable tasks easier for customers and for our team.Contribute to pre-sales discovery and POCs when deep technical direction is needed. Translate business goals to a concrete plan with clear success criteria.Partner with Product and Engineering to prioritize fixes and features. Bring crisp customer signals that improve our roadmap.Contribute to knowledge systems. Capture runbooks, playbooks, and docs that scale your expertise across regions and languages.Participate in an on-call or incident rotation appropriate for the region and customer support tier. Help us meet or outperform regional SLAs.Regional ExpectationsBased in an APAC time zone with reliable overlap to customer business hours across East Asia, Southeast Asia, and ANZ.Excellent written and spoken English. Additional Asian languages are a strong plus, especially Japanese, Korean, Mandarin, or Hindi.Familiarity with data privacy and enterprise security reviews common across APAC, for example Singapore PDPA, Japan APPI, Korea PIPA, Australia’s Privacy Act, and India’s DPDP Act.Ability to travel within the region for critical customer milestones, estimated 10 to 20 percent.Your First 90 DaysFirst 30 daysRamp on Deepgram’s platform, APIs, SDKs, self-hosted deployments, and support practices. Shadow calls across pre-sales, post-sales, and support. Begin owning low-risk technical tasks for an active account and contribute improvements to runbooks or sample code relevant to APAC environments.By day 60Own 2-3 customer workstreams end to end. Lead discovery for one new implementation or migration. Publish one reusable asset such as a deployment guide, Helm example, or troubleshooting playbook with APAC nuances like regional cloud endpoints and data residency.By day 90Act as primary technical owner for several APAC accounts in production. Close at least one complex investigation with measurable customer impact. Present a short readout on a repeated regional pattern and the automation or content you created to solve it.You Will Thrive Here If YouEnjoy solving hard customer problems at the code, container, and cloud layers.Like translating real-world constraints into clear architectures and plans.Are comfortable writing and reading production-grade code, not just sample snippets.Value crisp documentation, reproducible runbooks, and operational excellence.Care about delivering outcomes, not just closing tickets.Minimum Qualifications5 or more years in Solutions Architecture, Solutions Engineering, or similar customer-facing technical roles.Professional software engineering experience in at least one language such as JavaScript/TypeScript, Python or TypeScript. You can build POCs and tools that real users run.Hands-on experience with modern cloud platforms. Comfortable with containerization and orchestration, for example Docker and Kubernetes, and with secure network design for API-driven systems.Proven ownership of complex post-sales work such as production deployments, migrations, performance tuning, and incident response.Clear written and verbal communication across both technical and executive audiences.Preferred QualificationsExperience with speech recognition, TTS, or building voice agents that orchestrate LLMs.Familiarity with WER analysis, model selection and tuning, and accuracy-versus-latency tradeoffs.Experience operating self-hosted systems, including Helm-based deployments and observability for production services.Strong understanding of authentication, authorization, data residency, and compliance topics that appear in APAC enterprise reviews.Fluency in one additional Asian language such as Japanese, Korean, Mandarin, or Hindi.How We WorkRemote across APAC with periodic regional meetups.Collaboration with colleagues in EMEA and the Americas to support continuous coverage.Shared playbooks, defined escalation paths, and measurable SLAs.Interview ProcessRecruiter screen focused on experience, motivations, and logistics.Hiring manager conversation focused on technical depth and customer impact.Technical assessment that mirrors real work. Expect practical coding, architecture discussion, and debugging.Panel interviews with cross-functional partners.Short presentation on a customer-facing technical win you led. Explain the problem, your approach, and measurable outcomes.If this sounds like you, we would love to meet you!Backed by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $85 million in total funding. If you're looking to work on cutting-edge technology and make a significant impact in the AI industry, we'd love to hear from you!Deepgram is an equal opportunity employer. We want all voices and perspectives represented in our workforce. We are a curious bunch focused on collaboration and doing the right thing. We put our customers first, grow together and move quickly. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate.We are happy to provide accommodations for applicants who need them.

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Company OverviewDeepgram is the leading voice AI platform for developers building speech-to-text (STT), text-to-speech (TTS) and full speech-to-speech (STS) offerings. 200,000+ developers build with Deepgram’s voice-native foundational models – accessed through APIs or as self-managed software – due to our unmatched accuracy, latency and pricing. Customers include software companies building voice products, co-sell partners working with large enterprises, and enterprises solving internal voice AI use cases. The company ended 2024 cash-flow positive with 400+ enterprise customers, 3.3x annual usage growth across the past 4 years, over 50,000 years of audio processed and over 1 trillion words transcribed. There is no organization in the world that understands voice better than DeepgramNote: this role is based out of the APAC territory.OpportunityDeepgram is expanding across APAC and operating a follow-the-sun model. We are hiring a Pre-sales Solutions Engineer in APAC to win complex technical evaluations, design clear solution paths, and drive repeatable adoption for strategic accounts. Our strategic Account Executives do not hand off their customers after the first sale, so you will partner long term across discovery, POC, production launch, and expansion. You will focus on pre-sales, and you will often step into post-sales style work when the stakes are high and continuity matters.About Applied Engineering at DeepgramApplied Engineering blends what many companies split into Solutions Engineering, Architecture, Consulting, and Senior Technical Support. We are builders and communicators who bridge sales and engineering. We help customers move from problem to production with speed, clarity, and measurable outcomes.What You Will DoLead technical discovery for strategic opportunities. Map business goals to measurable technical success criteria and an evaluation plan.Design, scope, and execute POCs that prove value. Define datasets, metrics, and timelines that land a clear technical win.Build lightweight prototypes, sample integrations, and demos using Deepgram SDKs and APIs.Advise on architecture for accuracy, latency, scalability, and cost. Cover cloud, self-hosted, hybrid, and data residency needs.Run security and compliance threads common in APAC. Prepare crisp responses for Singapore PDPA, Japan APPI, Korea PIPA, Australia’s Privacy Act, and India’s DPDP Act.Triage and debug issues during evaluations. Collaborate with Product, Engineering, and Support to unblock customers quickly.Create reusable assets that scale. Turn repeated requests into working samples, reference architectures, runbooks, and field guides.Partner with Solutions Architects and Support for seamless continuity after initial wins. Stay involved through expansion phases when needed.Enable the field. Collaborate with AEs, CSMs, and partners on positioning, demos, and technical validation for priority use cases.Regional ExpectationsBased in an APAC time zone with strong overlap to customer business hours across East Asia, Southeast Asia, and ANZ.Excellent written and spoken English. Additional Asian languages are a strong plus, especially Japanese, Korean, Mandarin, or Hindi.Familiarity with procurement, InfoSec, and data privacy expectations across APAC.Ability to travel within the region for key customer milestones. Estimated travel 10 to 20 percent.Your First 90 DaysRamp approach for this role Ramping mirrors the Solutions Architect plan, with explicit ticket work and earlier support for strategic Account Executives. In the first weeks you will pick up low-risk customer tickets to learn our systems and support flow, then progress to pre-sales escalations tied to active evaluations.First 30 daysRamp on Deepgram’s product surface area, platform APIs, SDKs, evaluation methodology, and security review materials.Shadow strategic discovery and POC calls across APAC time zones.Triage and resolve low-risk tickets with a Solutions Architect or Support partner. Focus on reproductions, log and trace collection, SDK setup issues, and clear notes and handoffs.Publish one internal field guide that clarifies a common APAC pre-sales topic (for example data residency, telephony capture, or evaluation metrics).By day 60Own two evaluations end to end with defined success criteria and timelines.Serve as the named technical partner for one or two strategic AEs. Run weekly technical deal reviews and prepare objection-handling packs.Take point on higher-signal tickets related to your evaluations, coordinating fast fixes with Product, Engineering, and Support.Deliver one live demo that becomes a reusable asset for the region. Pair with a Solutions Architect on a production launch to learn handoffs and escalation paths.By day 90Act as the primary pre-sales technical owner for several opportunities and expansions within strategic accounts.Close at least one complex technical win with a measurable impact on revenue.Lead one customer architecture workshop that documents a reference plan for production rollout or expansion.Convert repeated ticket patterns into a runbook, sample, or accelerator and present a short readout on the impact.You Will Thrive Here If YouEnjoy the mix of customer conversations and hands-on building.Can move from whiteboard to working code and back without losing the thread.Communicate clearly with executives and deeply with engineers.Value speed with rigor and crisp documentation.Like winning together across regions and functions.Minimum Qualifications5 or more years in Solutions Engineering or a similar customer-facing technical role focused on pre-sales.Professional software engineering experience in at least one language such as JavaScript/TypeScript, Python, or Rust. You can build POCs and tools that real users run.Hands-on experience with modern cloud platforms. Comfortable with Docker, Kubernetes, networking fundamentals, and secure API design.Proven track record leading POCs for enterprise customers and earning the technical win.Clear written and verbal communication across both technical and executive audiences.Preferred QualificationsExperience with speech recognition, TTS, voice quality analysis, or AI agents that orchestrate LLMs.Familiarity with telephony and real-time media concepts such as SIP, WebRTC, streaming, and WebSocket integrations.Experience with self-hosted and hybrid deployments, including Helm-based installs and production observability.Strong understanding of authentication, authorization, and data residency topics that appear in APAC enterprise reviews.Fluency in an additional Asian language such as Japanese, Korean, Mandarin, or Hindi.How We WorkRemote across APAC with periodic regional meetups.Close partnership with AEs, SAs, Product, and Engineering to support continuous coverage across APAC, EMEA, and the Americas.Shared playbooks, defined escalation paths, and measurable SLAs.Interview ProcessRecruiter screen focused on experience, motivations, and logistics.Hiring manager conversation focused on technical depth and customer impact.Practical assessment that mirrors real work. Expect discovery, solution design, and a short hands-on exercise.Panel interviews with cross-functional partners.Live demo and architecture walkthrough of a past technical win. Show your approach to success criteria, trade offs, and outcomes.If this sounds like you, we would love to meet you!Backed by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $85 million in total funding. If you're looking to work on cutting-edge technology and make a significant impact in the AI industry, we'd love to hear from you!Deepgram is an equal opportunity employer. We want all voices and perspectives represented in our workforce. We are a curious bunch focused on collaboration and doing the right thing. We put our customers first, grow together and move quickly. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate.We are happy to provide accommodations for applicants who need them.

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Company OverviewDeepgram is the leading voice AI platform for developers building speech-to-text (STT), text-to-speech (TTS) and full speech-to-speech (STS) offerings. 200,000+ developers build with Deepgram’s voice-native foundational models – accessed through APIs or as self-managed software – due to our unmatched accuracy, latency and pricing. Customers include software companies building voice products, co-sell partners working with large enterprises, and enterprises solving internal voice AI use cases. The company ended 2024 cash-flow positive with 400+ enterprise customers, 3.3x annual usage growth across the past 4 years, over 50,000 years of audio processed and over 1 trillion words transcribed. There is no organization in the world that understands voice better than DeepgramNote: this role is based out of the EMEA territory.The OpportunityDeepgram is expanding globally and building a true follow‑the‑sun model. We are hiring a Solutions Architect in EMEA to own complex post‑sales engagements, guide customers to production, and strengthen our technical support coverage for the region. You will work across the full customer lifecycle, with a primary focus on architecture, implementation, and Tier‑3 technical problem solving. You will also contribute to pre‑sales validation when deep technical credibility is needed, partner with Product and Engineering on feedback and roadmap, and help mature our global operations.About Applied Engineering at DeepgramApplied Engineering combines functions that other companies split across Solutions Engineering, Solutions Architecture, Consulting, and Senior Technical Support. We are the technical interface from first discovery through successful production and beyond. The team partners closely with Sales, Customer Success, Product, and DevRel to deliver an enterprise‑grade experience that is fast, clear, and outcome‑oriented.What You’ll DoLead architecture and implementation for enterprise deployments that use Deepgram’s speech‑to‑text, text‑to‑speech, and voice‑agent capabilities.Own post‑sales technical success for assigned accounts. Unblock integrations, optimize accuracy and latency, and guide customers to stable production.Serve as the Tier‑3 escalation point for complex issues. Drive root cause analysis, propose mitigations, and write durable fixes or automation when possible.Design reference architectures and implementation patterns for common EMEA customer use cases including contact centers, voice analytics, QA, and AI agents.Build high‑quality samples, internal tools, or scripts that make repeatable tasks easier for customers and for our team.Contribute to pre‑sales discovery and POCs when deep technical direction is needed. Translate business goals to a concrete plan with clear success criteria.Partner with Product and Engineering to prioritize fixes and features. Bring crisp customer signals that improve our roadmap.Contribute to knowledge systems. Capture runbooks, playbooks, and docs that scale your expertise across regions.Participate in an on‑call or incident rotation appropriate for the region and customer support tier. Help us meet or outperform regional SLAs.Regional ExpectationsBased in an EMEA time zone with reliable overlap to customer business hours.Excellent written and spoken English. Additional European languages are a strong plus.Familiarity with GDPR, data privacy expectations, and enterprise security reviews common across EMEA.Ability to travel within the region for critical customer milestones, estimated 10–20 percent.Your First 90 DaysFirst 30 daysRamp on Deepgram’s platform, APIs, SDKs, self-hosted deployments, and support practices. Shadow calls across pre-sales, post-sales, and support. Begin owning low-risk technical tasks for an active account and contribute improvements to runbooks or sample code.By day 60Own two to three customer workstreams end-to-end. Lead discovery for one new implementation or migration. Publish one reusable asset such as a deployment guide, Helm example, or troubleshooting playbook.By day 90Act as primary technical owner for several EMEA accounts in production. Close at least one complex investigation with measurable customer impact. Present a short readout on a repeated regional pattern and the automation or content you created to solve it.You’ll Thrive Here If YouEnjoy solving hard customer problems at the code, container, and cloud layers.Like translating messy real‑world constraints into clear architectures and plans.Are comfortable writing and reading production‑grade code, not just sample snippets.Value crisp documentation, reproducible runbooks, and operational excellence.Care about delivering outcomes, not just closing tickets.Minimum Qualifications5 or more years in Solutions Architecture, Solutions Engineering, or similar customer‑facing technical roles.Professional software engineering experience in at least one language such as Python, Rust, or JavaScript. You can build POCs and tools that real users run.Hands‑on experience with modern cloud platforms. Comfortable with containerization and orchestration, for example Docker and Kubernetes, and with secure network design for API‑driven systems.Proven ownership of complex post‑sales work such as production deployments, migrations, performance tuning, and incident response.Clear written and verbal communication across both technical and executive audiences.Preferred QualificationsExperience with speech recognition, TTS, or building voice agents that orchestrate LLMs.Familiarity with WER analysis, model selection and tuning, and accuracy‑versus‑latency tradeoffs.Experience operating self‑hosted systems, including Helm‑based deployments and observability for production services.Strong understanding of authentication, authorization, data residency, and compliance topics that appear in EMEA enterprise reviews.Fluency in an additional European language such as German, French, Dutch, Italian, or Spanish.How We WorkRemote across EMEA with periodic regional meetups.Collaboration with colleagues in the Americas and APAC to support continuous coverage.Shared playbooks, defined escalation paths, and measurable SLAs.Interview ProcessRecruiter screen focused on experience, motivations, and logistics.Hiring manager conversation focused on technical depth and customer impact.Technical assessment that mirrors real work. Expect practical coding, architecture discussion, and debugging.Panel interviews with cross‑functional partners.A presentation simulating a post-sales customer engagement, based on a provided case study. Additionally, you’ll be asked to present a past customer‑facing technical engagement that you led, including the problem, your approach, and measurable outcomes.If this sounds like you, we would love to meet you!Backed by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $85 million in total funding. If you're looking to work on cutting-edge technology and make a significant impact in the AI industry, we'd love to hear from you!Deepgram is an equal opportunity employer. We want all voices and perspectives represented in our workforce. We are a curious bunch focused on collaboration and doing the right thing. We put our customers first, grow together and move quickly. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate.We are happy to provide accommodations for applicants who need them.

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Company OverviewDeepgram is the leading voice AI platform for developers building speech-to-text (STT), text-to-speech (TTS) and full speech-to-speech (STS) offerings. 200,000+ developers build with Deepgram’s voice-native foundational models – accessed through APIs or as self-managed software – due to our unmatched accuracy, latency and pricing. Customers include software companies building voice products, co-sell partners working with large enterprises, and enterprises solving internal voice AI use cases. The company ended 2024 cash-flow positive with 400+ enterprise customers, 3.3x annual usage growth across the past 4 years, over 50,000 years of audio processed and over 1 trillion words transcribed. There is no organization in the world that understands voice better than DeepgramNote: this role is based out of the EMEA territory.OpportunityDeepgram is expanding globally and operating a follow-the-sun model. We are hiring a Pre-sales Solutions Engineer in EMEA to win complex technical evaluations, design clear solution paths, and drive repeatable adoption for strategic accounts. Our strategic Account Executives do not hand off their customers after the first sale, so you will partner long-term across discovery, POC, production launch, and expansion. You will focus on pre-sales, yet you will often step into post-sales style work when the stakes are high and continuity matters.About Applied Engineering at Deepgram Applied Engineering blends what many companies split into Solutions Engineering, Solutions Architecture, Solutions Consulting, and Technical Support. We are builders and communicators who bridge sales and engineering. We help customers move from problem to production with speed, clarity, and measurable outcomes.What You’ll DoLead technical discovery for strategic opportunities. Map business goals to measurable technical success criteria and an evaluation plan.Design, scope, and execute POCs that prove value. Define datasets, metrics, and timelines that land a clear technical win.Build lightweight prototypes, sample integrations, and demos using Deepgram SDKs and APIs. Show, do not tell.Advise on architecture for accuracy, latency, scalability, and cost. Cover cloud, self-hosted, hybrid, and data residency needs.Run security and compliance threads common in EMEA. Prepare crisp responses for GDPR, ISO 27001, SOC 2, and vendor risk reviews.Triage and debug issues during evaluations. Collaborate with Product, Engineering, and Support to unblock customers quickly.Create reusable assets that scale. Turn repeated requests into working samples, reference architectures, runbooks, and field guides.Partner with Solutions Architects and Support for seamless continuity after initial wins. Stay involved through expansion phases when needed.Enable the field. Collaborate with AEs, CSMs, and partners on positioning, demos, and technical validation for priority use cases.Regional ExpectationsBased in an EMEA time zone with strong overlap to customer business hours.Excellent written and spoken English. Additional European languages are a strong plus.Familiarity with procurement, InfoSec, and data privacy expectations across EMEA, including GDPR and data residency.Your First 90 DaysIn the first weeks you will pick up low-risk customer tickets to learn our systems and support flow, then progress to pre-sales escalations tied to active opportunities and engagements driven by Account Executives or partners.First 30 daysRamp on Deepgram’s product surface area, platform APIs, SDKs, evaluation methodology, and security review materials.Shadow strategic discovery and POC calls.Triage and resolve low-risk tickets with a Solutions Architect or Support partner. Focus on reproductions, log and trace collection, SDK setup issues, and clear notes and handoffs.Publish one internal field guide that clarifies a common EMEA pre-sales topic (for example data residency, telephony capture, or evaluation metrics).By day 60Own two evaluations end to end with defined success criteria and timelines.Serve as the named technical partner for one or two strategic AEs. Run weekly technical deal reviews and prepare objection handling packs.Take point on higher signal tickets related to your evaluations, coordinating fast fixes with Product, Engineering, and Support.Deliver one live demo that becomes a reusable asset for the region. Pair with a Solutions Architect on a production launch to learn handoffs and escalation paths.By day 90Act as the primary pre-sales technical owner for several opportunities and expansions within strategic accounts.Close at least one complex technical win with a measurable impact on revenue.Lead one customer architecture workshop that documents a reference plan for production rollout or expansion.Convert repeated ticket patterns into a runbook, sample, or accelerator and present a short readout on the impact.You Will Thrive Here If YouEnjoy the mix of customer conversations and hands-on building.Can move from whiteboard to working code and back without losing the thread.Communicate clearly with executives and deeply with engineers.Value speed with rigor and crisp documentation.Like winning together across regions and functions.Minimum Qualifications5 or more years in Solutions Engineering or a similar customer-facing technical role focused on pre-sales.Professional software engineering experience in at least one language such as JavaScript/TypeScript, Python, or Rust. You can build POCs and tools that real users run.Hands-on experience with modern cloud platforms. Comfortable with Docker, Kubernetes, networking fundamentals, and secure API design.Proven track record leading POCs for enterprise customers and earning the technical win.Clear written and verbal communication across both technical and executive audiences.Preferred QualificationsExperience with speech recognition, TTS, voice quality analysis, or AI agents that orchestrate LLMs.Familiarity with telephony and real-time media concepts such as SIP, WebRTC, streaming, and WebSocket integrations.Experience with self-hosted and hybrid deployments, including Helm-based installs and production observability.Strong understanding of authentication, authorization, and data residency topics that appear in EMEA enterprise reviews.Fluency in an additional European language such as German, French, Dutch, Italian, or Spanish.How We WorkRemote across EMEA with periodic regional meetups.Close partnership with AEs, SAs, Product, and Engineering to support continuous coverage across EMEA, the Americas, and APAC.Shared playbooks, defined escalation paths, and measurable SLAs.Interview ProcessRecruiter screen focused on experience, motivations, and logistics.Hiring manager conversation focused on technical depth and customer impact.Practical assessment that mirrors real work. Expect discovery, solution design, and a short hands-on exercise.Panel interviews with cross-functional partners.Simulated pre-sales engagement based on a case study, along with and architecture walkthrough of a past technical win. Show your approach to success criteria, trade offs, and outcomes.Backed by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $85 million in total funding. If you're looking to work on cutting-edge technology and make a significant impact in the AI industry, we'd love to hear from you!Deepgram is an equal opportunity employer. We want all voices and perspectives represented in our workforce. We are a curious bunch focused on collaboration and doing the right thing. We put our customers first, grow together and move quickly. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate.We are happy to provide accommodations for applicants who need them.

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📐 About this roleWRITER is seeking an Application Security Engineer with deep expertise in AppSec, DevSecOps automation, and red team operations to secure our AI and AGI applications.At WRITER, security is woven into the heart of our innovation. As we continue to push the boundaries of AI, we need a seasoned security engineer who can anticipate threats, integrate security into fast-moving development pipelines, and validate our defenses through hands-on testing.You’ll play a pivotal role in building security directly into our CI/CD workflows, uncovering and exploiting vulnerabilities before attackers can, and collaborating with cross-functional partners to safeguard our cutting-edge AI solutions. This is a highly technical, impact-driven role for someone who thrives at the intersection of security engineering, automation, and offensive testing.If you’re passionate about proactively securing complex applications—and can turn red team findings into real-world defenses—we want to hear from you.Role Boundaries & CollaborationWhat You Own (Responsible)Build pipeline security (pre-deployment phase)Security gates and checks in CI/CDApplication penetration testingContainer scanning in build phaseApplication-layer vulnerability discoveryWhat You Don't Own (Others Lead)Deployment pipeline security (Cloud/Infrastructure owns)Infrastructure-as-code security (Cloud/Infrastructure owns)Production runtime security (Cloud/Infrastructure owns)AI model security research (AI Security owns)Key PartnershipsWith Cloud/Infrastructure: Clear handoff at build/deploy boundary. You secure the build; they secure the deployWith AI Security: They provide threat models for AI-specific risks; you implement tests in CI/CDWith Detection & Response: You find vulnerabilities proactively; they detect attacks in production🦸🏻‍♀️ Your responsibilitiesEmbed security in the build pipeline — Own pre-deployment application security, including automated vulnerability scanning, container scanning, and custom security gates in CI/CD.Conduct advanced application penetration testing — Perform comprehensive testing on AI applications, APIs, and model endpoints, simulating adversarial attacks to validate controls.Automate security testing at scale — Develop scripts, tools, and frameworks for continuous security assessment, including SAST, DAST, and SCA integration.Lead application-layer red team exercises — Plan and execute engagements that mimic sophisticated adversary techniques targeting AI systems.Hunt and validate vulnerabilities — Discover, reproduce, and chain vulnerabilities into realistic attack paths, providing actionable remediation guidance.Advise on security architecture — Review designs for weaknesses, create secure patterns, and identify systemic issues across applications.Collaborate across boundaries — Partner with Cloud/Infrastructure on deployment/runtime security, AI Security on threat modeling, and Detection & Response on defensive validation.⭐️ Is this you?Required Experience8+ years in application security, with a strong focus on hands-on testing.5+ years conducting penetration tests and security assessments.Proven record of finding and exploiting critical vulnerabilities.Deep experience integrating security into DevOps workflows and CI/CD pipelines.Strong programming skills for exploit development and security automation.Expertise in web application and API security, including cloud-native architectures.Technical ExpertiseProficient with penetration testing tools (e.g., Burp Suite, OWASP ZAP, custom scripts).Skilled in SAST, DAST, and SCA tools.Strong understanding of application-layer attack techniques and exploitation.Experience with supply chain security and build pipeline hardening.Execution & ImpactDemonstrated ability to identify vulnerabilities others miss.Proven track record of automating security testing in fast-paced development cycles.Ability to translate red team findings into concrete defensive measures.History of effective collaboration with engineering teams.Preferred QualificationsBackground in software development or DevOps.Experience testing AI/ML applications.Security certifications such as OSCP, OSWE, or GWAPT.Published security research or CVEs.Experience with purple team operations. 🍩 Benefits & perks (US Full-time employees)Generous PTO, plus company holidaysMedical, dental, and vision coverage for you and your familyPaid parental leave for all parents (12 weeks)Fertility and family planning supportEarly-detection cancer testing through GalleriFlexible spending account and dependent FSA optionsHealth savings account for eligible plans with company contributionAnnual work-life stipends for:Home office setup, cell phone, internetWellness stipend for gym, massage/chiropractor, personal training, etc.Learning and development stipendCompany-wide off-sites and team off-sitesCompetitive compensation, company stock options and 401kWRITER is an equal-opportunity employer and is committed to diversity. We don't make hiring or employment decisions based on race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other basis protected by applicable local, state or federal law. Under the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.By submitting your application on the application page, you acknowledge and agree to WRITER's Global Candidate Privacy Notice.

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📐 About this roleWRITER is seeking an Application Security Engineer with deep expertise in AppSec, DevSecOps automation, and red team operations to secure our AI and AGI applications.At WRITER, security is woven into the heart of our innovation. As we continue to push the boundaries of AI, we need a seasoned security engineer who can anticipate threats, integrate security into fast-moving development pipelines, and validate our defenses through hands-on testing.You’ll play a pivotal role in building security directly into our CI/CD workflows, uncovering and exploiting vulnerabilities before attackers can, and collaborating with cross-functional partners to safeguard our cutting-edge AI solutions. This is a highly technical, impact-driven role for someone who thrives at the intersection of security engineering, automation, and offensive testing.If you’re passionate about proactively securing complex applications—and can turn red team findings into real-world defenses—we want to hear from you.Role Boundaries & CollaborationWhat You Own (Responsible)Build pipeline security (pre-deployment phase)Security gates and checks in CI/CDApplication penetration testingContainer scanning in build phaseApplication-layer vulnerability discoveryWhat You Don't Own (Others Lead)Deployment pipeline security (Cloud/Infrastructure owns)Infrastructure-as-code security (Cloud/Infrastructure owns)Production runtime security (Cloud/Infrastructure owns)AI model security research (AI Security owns)Key PartnershipsWith Cloud/Infrastructure: Clear handoff at build/deploy boundary. You secure the build; they secure the deployWith AI Security: They provide threat models for AI-specific risks; you implement tests in CI/CDWith Detection & Response: You find vulnerabilities proactively; they detect attacks in production🦸🏻‍♀️ Your responsibilitiesEmbed security in the build pipeline — Own pre-deployment application security, including automated vulnerability scanning, container scanning, and custom security gates in CI/CD.Conduct advanced application penetration testing — Perform comprehensive testing on AI applications, APIs, and model endpoints, simulating adversarial attacks to validate controls.Automate security testing at scale — Develop scripts, tools, and frameworks for continuous security assessment, including SAST, DAST, and SCA integration.Lead application-layer red team exercises — Plan and execute engagements that mimic sophisticated adversary techniques targeting AI systems.Hunt and validate vulnerabilities — Discover, reproduce, and chain vulnerabilities into realistic attack paths, providing actionable remediation guidance.Advise on security architecture — Review designs for weaknesses, create secure patterns, and identify systemic issues across applications.Collaborate across boundaries — Partner with Cloud/Infrastructure on deployment/runtime security, AI Security on threat modeling, and Detection & Response on defensive validation.⭐️ Is this you?Required Experience8+ years in application security, with a strong focus on hands-on testing.5+ years conducting penetration tests and security assessments.Proven record of finding and exploiting critical vulnerabilities.Deep experience integrating security into DevOps workflows and CI/CD pipelines.Strong programming skills for exploit development and security automation.Expertise in web application and API security, including cloud-native architectures.Technical ExpertiseProficient with penetration testing tools (e.g., Burp Suite, OWASP ZAP, custom scripts).Skilled in SAST, DAST, and SCA tools.Strong understanding of application-layer attack techniques and exploitation.Experience with supply chain security and build pipeline hardening.Execution & ImpactDemonstrated ability to identify vulnerabilities others miss.Proven track record of automating security testing in fast-paced development cycles.Ability to translate red team findings into concrete defensive measures.History of effective collaboration with engineering teams.Preferred QualificationsBackground in software development or DevOps.Experience testing AI/ML applications.Security certifications such as OSCP, OSWE, or GWAPT.Published security research or CVEs.Experience with purple team operations. 🍩 Benefits & perks (US Full-time employees)Generous PTO, plus company holidaysMedical, dental, and vision coverage for you and your familyPaid parental leave for all parents (12 weeks)Fertility and family planning supportEarly-detection cancer testing through GalleriFlexible spending account and dependent FSA optionsHealth savings account for eligible plans with company contributionAnnual work-life stipends for:Home office setup, cell phone, internetWellness stipend for gym, massage/chiropractor, personal training, etc.Learning and development stipendCompany-wide off-sites and team off-sitesCompetitive compensation, company stock options and 401kWRITER is an equal-opportunity employer and is committed to diversity. We don't make hiring or employment decisions based on race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other basis protected by applicable local, state or federal law. Under the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.By submitting your application on the application page, you acknowledge and agree to WRITER's Global Candidate Privacy Notice.

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📐 About this roleWRITER is seeking an Application Security Engineer with deep expertise in AppSec, DevSecOps automation, and red team operations to secure our AI and AGI applications.At WRITER, security is woven into the heart of our innovation. As we continue to push the boundaries of AI, we need a seasoned security engineer who can anticipate threats, integrate security into fast-moving development pipelines, and validate our defenses through hands-on testing.You’ll play a pivotal role in building security directly into our CI/CD workflows, uncovering and exploiting vulnerabilities before attackers can, and collaborating with cross-functional partners to safeguard our cutting-edge AI solutions. This is a highly technical, impact-driven role for someone who thrives at the intersection of security engineering, automation, and offensive testing.If you’re passionate about proactively securing complex applications—and can turn red team findings into real-world defenses—we want to hear from you.Role Boundaries & CollaborationWhat You Own (Responsible)Build pipeline security (pre-deployment phase)Security gates and checks in CI/CDApplication penetration testingContainer scanning in build phaseApplication-layer vulnerability discoveryWhat You Don't Own (Others Lead)Deployment pipeline security (Cloud/Infrastructure owns)Infrastructure-as-code security (Cloud/Infrastructure owns)Production runtime security (Cloud/Infrastructure owns)AI model security research (AI Security owns)Key PartnershipsWith Cloud/Infrastructure: Clear handoff at build/deploy boundary. You secure the build; they secure the deployWith AI Security: They provide threat models for AI-specific risks; you implement tests in CI/CDWith Detection & Response: You find vulnerabilities proactively; they detect attacks in production🦸🏻‍♀️ Your responsibilitiesEmbed security in the build pipeline — Own pre-deployment application security, including automated vulnerability scanning, container scanning, and custom security gates in CI/CD.Conduct advanced application penetration testing — Perform comprehensive testing on AI applications, APIs, and model endpoints, simulating adversarial attacks to validate controls.Automate security testing at scale — Develop scripts, tools, and frameworks for continuous security assessment, including SAST, DAST, and SCA integration.Lead application-layer red team exercises — Plan and execute engagements that mimic sophisticated adversary techniques targeting AI systems.Hunt and validate vulnerabilities — Discover, reproduce, and chain vulnerabilities into realistic attack paths, providing actionable remediation guidance.Advise on security architecture — Review designs for weaknesses, create secure patterns, and identify systemic issues across applications.Collaborate across boundaries — Partner with Cloud/Infrastructure on deployment/runtime security, AI Security on threat modeling, and Detection & Response on defensive validation. ⭐️ Is this you?Required Experience8+ years in application security, with a strong focus on hands-on testing.5+ years conducting penetration tests and security assessments.Proven record of finding and exploiting critical vulnerabilities.Deep experience integrating security into DevOps workflows and CI/CD pipelines.Strong programming skills for exploit development and security automation.Expertise in web application and API security, including cloud-native architectures.Technical ExpertiseProficient with penetration testing tools (e.g., Burp Suite, OWASP ZAP, custom scripts).Skilled in SAST, DAST, and SCA tools.Strong understanding of application-layer attack techniques and exploitation.Experience with supply chain security and build pipeline hardening.Execution & ImpactDemonstrated ability to identify vulnerabilities others miss.Proven track record of automating security testing in fast-paced development cycles.Ability to translate red team findings into concrete defensive measures.History of effective collaboration with engineering teams.Preferred QualificationsBackground in software development or DevOps.Experience testing AI/ML applications.Security certifications such as OSCP, OSWE, or GWAPT.Published security research or CVEs.Experience with purple team operations.🍩 Benefits & perks (UK full-time employees):Generous PTO, plus company holidaysComprehensive medical and dental insurancePaid parental leave for all parents (12 weeks)Fertility and family planning supportEarly-detection cancer testing through GalleriCompetitive pension scheme and company contributionAnnual work-life stipends for:Home office setup, cell phone, internetWellness stipend for gym, massage/chiropractor, personal training, etc.Learning and development stipendCompany-wide off-sites and team off-sitesCompetitive compensation and company stock options

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📐 About this roleWRITER is seeking a Detection and Response Engineer to defend our AI/AGI platforms, training data, and deployed models against sophisticated and evolving threats.At WRITER, protecting the integrity of our AI systems is as critical as advancing their capabilities. This role blends hands-on security engineering with strategic threat detection, ensuring our defenses evolve faster than the adversaries targeting our infrastructure. You’ll design advanced detections, automate rapid responses, and lead investigations into incidents affecting our AI stack—covering everything from GPU clusters to model inference endpoints.You’ll be the operational heartbeat of our AI security posture, partnering across security, infrastructure, and research teams to detect attacks, orchestrate containment, and safeguard our most valuable intellectual property.If you thrive on staying ahead of attackers and can turn cutting-edge AI threat intelligence into production-grade detection systems, we’d love to hear from you.Role Boundaries & CollaborationWhat You Own (Responsible)Incident response coordinationReal-time threat monitoring and detectionProduction AI monitoring (not research)Forensic investigationDetection engineering across all security domainsAI threat detection implementationWhat You Don't Own (Others Lead)AI security research (AI Security owns)Preventive security controls (respective domain teams own)Customer-facing security features (Software Security Engineering owns)Infrastructure hardening (Cloud/Infrastructure owns)Key PartnershipsWith AI Security: They provide threat research and models; you implement production monitoringWith All Security Teams: You detect attacks across all domains; they build preventive controlsWith Cloud/Infrastructure: They build infrastructure; you monitor it for threatsWith Software Security Engineering: You detect customer-impacting incidents; they build protections🦸🏻‍♀️ Your responsibilitiesEngineer advanced threat detection — Design and implement detections for AI/ML-specific threats including prompt injection, model extraction, data poisoning, and adversarial inputs.Automate security responses — Build playbooks and orchestration workflows that contain AI-targeted attacks in minutes, not hours.Lead AI incident response — Coordinate cross-team investigations into compromises of models, training data, and inference endpoints.Hunt for AI-specific threats — Proactively search for active attacks across GPU clusters, training pipelines, and model deployments.Enhance visibility & telemetry — Onboard, optimize, and analyze logging from AI infrastructure to detect anomalies and misuse.Collaborate across domains — Partner with AI Security on threat intelligence, Cloud/Infrastructure on runtime monitoring, and Software Security Engineering on customer-impacting incidents.⭐️ Is this you?Required Experience8+ years in security operations, detection engineering, or incident response.3+ years securing AI/ML infrastructure or high-performance computing environments.Proven ability to detect and stop sophisticated attacks.Experience with distributed systems, GPU cluster security, and cloud-native monitoring.Proficiency with SIEM platforms and detection technologies.Strong programming skills in Python, KQL, SPL, or similar.Technical ExpertiseDeep understanding of AI/ML attack vectors such as adversarial examples, model inversion, and membership inference.Experience securing training pipelines, model deployments, and sensitive research environments.Knowledge of GPU computing security challenges.Hands-on forensics experience in distributed or cloud-based systems.Execution & ImpactDemonstrated success in building detections for novel, AI-specific attack techniques.History of safeguarding high-value intellectual property.Proven record of automating incident response at scale.Track record of uncovering critical security gaps through proactive threat hunting.Preferred QualificationsBackground in AI/ML engineering or research.Experience with AI safety and AI/ML security research.Familiarity with APT tactics targeting AI companies.Contributions to the AI security research community.Experience with confidential computing or secure enclaves.🍩 Benefits & perks (UK full-time employees):Generous PTO, plus company holidaysComprehensive medical and dental insurancePaid parental leave for all parents (12 weeks)Fertility and family planning supportEarly-detection cancer testing through GalleriCompetitive pension scheme and company contributionAnnual work-life stipends for:Home office setup, cell phone, internetWellness stipend for gym, massage/chiropractor, personal training, etc.Learning and development stipendCompany-wide off-sites and team off-sitesCompetitive compensation and company stock options

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Perplexity is an AI-powered answer engine founded in December 2022 and growing rapidly as one of the world’s leading AI platforms. Perplexity has raised over $1B in venture investment from some of the world’s most visionary and successful leaders, including Elad Gil, Daniel Gross, Jeff Bezos, Accel, IVP, NEA, NVIDIA, Samsung, and many more. Our objective is to build accurate, trustworthy AI that powers decision-making for people and assistive AI wherever decisions are being made. Throughout human history, change and innovation have always been driven by curious people. Today, curious people use Perplexity to answer more than 780 million queries every month–a number that’s growing rapidly for one simple reason: everyone can be curious. Introduction At Perplexity AI, the Sonar API powers AI-native search, retrieval, and automation for some of the world’s most innovative companies. Our Support team is the frontline for developer and enterprise success—ensuring that customers can build fast, reliable, and differentiated products on top of Sonar’s capabilities. We don’t just answer tickets—we partner deeply with customers, Product, and Engineering to architect solutions, debug complex integrations, and influence the roadmap based on real-world developer needs. About the Role We’re looking for a Customer Success Engineer to be a hands-on technical partner for our Sonar API customers. This is a deeply technical, customer-facing role—equal parts solution architect, developer advocate, and technical program manager. You’ll work end-to-end with developers, product teams, and executives at our customers’ organizations—from designing their Sonar-powered architecture to optimizing query performance and implementing new features. You’ll also contribute to internal tooling, docs, and demos that make Sonar adoption easier and more impactful. This role is ideal for TPMs, solutions engineers, or software engineers who have moved into customer-facing work but still want to build, prototype, and problem-solve daily. Key Responsibilities Serve as the dedicated technical partner for strategic Sonar API customers, guiding them through architecture design, integration, and optimization. Troubleshoot API performance, grounding quality, and integration challenges—diving directly into code and logs when needed. Prototype example integrations, search workflows, and demos to accelerate adoption and inspire customer innovation. Collaborate with Engineering and Product to resolve high-priority escalations, ensuring minimal downtime and maximum reliability. Capture and synthesize customer feedback to improve Sonar’s API features, SDKs, and developer experience. Maintain deep familiarity with Sonar’s latest capabilities, competitive positioning, and best practices, and use this knowledge to advise customers. What We’re Looking For Must-Haves 5+ years in technical support engineering, software engineering, or solutions engineering, with direct application development experience. Strong API integration skills—able to design and debug REST/JSON payloads, manage auth flows, and optimize latency. Proven track record of diagnosing complex technical issues across distributed systems, APIs, and customer environments. Excellent communicator who can work with both developer teams and non-technical stakeholders. Bachelor’s degree in Computer Science or equivalent hands-on experience. Nice-to-Haves Experience working with search, retrieval-augmented generation (RAG), or AI/ML APIs. Background in developer tools or platform engineering, especially in high-scale or low-latency environments. Strong familiarity with Python or JavaScript for building integrations, SDKs, or prototypes. History of working at startups or small teams where you owned customer projects end-to-end. Why Join Us The Sonar API is quickly becoming a core infrastructure layer for AI-powered search and automation. As a Customer Success Engineer, you’ll help shape how our customers—from startups to Fortune 500s—bring their most ambitious ideas to life. You’ll be joining a fast-moving, high-impact team where your technical skills, creativity, and ability to bridge product and customer needs will directly influence both Sonar’s roadmap and its market success. Final offer amounts are determined by multiple factors, including, experience and expertise, and may vary from the amounts listed above.   Equity: In addition to the base salary, equity may be part of the total compensation package. Benefits: Comprehensive health, dental, and vision insurance for you and your dependents. Includes a 401(k) plan.  

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THE OPPORTUNITY:We’re looking for a strategic, action-oriented community leader. You’ll define what community means at Brisk and build it into a connected, thriving ecosystem that educators can’t find anywhere else. You’ll own Brisk’s core community spaces and design unique experiences that drive engagement, advocacy, and growth.This role blends vision and execution: you’ll set strategy, create programming, and roll up your sleeves to make it real. You’ll think holistically about how our educators discover us, connect with each other, deepen their skills, and become passionate advocates for Brisk. But you won’t stop there! You’ll design and lead the lifecycle of our entire community, mapping how these spaces connect and grow together, and identifying new, differentiated ways to expand our reach and impact in a crowded edtech space.To succeed, you’ll need both the fast-paced, scrappy instincts of a SAAS AI startup marketer and the deep empathy and understanding of educators to build something that feels authentic, valuable, and irreplaceable. You’ll also bring an on-stage presence, comfortable hosting live and virtual events, leading professional development sessions, recording videos, and bringing energy that draws people in.Strategic Community Leadership at BriskLead the vision, strategy, and growth of Brisk’s educator community. Your work will transform our three community spaces into powerful engines for engagement, loyalty, and word-of-mouth growth.What you’ll own:Define the long-term vision for Brisk’s educator community and bring it to life as a connected, high-value ecosystem.Build a clear lifecycle for how educators discover, join, and move between community spaces, maximizing retention and engagement at every step.Set measurable goals for each space and for the ecosystem as a whole, tracking growth, engagement, and advocacy.Core Community Spaces:Facebook Group: Design and lead a growth strategy that turns our Facebook Group into the go-to daily hub for educators using AI - where discussions are lively, insights are shared freely, and Brisk becomes part of teachers’ everyday routines.AI Professional Courses: Build out our free AI training programs into a flagship Brisk experience - continually evolving the content, format, and delivery to be the most valuable, engaging, and widely recommended PD in education.Club Brisk: Grow and energize our ambassador program into a thriving, self-sustaining network where our top Brisk educators are actively engaging, sharing, and inspiring others to use Brisk.Success in this role means:Brisk’s community spaces are the most engaged, fastest-growing educator hubs in edtech.Teachers actively share Brisk in their networks and bring it into their schools without prompting. Each community space has a clear identity, purpose, and value educators can articulate in one sentence.Brisk champions and ambassadors are driving real adoption in schools and districts.Educator stories, wins, and expertise are shared widely across Brisk’s channels. YOU WILL:Growth & EngagementCreate and execute community growth strategies that scale Brisk’s educator reach.Design programs that turn members into active advocates, with clear pathways from first touch to Brisk champion.Monitor engagement data and feedback, making fast, strategic adjustments to keep momentum high. Programming & DifferentiationBuild unique, stand-out experiences in each community space - activities, challenges, and collaborations exclusive to Brisk.Create cross-community connections so teachers move fluidly between Facebook, PD courses, and Club Brisk.Ensure every space has a clear identity, purpose, and value proposition that educators can articulate instantly. Storytelling & VisibilityIdentify and showcase teacher success stories across posts, videos, and live events.Partner with marketing to integrate educator voices into Brisk’s broader brand presence.Elevate community-generated content into wider campaigns that boost awareness and credibility. Professional Development & EventsBuild and maintain an evolving library of AI teaching resources to support Brisk users at every stage.Lead Brisk’s YouTube strategy for tutorials, feature spotlights, and classroom success stories.Confidently host in-person and virtual events, from community meetups to webinars to PD sessions, you’ll bring energy, warmth, and clarity that engage and inspire.Represent Brisk at major conferences, securing speaking opportunities, hosting community meetups, and amplifying educator-led sessions. YOU HAVE:At least 4 years of community marketing experience.Self-starter with strategic vision - you anticipate needs, identify opportunities, and take action without being asked.Proven experience building and growing educator or professional communities, including from the ground up.Strong balance of long-term strategic thinking with hands-on execution.Skilled at building authentic relationships with educators and inspiring engagement.Data-informed mindset with the ability to set measurable goals and iterate quickly.Creative marketer at heart - comfortable experimenting with new ideas, social trends, and viral moments.Natural, confident communicator who thrives in live settings, on video, and in front of an audience.Experience in a venture-backed startup.Equal Employment Opportunity & DiversityAt Brisk, we believe that diverse perspectives make better teams and stronger products. We are an equal opportunity employer and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, age, national origin, veteran status, disability, or any other legally protected status.

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Shape the Future of AI At Labelbox, we're building the critical infrastructure that powers breakthrough AI models at leading research labs and enterprises. Since 2018, we've been pioneering data-centric approaches that are fundamental to AI development, and our work becomes even more essential as AI capabilities expand exponentially. About Labelbox We're the only company offering three integrated solutions for frontier AI development: Enterprise Platform & Tools: Advanced annotation tools, workflow automation, and quality control systems that enable teams to produce high-quality training data at scale Frontier Data Labeling Service: Specialized data labeling through Alignerr, leveraging subject matter experts for next-generation AI models Expert Marketplace: Connecting AI teams with highly skilled annotators and domain experts for flexible scaling Why Join Us High-Impact Environment: We operate like an early-stage startup, focusing on impact over process. You'll take on expanded responsibilities quickly, with career growth directly tied to your contributions. Technical Excellence: Work at the cutting edge of AI development, collaborating with industry leaders and shaping the future of artificial intelligence. Innovation at Speed: We celebrate those who take ownership, move fast, and deliver impact. Our environment rewards high agency and rapid execution. Continuous Growth: Every role requires continuous learning and evolution. You'll be surrounded by curious minds solving complex problems at the frontier of AI. Clear Ownership: You'll know exactly what you're responsible for and have the autonomy to execute. We empower people to drive results through clear ownership and metrics. Role Overview As an Applied Research Engineer at Labelbox, you’ll sit at the junction of advanced AI research and real product impact, with a focus on the data that makes modern agents work—browser interactions, SWE/code traces, GUI sessions, and multi-turn workflows. You’ll drive the data landscape required to advance capable, adaptable agents and help shape Labelbox’s strategy for collecting, synthesizing, and evaluating it. You will possess expertise in LLM agents and planning/execution loops, plus creativity in tackling problems across data design, interaction, and measurement. You’ll publish meaningful results, collaborate with customer researchers in frontier AI labs, and turn prototypes into reliable, scalable features. Your Impact Create frameworks and tools to construct, train, benchmark and evaluate autonomous agent capabilities. Design agent-focused data programs using supervised fine-tuning (SFT) and reinforcement learning (RL) methodologies. Develop data pipelines from diverse sources like code repositories, web browsers, and computer systems. Implement and adapt popular open-source agent libraries and benchmarks with proprietary datasets and models. Engage with research teams in frontier AI labs and the wider AI community to understand evolving agent data needs for frontier models and share best practices. Collaborate closely with frontier AI lab customers to understand requirements and guide model development. Publish research findings in academic journals, conferences, and blog posts. What You Bring Ph.D. or Master's degree in Computer Science, Machine Learning, AI, or related field. At least 3 years of experience addressing sophisticated ML problems with successful delivery to customers. Experience building and training autonomous agents—tool use, structured outputs, multi-step planning—across browsers/GUI, codebases, and databases using SFT and RL. Constructed and evaluated agentic benchmarks (e.g. SWE-bench, WebArena, τ-bench, OSWorld) and reliability/efficiency suites (e.g. WABER).  Adept at interpreting research literature and quickly turning new ideas into prototypes. Deep understanding of frontier models (autoregressive, diffusion), post-training (SFT, RLVR, RLAIF, RLHF, et al.), and their human data requirements. Proficient in Python, data science libraries and deep learning frameworks (e.g., PyTorch, JAX, TensorFlow). Strong analytical and problem-solving abilities in ambiguous situations. Excellent communication skills. Track record of publications in top-tier AI/ML venues (e.g., ACL, EMNLP, NAACL, NeurIPS, ICML, ICLR, etc.). Labelbox Applied Research At Labelbox Applied Research, we're committed to pushing the boundaries of AI and data-centric machine learning, with a particular focus on advanced human-AI interaction techniques. We believe that high-quality human data and sophisticated human feedback integration methods are key to unlocking the next generation of AI capabilities. Our research team works at the intersection of machine learning, human-computer interaction, and AI ethics to develop innovative solutions that can be practically applied in real-world scenarios. We foster an environment of intellectual curiosity, collaboration, and innovation. We encourage our researchers to explore new ideas, engage in open discussions, and contribute to the wider AI community through publications and conference presentations. Our goal is to be at the forefront of human-centric AI development, setting new standards for how AI systems learn from and interact with humans.Labelbox strives to ensure pay parity across the organization and discuss compensation transparently.  The expected annual base salary range for United States-based candidates is below. This range is not inclusive of any potential equity packages or additional benefits. Exact compensation varies based on a variety of factors, including skills and competencies, experience, and geographical location.Annual base salary range$250,000—$300,000 USDLife at Labelbox Location: Join our dedicated tech hubs in San Francisco or Wrocław, Poland Work Style: Hybrid model with 2 days per week in office, combining collaboration and flexibility Environment: Fast-paced and high-intensity, perfect for ambitious individuals who thrive on ownership and quick decision-making Growth: Career advancement opportunities directly tied to your impact Vision: Be part of building the foundation for humanity's most transformative technology Our Vision We believe data will remain crucial in achieving artificial general intelligence. As AI models become more sophisticated, the need for high-quality, specialized training data will only grow. Join us in developing new products and services that enable the next generation of AI breakthroughs. Labelbox is backed by leading investors including SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures, Databricks Ventures, and Kleiner Perkins. Our customers include Fortune 500 enterprises and leading AI labs. Your Personal Data Privacy: Any personal information you provide Labelbox as a part of your application will be processed in accordance with Labelbox’s Job Applicant Privacy notice. Any emails from Labelbox team members will originate from a @labelbox.com email address. If you encounter anything that raises suspicions during your interactions, we encourage you to exercise caution and suspend or discontinue communications.

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What is Findem: Findem is HR 2.0. We’re a fast-growth startup with an ambitious vision and the technology to back it up. Our People Intelligence platform uses true AI and machine learning to provide critical solutions for talent acquisition and people analytics functions. With the deep insights that our platform provides, companies can build more engaged and diverse teams, and close their talent gaps faster. We have an amazing opportunity to establish ourselves as leaders in this space, and we need strong advocates to help us achieve that goal. We’re backed by top-tier investors including Wing Venture Capital – the same firm that backed Snowflake, Cohesity, and Gong. Findem powers businesses across scaling, pre-IPO, and publicly traded companies who trust us to solve their biggest HR and Talent challenges. We have an incredibly skilled and collaborative team that values curiosity, diversity, openness and building great experiences every day for our customers. Our PM team tends to attract scrappy, collaborative, high-ownership, customer-driven innovators. Emojis, jokes, and pet pictures flow freely in our Slack. Why We Need You: We’re looking for a seasoned Principal Product Manager who can lead one of the most important bets for the company. This role will lead this initiative, including setting strategy / KPIs, driving product choices and delivering high impact. You will be comfortable getting hands-on with detailed, nuanced product choices, while also understanding the larger path ahead with your overall strategy. Finally, to land a great outcome, you will need to be an excellent cross-functional collaborator. What You'll Do:Scope: Lead a major product at Findem, including setting long-term strategy, and making the business case for more investmentInsights: Own the company’s thesis for the market segment including the target buyer and customer personas and their most important needsProduct craft: Bring robust, first-principle, out of the box thinking to our problem space, and using quantitative and qualitative data to drive your conclusionsCrafted execution: Work closely with engineering to focus our efforts on the most impactful innovations, owning prioritization, unblocking major issues, and landing product milestonesCommunication: Working cross-functionally with marketing, GMs, support, and other stakeholders to drive alignment to the right goals. Your Working Experience:7+ years as a product manager, ideally with startup experienceExperience doing 0->1 and 1->10 product buildingExperience in with B2B PLG products, B2B SaaS (especially for multi-step workflows)Ability to drive short term execution while building towards (and testing) a long term vision What Makes You a Great Fit:Prior experience with assisting or automating manual workflowsPrior experience in recruiting or HR softwarePrior experience in AI/ML products

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About BasisBasis equips accountants with a team of AI agents to take on real workflows.We have hit product market fit, have more demand than we can meet, and just raised $34m to scale at a speed that meets this moment.Built in New York City. Read more about Basis here.Why joinWorld class investors: We're backed by Keith Rabois from Khosla Ventures alongside Nat Friedman, Daniel Gross, Aaron Levie, Adam D'angelo, Amjad Masad, Jack Altman, Jeff Dean, Larry Summers, Noam Brown and many leaders from the ML and fintech community. Check out our announcement for an expansive listExtremely fast growth: We’ve partnered with some of the largest accounting firms in the world, with revenue 10x-ing over the last 5 monthsBe part of building a company: We’re scaling the team fast and the business faster, meaning there will always be more responsibility than we have people. No better place to get a ton of responsibility and ownership on day 1In person & interdisciplinary: We operate on the frontier of what’s technically possible. That is why being in-person is a must. We’re bringing together the brightest minds from the top engineering, ML, and accounting teams to work together in our NYC office and build production quality agentic systemsHigh risk: We believe the world is about to change in profound ways. We are building Basis to be on the cutting-edge of that change for a decade to come, and we have an appetite for the risk that comes with that. The journey has just begunCompensation: We aim to pay competitively for cash compensation and well above market for equity compensation because the whole team is all-in, and we want you to be too📍 Location: NYC, Flatiron office. In-person team.About the roleWe are going after a massive business opportunity where we currently lead technologically and are becoming the industry standard. We need to press our advantage by building a world class sales organization that can sell multiple products lines to multiple buyers.What You'll DoLead value based demos that show prospects how AI agents will transform their month-end close, reconciliations, audit workflows, and moreBe the finance expert who can answer any question about technical accounting, compliance, or technical integrationOwn security and IT questionnaires and guide prospects through technical due diligence processesDrive technical qualification by identifying the best opportunities and leading structured evaluationsPartner with Account Executives on sales strategy for complex cycles and enterprise dealsEnsure smooth handoffs to post-sales teams through effective knowledge transferStay sharp on accounting practices, industry trends, and competitive landscapeMinimum QualificationsExperience: 3+ years in accounting, finance, investment banking, or Private EquityProcess-oriented: Break down complex problems into clear, repeatable stepsStrong communicator: Explain technical concepts to both executives and accounting teamsFirst principles reasoner: Question assumptions and apply lessons to new solutionsCompany-builder: Excited to build foundations as we rapidly scaleAll-in: Ready for high velocity, high responsibility environmentOffice lover: Prefers in-person collaboration in our NYC officePreferred QualificationsEarly stage startup experienceHands-on experience with accounting software (QuickBooks, Xero, NetSuite, Bill.com, Ramp, etc.)Who You AreStartup mindset: Excited about ambiguity and rapid growthAll-in: This is not a 9-5, we have a massive opportunity ahead of us and are looking to further accelerate our velocity. We are optimizing for the best folks and happy to compensate generouslyIn accordance with New York State regulations, the salary range for this position is $100,000–$300,000. This range represents our broad compensation philosophy and covers various responsibility and experience levels. Additionally, all employees are eligible to participate in our equity plan and benefits program. We are committed to meritocratic and competitive compensation.

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About YuppWe are a well-funded, rapidly growing, early-stage AI startup headquartered in Silicon Valley that is building a two-sided product -- one side meant for global consumers and the other side for AI builders and researchers. We work on the cutting edge of AI across the stack. Check out our product that was launched recently, and how it solves the foundational challenge of robust and trustworthy AI model evaluations. Here's more information about us.Why Join Yupp?Are you ready to have the ride of a lifetime together with some of the smartest and most seasoned colleagues? You’ll work on challenging, large-scale problems at the cutting edge of AI to build novel products that touch millions of users globally, in a massive and growing market opportunity.Yupp’s founding team is highly experienced and comes from companies like Twitter, Google, Coinbase, Microsoft and Paypal. This team is one of the smartest, most fun, cracked top talent you will ever work with. Our work culture provides a high degree of autonomy, ownership and impact. It’s intense and isn’t for everyone. But if you want to build the future of AI alongside others who are at the top of their game and expect the same from you, there’s no better AI startup to be.At Yupp, you will experience both the excitement of building for a large scale global user base as well as for the deeply technical audience of AI model builders and researchers. You’ll get immersed in and learn all about the latest and greatest AI models and agents. You’ll interact with AI builders and researchers from other AI labs all around the world.We are a mostly in-person startup, but we are also flexible – you can usually work from home when you need to and come in and leave when you want to. Many employees work from home on average 1 day a week.Job SummaryWe’re seeking an experienced Director of Operations to help Yupp scale with excellence. The ideal candidate will have senior management experience in a fast growing high tech startup. The role requires outstanding organizational, communication, and leadership skills and an ability to develop robust solutions that help the company run smoothly. You will work closely with leadership to strategize and develop long-term plans that usher in new levels of productivity and success for the company.ResponsibilitiesDevelop, implement, and monitor day-to-day operational systems and processes.Implement operational infrastructure and streamline internal workflows.Analyze current operational processes and performance, recommending solutions for improvement where necessary.Collaborate with leaders in the development of performance goals and long-term operational plans.Set strategic goals for operational efficiency and increased productivity.Plan, monitor, and analyze key metrics for day-to-day operations to ensure efficient and timely completion of tasks.Devise strategies for ensuring the growth of programs enterprise-wide, and implement process improvements to maximize output and minimize costs.Adhere to the company’s policies and standards, and ensure that laws and regulations are being followed.Qualifications10+ years in operations role in tech, with 5+ in leadership roles.Bachelor’s degreeBroad knowledge of multiple operational functions and principles, including finance, legal, HR, recruiting and employee management.Proven ability to plan and manage operational processes for maximum efficiency and productivity.Masterful organizational, communication, and leadership skills, backed by previous professional success.Ability to streamline or implement structures and roles that boost speed and efficiency while supporting rapidly shifting business demands.Strong execution skills, exemplary stakeholder management, excellent communicator.Strong negotiation skills, exceptional attention to detail, a mindset of getting things done reliably and quickly.Preferred QualificationsMBA (or equivalent)3+ years experience in Strategy Consulting.Strong curiosity in AI.Prior experience scaling operations in startup environments.

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About YuppWe are a well-funded, rapidly growing, early-stage AI startup headquartered in Silicon Valley that is building a two-sided product -- one side meant for global consumers and the other side for AI builders and researchers. We work on the cutting edge of AI across the stack. Check out our product that was launched recently, and how it solves the foundational challenge of robust and trustworthy AI model evaluations. Here's more information about us.Why Join Yupp?Are you ready to have the ride of a lifetime together with some of the smartest and most seasoned colleagues? You’ll work on challenging, large-scale problems at the cutting edge of AI to build novel products that touch millions of users globally, in a massive and growing market opportunity.Yupp’s founding team is highly experienced and comes from companies like Twitter, Google, Coinbase, Microsoft and Paypal. This team is one of the smartest, most fun, cracked top talent you will ever work with. Our work culture provides a high degree of autonomy, ownership and impact. It’s intense and isn’t for everyone. But if you want to build the future of AI alongside others who are at the top of their game and expect the same from you, there’s no better AI startup to be.At Yupp, you will experience both the excitement of building for a large scale global user base as well as for the deeply technical audience of AI model builders and researchers. You’ll get immersed in and learn all about the latest and greatest AI models and agents. You’ll interact with AI builders and researchers from other AI labs all around the world.We are a mostly in-person startup, but we are also flexible – you can usually work from home when you need to and come in and leave when you want to. Many employees work from home on average 1 day a week.Job SummaryAs the Strategic Partnerships & Business Development Lead, you'll lead Yupp's business growth and expansion by forging powerful partnerships across leading AI model providers, enterprises, and key industry players. You will shape Yupp's outward-facing strategy, driving go-to-market execution, expansive distribution, and significant revenue through our innovative two-sided AI product.​​ResponsibilitiesDesign and execute a high‑impact business‑development strategy that fuels user growth, monetization, and scale.Scout and secure strategic partnerships with top AI labs and enterprises.Negotiate and structure deals that deliver win‑win outcomes.Track, measure, and iterate on collaborations, driving deeper integration across Yupp’s multi‑product stack.Build and maintain rapport with key decision‑makers, translating product offerings into compelling narratives.Partner with Product to launch new revenue streams, crafting go‑to‑market plans that resonate with users and stakeholders.Keep the team ahead of industry trends, ensuring seamless partnership implementation.Qualifications10+ years of proven success in business development or partnerships.Strategic, adaptable thinker thriving in fast‑paced startup environmentsBachelor’s degree required (MBA or advanced degree a plus).Mastery of the AI model ecosystem, including partnerships with AI data or model companies.Comfortable collaborating across Product, Engineering, Ops, Marketing, and Finance.Skilled negotiator capable of structuring complex deals and partnership agreements.Sharp judgment in prioritizing high‑impact opportunities.Exceptional communication internally and externally.Passionate about cutting‑edge AI models and agents, with a track record of closing high‑value deals.Energetic, self‑motivated, ready to scale responsibilities and grow with the company.

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OverviewMaincode is building sovereign AI models in Australia. We are training foundation models from scratch, designing new reasoning architectures, and deploying them on state-of-the-art GPU clusters. Our models are built on datasets we create ourselves, curated, cleaned, and engineered for performance at scale. This is not buying off-the-shelf corpora or scraping without thought. This is building world-class datasets from the ground up.As a Senior Data Engineer, you will lead the design and construction of these datasets. You will work hands-on to source, clean, transform, and structure massive amounts of raw data into training-ready form. You will design the architecture that powers data ingestion, validation, and storage for multi-terabyte to petabyte-scale AI training. You will collaborate with AI Researchers and Engineers to ensure every byte is high quality, relevant, and optimised for training cutting-edge large language models and other architectures.This is a deep technical role. You will be writing code, building pipelines, defining schemas, and debugging unusual data edge cases at scale. You will think like both a data scientist and a systems engineer, designing for correctness, scalability, and future proofing. If you want to build the datasets that power sovereign AI from first principles, this is your team. What you’ll doDesign and build large-scale data ingestion and curation pipelines for AI training datasetsSource, filter, and process diverse data types including text, structured data, code, and multimodal, from raw form to model-ready formatImplement robust quality control and validation systems to ensure dataset integrity, relevance, and ethical complianceArchitect storage and retrieval systems optimised for distributed training at scaleBuild tooling to track dataset lineage, reproducibility, and metadata at all stages of the pipelineWork closely with AI Researchers to align datasets with evolving model architectures and training objectivesCollaborate with DevOps and ML engineers to integrate data systems into large-scale training workflowsContinuously improve ingestion speed, preprocessing efficiency, and data freshness for iterative training cycles Who you arePassionate about building world-class datasets for AI training from raw source to training-readyExperienced in Python and data engineering frameworks such as Apache Spark, Ray, or DaskSkilled in working with distributed data storage and processing systems such as S3, HDFS, or cloud object storageStrong understanding of data quality, validation, and reproducibility in large-scale ML workflowsFamiliar with ML frameworks like PyTorch or JAX, and how data pipelines interact with themComfortable working with multi-terabyte or larger datasetsHands-on and pragmatic, you like solving real data problems with code and automationMotivated to help build sovereign AI capability in Australia Why MaincodeWe are a small team building some of the most advanced AI systems in Australia. We create new foundation models from scratch, not just fine-tune existing ones, and we build the datasets they run on from the ground up.We operate our own GPU clusters, run large-scale training, and integrate research and engineering closely to push the frontier of what is possible.You will be surrounded by people who:Care deeply about data quality and architecture, not just volumeBuild systems that scale reliably and repeatablyTake pride in learning, experimenting, and shippingWant to help Australia build independent, world-class AI systems

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Why Casca?Casca is building AGI for banking. We’re replacing decades-old legacy systems with AI-native technology that automates 90% of the manual work humans once had to do. As our founding PM, you'll define and drive Casca's end-to-end product development. We're not just building features—we're creating an entirely new way for banks to operate. You'll collaborate directly with our business & engineering team to transform complex AI capabilities into elegant solutions that make legacy banking systems obsolete. This is a rare opportunity to shape a category-defining product at the intersection of AI and finance. What you'll do:Lead End-to-End Product DevelopmentOversee the product development lifecycle from concept to release, ensuring alignment with Casca’s strategic goals.Define clear product roadmaps based on stakeholder input and user feedback.Drive product development with subject matter experts and designer partners. Lead feature release management & user training materials. Product User ExperienceChampion user-centric design by ensuring products are intuitive, user-friendly, and meet the highest quality standards.Translate complex AI capabilities into simple, transparent user experiences that delight customers.Strategize & InnovateDrive the product vision and strategy by thinking outside the box to deliver AI-native solutions that set new industry standards.Continuously explore emerging technologies and industry trends to keep Casca ahead of the curve.Cross-Functional CollaborationPartner with engineering, design, marketing, and sales teams to deliver a best-in-class product experience.Facilitate effective communication and coordination across teams to ensure timely and successful product launches.What you'll bring:Experience: 4+ years of proven experience as a Product Manager or Product Lead in a fast-paced, tech-driven environment, preferably delivered customer-facing AI technology or financial service products. Technical background: Degree in Computer Science or experience as an engineer preferredAI & Financial Domain Knowledge: Familiarity with AI, machine learning, and/or financial services is highly desirable.Strategic Thinking: Demonstrated ability to think creatively, innovate, and challenge the status quo to develop unique, differentiated products.Cross-Functional Leadership: Excellent communication, collaboration, and influencing skills across diverse teams.Analytical Skills: Strong analytical and problem-solving abilities with a data-driven approach to decision-making.Adaptability: Ability to manage multiple priorities, pivot quickly, and thrive in a dynamic startup environment.What you'll get: Impact & Ownership: A unique opportunity to shape the future of banking through AI, owning end-to-end product initiatives.Collaborative Environment: Work alongside a talented and passionate team that values continuous improvement and knowledge sharing.Competitive Compensation: Includes salary, benefits, and potential equity in a fast-growing startup.Professional Growth: Access to resources and mentorship to expand your skill set, influence strategy, and accelerate your career.Culture of Innovation: We encourage risk-taking, learning from failures, and pushing the boundaries of what’s possible in fintech.As an early-stage company building at the frontier of AI, we work with high intensity and commitment. While schedules can vary by role/team, many weeks will demand extra focus, flexibility and time particularly during major launches and high impact sprints. We're seeking those who are aligned to and able to commit to that expectation which includes 5 days per week in our San Francisco Office.

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Notable is the leading healthcare AI platform for transforming workforce productivity. Health systems, hospitals, and payers use Notable to improve healthcare quality, close gaps in patient care, drive member enrollment, and patient acquisition, retention, and reimbursement, scaling growth without hiring more staff. We are on a mission to improve the lives of patients, staff, and clinicians - to improve healthcare for humanity. This isn't just a lofty goal - it's something we're achieving every single day. When you join Notable, you become part of a force actively transforming healthcare. Our aim to impact 100 million patients isn't just a number; it's a commitment to creating meaningful change on a massive scale. Therefore, our culture is purposeful in pursuit of this mission. We believe our culture gives each person the opportunity to do the best work of their lives, work with the best teammates, and have fun achieving great things together.Role Summary:At Notable, we believe integrations shouldn’t be a bottleneck — they should be invisible. As the Product Manager for our Connectors Engineering Pod, you’ll own the data backbone that powers Flow Builder, our orchestration engine, and the data stores that feed it. Your mission is to make it effortless for anyone to build automations on our platform — without being a data or integration expert — by delivering a unified data spine, first-class eventing, and resilient, real-time pipelines. The work you lead will turn complex interoperability challenges into simple, reliable building blocks for automation at scale.What You’ll DoSet the vision for how data flows through the Notable platform — from ingestion to orchestration to downstream systems.Lead the roadmap for connectors, eventing systems, and enablement tooling, shaping foundational capabilities that power all future automation.Work closely with engineering to evolve our backbone, using Medplum as our canonical FHIR store and Mirth Connect as our transport layer to handle high-volume, real-time healthcare data streams.Partner with Delivery teams to remove low-value ETL work from flows, enabling richer, context-driven automations with powerful new triggers and events.Build repeatable delivery paths and “integration starter packs” that dramatically shorten time to go-live for new customers.Harden architecture to retire brittle batch jobs and RPA scripts, replacing them with scalable, event-driven integrations.Advocate for interoperability best practices (HL7, FHIR, X12) while keeping our architecture flexible for future data formats.About You5+ years of product management experience, ideally with B2B or enterprise-scale platforms.Proven track record shipping data-intensive products like ETL pipelines, integration engines, orchestration platforms, or real-time event systems.Strong technical fluency — comfortable scoping complex data flows, event models, and transformations before engaging engineering.Excellent communicator, equally at home discussing architecture trade-offs or framing business value for leadership.Thrive in systems thinking, cross-functional collaboration, and fast-moving environments. Bonus PointsExperience with healthcare interoperability (HL7 v2.x, FHIR, X12) and enterprise healthcare technology.Background in data modeling, canonical schemas, or event sourcing.Prior engineering experience or a technical degree.Why This Role MattersData is the spine of our platform. Without it, Flow Builder can’t orchestrate, automations can’t run, and customers can’t realize value. In this role, you’ll be shaping that spine — turning raw, messy, high-volume healthcare data into a clean, reliable, event-driven foundation that accelerates delivery, unlocks new automations, and lets our customers build with confidence.Beware of job scam fraudsters! Our recruiters use @notablehealth.com email addresses exclusively. We do not conduct interviews via text or instant message and we do not ask candidates to download software other than Zoom, to purchase equipment through us, or to provide sensitive personally identifiable information such as bank account or social security numbers. If you have been contacted by someone claiming to be me from a different domain about a job offer, please report it as potential job fraud to law enforcement and contact us here.

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Ironclad is the leading AI-powered contract lifecycle management platform, processing billions of contracts every year. Every business is powered by contracts, but managing them can slow companies down and cost millions of dollars. Global innovators like L’Oréal, OpenAI, and Salesforce trust Ironclad to transform contracting into a strategic advantage - accelerating revenue, reducing risk, and driving efficiency. It’s the only platform that manages every type of contract workflow, whether a sales agreement, an HR agreement or a complex NDA. We’re building the future of intelligent contracting and writing the narrative for how contracts unlock strategic growth. Forrester Wave and Gartner Magic Quadrant have consistently recognized Ironclad as a leader in our category. We’ve also been named one of Fortune’s Great Places to Work six years running, featured on Glassdoor’s Best Places to Work, and recognized by Forbes’ 50 Most Promising AI Companies. We’re backed by leading investors like Accel, Sequoia, Y Combinator, and BOND. We’d love for you to join us! Solutions Engineers @ IroncladSolution Engineers (SEs) are Ironclad Sales Team’s pre-sale technical experts. SEs collaborate closely with prospects and Ironclad’s Sales, Implementation, and Product teams, forming a critical technical overlay to the sales and solution evaluation.At Ironclad, SEs are creative, value-driven technology experts that love to engage with people. They drive sales through clear communication focusing on customer use cases, technology infrastructure, and solution design. With a comprehensive understanding of Ironclad’s platform, SEs empower prospects to understand how Ironclad can work for them.SEs also help Ironclad improve our platform: the best SEs help capture the most challenging technical requirements observed in the market and translate them into actionable insights for Ironclad’s Product team to develop.Requirements, you must be:Mission-oriented: You’re excited to work on a team that operates at the intersection of human talent and software; you want to put that passion to work in an industry that still skews heavily towards human/manual work. You want to work at a place where you can have an outsized impact.Exceptional communicator: You’re a strong verbal communicator, able to capture an audience with clear and confident language. You can understand and empathize with people even if you have limited subject-matter knowledge of their area of expertise.Technically proficient: You’re an expert at technical configuration and familiar with or have an appetite for learning programming languages such as JSON, HTML and, ideally, JavaScript or similar languages. You recognize that your ability and willingness to develop these skills is an important part of what makes SEs successful in their role as Ironclad’s prospect-facing solution experts.Creative problem solver: You listen well and understand customers' needs. You think outside the box to solve their challenges and deliver a solution that will drive value for the customer.Team player: You can work effectively in teams of technical and non-technical individuals. You are energized by collaborating with diverse teams.Independent: You can learn and drive outcomes with minimal supervision. You have a bias toward action and gravitate towards environments where you have an outsized influence on the success of outcomes for customers and colleagues. You are exceptionally good at making trade-offs based on incomplete data.Experience: 3+ years of Solution Engineering experience. Experience in AI and LLM-based applications.Responsibilities:Listen to prospects' needs and goals. Listening is our #1 strength.Design, build and present custom demonstrations of the Ironclad platform using a prospect’s own contracts and workflows.Build strong relationships with prospects to help Ironclad’s most important and strategic prospects evaluate and ultimately select Ironclad.Collaborate with Account Executives and other internal partners to progress an evaluation forward smoothly.Bring actionable insights back to Ironclad’s Product Team to help us evolve our core product.Partner with your aligned Sales Leader to support pipeline generating activities and overall team success Benefits:Health, dental, and vision insurance401kWellness reimbursementTake what you need vacation policyGenerous parental leave for both primary and secondary caregiversOTE Range: $160,000 - $190,000The OTE range represents the minimum and maximum of the OTE range for this position based at our San Francisco headquarters. The OTE offered for this position will depend on numerous factors, including individual proficiency, anticipated performance, and the location of the selected candidate. Our OTE is just one component of Ironclad’s competitive total rewards package, which also includes equity awards (a new hire grant, along with opportunities for additional awards throughout your tenure), competitive health and wellness benefits, and a commitment to career growth and development. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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Worth AI, a leader in the computer software industry, is looking for a talented and experienced Principal Data Engineer to join their innovative team. At Worth AI, we are on a mission to revolutionize decision-making with the power of artificial intelligence while fostering an environment of collaboration, and adaptability, aiming to make a meaningful impact in the tech landscape.. Our team values include extreme ownership, one team and creating reaving fans both for our employees and customers.Worth is looking for a Principal Data Engineer to own the company-wide data architecture and platform. Design and scale reliable batch/streaming pipelines, institute data quality and governance, and enable analytics/ML with secure, cost-efficient systems. Partner with engineering, product, analytics, and security to turn business needs into durable data products.ResponsibilitiesWhat you will do: Architecture & Strategy Define end-to-end data architecture (lake/lakehouse/warehouse, batch/streaming, CDC, metadata). Set standards for schemas, contracts, orchestration, storage layers, and semantic/metrics models. Publish roadmaps, ADRs/RFCs, and “north star” target states; guide build vs. buy decisions. Platform & Pipelines Design and build scalable, observable ELT/ETL and event pipelines. Establish ingestion patterns (CDC, file, API, message bus) and schema-evolution policies. Provide self-service tooling for analysts/scientists (dbt, notebooks, catalogs, feature stores). Ensure workflow reliability (idempotency, retries, backfills, SLAs). Data Quality & Governance Define dataset SLAs/SLOs, freshness, lineage, and data certification tiers. Enforce contracts and validation tests; deploy anomaly detection and incident runbooks. Partner with governance on cataloging, PII handling, retention, and access policies. Reliability, Performance & Cost Lead capacity planning, partitioning/clustering, and query optimization. Introduce SRE-style practices for data (error budgets, postmortems). Drive FinOps for storage/compute; monitor and reduce cost per TB/query/job. Security & Compliance Implement encryption, tokenization, and row/column-level security; manage secrets and audits. Align with SOC 2 and privacy regulations (e.g., GDPR/CCPA; HIPAA if applicable). ML & Analytics Enablement Deliver versioned, documented datasets/features for BI and ML. Operationalize training/serving data flows, drift signals, and feature-store governance. Build and maintain the semantic layer and metrics consistency for experimentation/BI. Leadership & Collaboration Provide technical leadership across squads; mentor senior/staff engineers. Run design reviews and drive consensus on complex trade-offs. Translate business goals into data products with product/analytics leaders. Requirements 10+ years in data engineering (including 3+ years as staff/principal or equivalent scope). Proven leadership of company-wide data architecture and platform initiatives. Deep experience with at least one cloud (AWS) and a modern warehouse or lakehouse (e.g., Snowflake, Redshift, Databricks). Strong SQL and one programming language (Python or Scala/Java). Orchestration (Airflow/Dagster/Prefect), transformations (dbt or equivalent), and streaming (Kafka/Kinesis/PubSub). Data modeling (3NF, star, data vault) and semantic/metrics layers. Data quality testing, lineage, and observability in production environments. Security best practices: RBAC/ABAC, encryption, key management, auditability. Nice to Have Feature stores and ML data ops; experimentation frameworks. Cost optimization at scale; multi-tenant architectures. Governance tools (DataHub/Collibra/Alation), OpenLineage, and testing frameworks (Great Expectations/Deequ). Compliance exposure (SOC 2, GDPR/CCPA; HIPAA/PCI where relevant). Model features sourced from complex 3rd-party data (KYB/KYC, credit bureaus, fraud detection APIs) Benefits Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k, IRA) Life Insurance Unlimited Paid Time Off 9 paid Holidays Family Leave Work From Home Free Food & Snacks (Access to Industrious Co-working Membership!) Wellness Resources