AI Product & Operation Jobs

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About WisprWispr Flow is making it as effortless to interact with your devices as talking to a close friend. Voice is the most natural, powerful way to communicate — and we’re building the interfaces to make that a reality.Today, Wispr Flow is the first voice dictation platform people use more than their keyboards — because it understands you perfectly on the first try. It’s context-aware, personalized, and works anywhere you can type, on desktop or phone.Dictation is just our first act. We’re building the interaction layer for your computer — a system that’s capable, understands you, and earns your trust. It will start by writing for you, then move to taking actions, and ultimately anticipate your needs before you ask.We’re a team of AI researchers, designers, growth experts, and engineers rethinking human-computer interaction from the ground up. We value high-agency teammates who communicate openly, obsess over users, and sweat the details. We thrive on spirited debate, truth-seeking, and real-world impact.This year, we've grown our revenue 50% month-over-month and with our latest $30M Series A, this is just the beginning.About the RoleAs VP engineering at Wispr, you’ll direct the engineering team in building the first capable, habit forming voice interface that scales to a billion users. You will help scale the product engineering, mobile, backend, and ML engineering teams from 10 to 100 people. Members of our technical staff are responsible for prototyping and designing new features of our voice interface, building infrastructure to handle <500ms LLM inference for millions of requests from everywhere around the world, and scaling the personalization of our speech models and LLMs.What are we looking for?Experience building and scaling teams from 20 to 100 peopleCultural alignment with Wispr: high agency, open communicator, detail oriented, and user obsessedCan build a culture that’s thoughtful, aggressive, innovative on the eng teamAble to increase the velocity and predictable delivery of an engineering teamProduct minded for a prosumer interfaceFluency in Typescript, React, and PythonAptitude and clarity of thoughtCreativity, excellence in engineering, and code velocityWe consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.

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About ClarionAt Clarion, we're rebuilding how healthcare communicates in the age of AI. Today, clinics miss 30-40% of patient calls while staff drowns in administrative tasks. We believe AI agents should handle these workflows—scheduling, billing, prescription refills—so healthcare teams can focus on actual patient care.We're building the communication infrastructure that modern healthcare desperately needs. Our AI agents don't just answer calls; they complete entire workflows end-to-end, giving providers back their time and ensuring patients never go unheard. We've already handled hundreds of thousands of patient interactions across virtual care companies, health systems, and a $5B health insurance company.Founded by a Stanford/Harvard-trained physician who was on the founding team of Two Chairs and Ophelia, and an ex-Amazon Alexa engineer who led AI/ML teams at Salesforce, we uniquely understand both the clinical and technical challenges of transforming healthcare communication.We've raised $5.4M from Accel, Y Combinator, Sequoia (scout), and healthcare founders from Ophelia, Medallion, and Counsel Health. We're an in-person team based in New York, moving fast to ensure no patient call goes unanswered.Why Join Us?Early-stage with strong market validation: We are rapidly growing and offering the high-impact environment of an early-stage startupSolving a massive healthcare challenge: We're addressing a critical problem in healthcare communication that affects millions of patientsCutting-edge tech frontier: You'll design both visual and voice experiences for breakthrough AI technology that's transforming healthcare communicationIn-person collaboration advantage: We've built in-person since day one and maintain this as a strategic advantage—we move faster, build stronger bonds, and create a cohesive cultureWhat you'll be working onOwn our entire design language: Define Clarion's brand identity across all touchpoints—from marketing website to product interfaces to sales materials—ensuring we stand out in healthcareDesign AI voice experiences that feel human: Craft conversation flows, dialogue scripts, and interaction patterns that make our AI agents sound natural, empathetic, and trustworthy to patientsCreate intuitive product interfaces: Build dashboards and tools that make complex AI capabilities feel simple for overwhelmed healthcare teamsBridge the visual and auditory: Design cohesive experiences where what customers see perfectly complements what patients hear during AI conversationsBuild our design system from scratch: Establish visual guidelines, component libraries, and voice interaction patterns that scale as we growShip brand experiences at startup speed: Create everything from pitch decks to product demos to conference materials that make healthcare buyers stop and pay attentionRequirements3+ years of design experience: Portfolio showing both brand and product design work, with ability to create cohesive experiences across mediumsFull-stack designer: Comfortable moving from brand strategy to UI design to copywriting within the same daySystems thinker: Can create scalable design frameworks for both visual and conversational interfacesFigma fluent: Expert-level proficiency in design tools, with ability to create everything from logos to prototypesIn-person collaboration: Excited to work from our NYC office dailyYou are a good fit ifYou believe great design spans all senses—what people see, hear, and feel when interacting with a productYou're fascinated by making AI conversations feel natural and human, not robotic or scriptedYou can write copy that sounds like a compassionate healthcare worker, not a tech companyYou want to own both how Clarion looks and how it sounds to millions of patientsYou're excited to define a brand that stands out in the sea of sterile healthcare techYou measure success by both user delight and business impactInteresting Design ChallengesMake AI feel human: Design voice scripts and interfaces that help patients trust they're getting real help, not talking to a robotSmooth handoffs between AI and staff: Create seamless transitions when a conversation needs to move from AI to a human without confusing or frustrating the patientSimplify complex healthcare workflows: Turn chaotic medical processes into clean, intuitive designs that busy staff can use without trainingShow conversations clearly: Design dashboards that help staff quickly understand what happened in AI-patient calls and spot important issuesGive staff the right amount of control: Build systems that let healthcare teams oversee AI agents without creating extra work or slowing things downConnect what's heard with what's seen: Make sure the AI's voice conversations match perfectly with what staff see on their screensWhat we offerDirect mentorship: Work closely with our founding team and shape both product and brand direction from day oneMeaningful equity: Early employee stock options with significant ownership potentialComprehensive benefits: 100% covered healthcare, flexible time off, commuter benefits, daily team lunchesTeam culture: Quarterly retreats and monthly team events that build real connections in our close-knit NYC teamImpact at scale: Your designs—both visual and voice—will directly improve healthcare access for millionsInterview ProcessWe'll get back to you within 24 hours after each step:First Chat (20 min) [Virtual]: Quick conversation about your design philosophy and experience in complex product spacesPortfolio Review (45 min) [Virtual]: Walk us through 2-3 projects that showcase your design process from research to shipped productDesign Exercise (Take-home): Tackle a real challenge we're facing around AI-patient communication interfacesTeam Day (Half-day) [In-Person]: Visit our NYC office for a collaborative design session, meet the team, and see how we work togetherIf you're ready to transform how millions of patients connect with their healthcare providers, we'd love to hear from you.

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AI Researcher Job DescriptionAt AGI Inc., we're not just redefining AI-human interaction—we're creating a world where humans and AI amplify each other's potential. Leveraging breakthrough agentic reasoning capabilities, we aim to bring genuinely useful AGI into everyday life. Backed by years of research, AGI Inc. is pioneering the large-scale deployment of intelligent Consumer AI Agents that simplify, streamline, and elevate everyday experiences.Our team comprises elite ex-entrepreneurs, AI researchers, and product experts from Stanford, Berkeley, Nvidia, and DeepMind, supported by top investors in Silicon Valley. Our founder, Div Garg, is a Stanford AI PhD dropout and previously founded MultiOn, a leading AI Agent startup that introduced browser agents to the world, supported by General Catalyst, Forerunner, Samsung, and Amazon.At AGI Inc., we believe in fusing human insight with cutting-edge AI to craft experiences that are as intuitive as they are groundbreaking, paving the way toward everyday AGI. Our agentic products feel like a natural extension of who you are—an ever-present partner for ideas, projects, and solutions.About the RoleAs an AI Researcher at AGI Inc., you'll be at the forefront of developing novel algorithms and techniques for our browser-based intelligent agents. You'll bridge the gap between theoretical AI research and practical product applications, working on challenges that push the boundaries of what browser agents can accomplish. Your research will directly influence our product roadmap and contribute to the scientific community through publications and open-source contributions. This role offers a unique opportunity to work in an environment that values both academic rigor and real-world impact.Key ResponsibilitiesPioneer Novel Research: Lead research initiatives in areas such as reinforcement learning, multi-agent systems, and natural language understanding to enhance our browser agents' capabilities.Translate Research to Products: Work closely with engineering and product teams to implement research findings into products that deliver tangible value to users.Contribute to the Scientific Community: Publish high-quality research papers at top AI conferences (NeurIPS, ICML, ICLR, ACL) and participate in the open-source AI ecosystem.Develop Technical Roadmaps: Help define our technical research strategy, identifying promising areas that align with our product vision.Mentor and Collaborate: Work with and mentor other researchers and engineers, fostering a culture of scientific excellence and innovation.QualificationsEducation: MS or PhD in Computer Science, Machine Learning, AI, or a related technical field from a top university. Exceptional candidates with bachelor's degrees and equivalent research experience will also be considered.Research Experience: Demonstrated research experience in machine learning, NLP, reinforcement learning, or multimodal systems, evidenced by publications, open-source contributions, or impactful projects.Technical Skills: Strong programming skills in Python and experience with deep learning frameworks (PyTorch, TensorFlow). Familiarity with large language models, web technologies, and browser automation is a plus.Problem-Solving: Exceptional analytical thinking and creativity in approaching complex AI problems with novel solutions.Communication: Ability to explain complex technical concepts clearly and collaborate effectively with cross-functional teams.Startup Mindset: Enthusiasm for fast-paced environments, comfort with ambiguity, and a desire to build products that millions of people will use.Why Join Us?Dual Impact: Contribute to cutting-edge AI research while seeing your work directly impact products used by real people.Resources: Access to substantial compute resources, large datasets, and the latest AI technologies to support your research.Autonomy: Freedom to pursue research directions aligned with our mission, with less bureaucracy than traditional research labs.Equity: Competitive compensation package with significant equity, aligning your success with the company's growth.Community: Work alongside world-class researchers, engineers, and designers who are passionate about advancing the field of AI.How to ApplyWe'd love to see what you've built. Please include your resume, links to your publications or GitHub repositories, and a brief research statement outlining your interests and how they align with our mission.We can't wait to see your contributions to AI—and to welcome you to the AGI Inc. team!

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Join Our Mission to Revolutionize Healthcare Smarter Technologies is redefining how healthcare organizations leverage automation and AI to improve efficiency, compliance, and patient outcomes. Our advanced AI-powered Revenue Cycle Automation platform enables providers to streamline and enhance their core business operations. We're looking for an exceptional Compliance and Risk Manager to lead our enterprise-wide compliance and risk management programs. As the Compliance and Risk Manager at Smarter Technologies, you will develop, implement, and oversee a comprehensive compliance program that ensures adherence to HIPAA, HITRUST, SOC 2, NIST, ISO 27001, and other relevant regulations and frameworks. This is a senior leadership role responsible for driving risk mitigation strategies, guiding cross-functional teams on compliance best practices, and ensuring we maintain the trust of our customers, partners, and regulators. As our Compliance and Risk Manager, you will lead with visionary insight at the nexus of compliance, risk, and cutting-edge AI in healthcare. You'll craft governance frameworks that harmonize innovation with ethical accountability, mastering challenges like PHI protection in AI-driven environments. By pioneering transparent, bias-free algorithms and robust data privacy practices, you'll surpass regulatory standards while fueling business growth. Proactively shaping our response to emerging AI governance trends, you'll establish Smarter Technologies as a beacon of trust in responsible AI adoption. Your strategic leadership will redefine compliance as a dynamic catalyst, building stakeholder confidence and accelerating innovation in a highly regulated landscape. Key Responsibilities Design and lead a dynamic, company-wide compliance program aligned with HIPAA, HITRUST, SOC 2, NIST, ISO 27001, and emerging AI governance standards, ensuring ethical and innovative PHI management. Conduct comprehensive risk assessments, mitigating compliance, operational, and AI-specific risks like bias, explainability, and PHI re-identification, in line with HIPAA and HHS AI guidelines. Oversee internal and external audits, driving timely remediation and maintaining audit readiness with minimal findings. Develop and harmonize policies, procedures, and controls across business units, embedding AI ethics and de-identification protocols to prevent ePHI exposure in AI-driven processes. Act as the primary liaison with regulators, auditors, and assessors, fostering trust and alignment on compliance priorities. Guide and train teams on compliance best practices, emphasizing AI governance and AMA Principles for Augmented Intelligence. Report compliance status, risks, and metrics to senior leadership and the board, translating complex requirements into strategic insights. Proactively adapt programs to evolving laws, regulations, and industry standards, positioning compliance as a competitive advantage. What Success Looks Like A compliance program exceeding HIPAA, HITRUST, SOC 2, NIST, ISO 27001, and AI governance standards, driving innovation while securing PHI. Unified compliance practices across all business units, enforcing AI ethics and PHI de-identification to ensure trust and efficiency. Audit readiness with zero material findings, delivering immediate remediation in a high-growth startup environment. Cross-functional alignment that embeds compliance in AI-driven solutions, enabling rapid scalability. A culture where compliance accelerates innovation, establishing the startup as a leader in trusted healthcare technology. Minimum Qualifications 10+ years of experience in compliance, risk management, or information security, with a focus on regulated environments Proven experience building and leading compliance programs that align with HIPAA, HITRUST, SOC 2, NIST, and ISO 27001 Strong track record managing internal and external audits Experience collaborating with regulators and third-party auditors Excellent written and verbal communication skills with the ability to translate complex regulations into clear operational requirements Strong leadership and influencing skills, with experience driving change across diverse teams Bachelor's degree in law, business administration, information security, or a related field; advanced degree or relevant certifications (CCEP, CISA, CISM, CISSP) preferred Bonus Points Led compliance in high-growth healthcare or tech startups, securing AI and PHI operations. Built compliance into DevOps, cloud, and AI platforms, delivering secure, scalable systems. Mastered AI governance and healthcare tech regulations Why Smarter Technologies? Competitive compensation Equity participation: Employee Stock Options Health benefits: Comprehensive medical, dental, and vision insurance Time off: Generous leave policies and paid company holidays California Salary Range $180,000—$225,000 USD

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About Glean: Founded in 2019, Glean is an innovative AI-powered knowledge management platform designed to help organizations quickly find, organize, and share information across their teams. By integrating seamlessly with tools like Google Drive, Slack, and Microsoft Teams, Glean ensures employees can access the right knowledge at the right time, boosting productivity and collaboration. The company’s cutting-edge AI technology simplifies knowledge discovery, making it faster and more efficient for teams to leverage their collective intelligence. Glean was born from Founder & CEO Arvind Jain’s deep understanding of the challenges employees face in finding and understanding information at work. Seeing firsthand how fragmented knowledge and sprawling SaaS tools made it difficult to stay productive, he set out to build a better way - an AI-powered enterprise search platform that helps people quickly and intuitively access the information they need. Since then, Glean has evolved into the leading Work AI platform, combining enterprise-grade search, an AI assistant, and powerful application- and agent-building capabilities to fundamentally redefine how employees work.About the Role: Glean is looking for creative engineers to own and launch delightful user facing features. In a rapidly growing startup, this entails developing ideas with product managers and designers to best balance engineering constraints with requirements, delivering intuitive experiences that run in modern mobile and desktop browsers. You will: Oversee the entirety of your greenfield features from inception to implementation, experimentation, launch and beyond Revolutionize the current experience by incorporating AI into the product Provide leadership and mentor more junior engineers Work with designers, product managers, data scientists, and other engineers to understand our problem space and create elegant solutions Architect REST APIs that are backed by stable, scalable server side implementations and maximize web client flexibility for rapidly meeting evolving product requirements Write robust code that’s efficient, easy to read, maintain and test About You: 5+ years of experience in product engineering with 2 years as a TL/M BA/BS in computer science, or related degree Experience of building and shipping scalable features across frontend and backend Thrive in a customer-focused, tight-knit and cross-functional environment A proactive and positive attitude to lead, learn, troubleshoot and take ownership of both small tasks and large features A user-centric and empathetic mentality for building products Experience on a consumer grade web app frontend, preferably React based Love authoring easy-to-hold and future-proof REST APIs, OpenAPI is a plus Experience building distributed CRUD level functionality, ideally both SQL and NoSQL Comfortable in or desire to master Golang, Java and TypeScript Location: This role is hybrid (3 days a week in one of our Bay Area offices) Compensation & Benefits: The standard base salary range for this position is $140,000 - $265,000 annually. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits. We offer a comprehensive benefits package including competitive compensation, Medical, Vision, and Dental coverage, generous time-off policy, and the opportunity to contribute to your 401k plan to support your long-term goals. When you join, you'll receive a home office improvement stipend, as well as an annual education and wellness stipends to support your growth and wellbeing. We foster a vibrant company culture through regular events, and provide healthy lunches daily to keep you fueled and focused. We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We're committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race. #LI-HYBRID

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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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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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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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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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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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About FirsthandFirsthand has built the first AI-powered Brand Agent platform, transforming the way marketers and publishers engage consumers through their own AI agents, anywhere online.While most AI applications in marketing and advertising focus on back-office automation, the Firsthand Brand Agent Platform™ powers front-line consumer engagement. Operating across both owned properties and paid media, Firsthand's Brand Agents make a company’s expertise accessible in real time, adapting to consumers’ interests and guiding them towards the information they need to take action. Central to the platform is Lakebed™, the company’s AI-first data and knowledge rights management system that ensures brands retain full ownership and control of their expertise.Firsthand is led by Jon Heller, Michael Rubenstein, and Wei Wei, whose previous ventures helped build the foundations of modern digital advertising. Backed by Radical Ventures, FirstMark Capital, Aperiam Ventures, and Crossbeam Venture Partners, Firsthand is shaping the future of AI-driven consumer engagement.Firsthand is headquartered in NYC, with team members working together in-office three days a week.Firsthand is looking to hire a Senior Director, Marketer Sales to drive adoption of Brand Agents with senior marketers at the world’s leading brands.In this pivotal role, you'll educate, evangelize, and drive adoption of a transformative new marketing model: “agents, not ads.” You’ll lead strategic sales to brand-side marketing executives, serve as a consultative partner across innovation and media teams, and help fully commercialize Firsthand’s marketer offering. You'll also collaborate across Firsthand’s buyside motions, supporting publisher campaigns and identifying strategic agency partnerships.You are a seasoned commercial leader with a strong grasp of marketing, media, and technology. You bring experience in ad networks or programmatic, the ability to navigate complex organizations, and the entrepreneurial mindset to shape the offering as you sell it. You're comfortable engaging both business and technical stakeholders and thrive in early-stage environments where the path isn't fully paved.The ideal candidate will be located in the New York metropolitan area. Key ResponsibilitiesLead strategic marketer engagements: Act as the point person for existing marketer-direct relationships, advancing relationships and identifying opportunities to deepen impact.Drive the direct-to-marketer motion: Engage CMOs, Heads of Innovation, and digital marketing leaders to position Brand Agents as a strategic lever for long-term brand and consumer engagement.Develop the marketer offering: Help define and operationalize Firsthand’s holistic offering for marketers, contributing to early commercialization strategy, vertical prioritization, product feedback, and business model development (pricing, contracts, implementation).Lead strategic pitches: Own and lead marketer-focused pitches to build the 2026 pipeline.Collaborate across publisher and agency motions: Partner with internal teams to identify leverage points across publisher demand and emerging agency relationships.Run a disciplined pipeline: Forecast accurately, manage multi-stakeholder deals with rigor, and close high-value opportunities.Act as a strategic partner: Provide structured insights to product and leadership teams to inform positioning, vertical strategy, and GTM readiness.Qualifications10+ years of sales experience, ideally across martech, adtech, or mediaTrack record of success selling to brand-side marketers at large, matrixed organizationsExperience working in or closely with ad networks and programmatic platforms; understanding of agency dynamics a plusAbility to engage both technical and marketing stakeholders, including product, data, and legal counterpartsComfortable in early-stage, pioneering environments; you know how to shape a product while selling itStrategic, scrappy, and adaptive, with strong communication skills and executive presenceEntrepreneurial mindset: excited to help build and refine the offering—not just run the playbookHow to ApplyIf you are ready to embark on an exhilarating journey at the forefront of AI, seize this incredible opportunity and apply here. We eagerly anticipate hearing from you!Note: Compensation and equity will be market-competitive for well-capitalized, early stage startups and will be discussed during the interview process.

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Who We Are PathAI is on a mission to improve patient outcomes with AI-powered pathology. We are transforming traditional pathology methods into powerful, new technologies. These innovations in pathology can help accelerate drug development, improve confidence in the accuracy of diagnosis, and get life-saving therapies to patients more quickly. At PathAI, you'll work with a diverse and talented team of people, who are dedicated to solving complex problems and making a huge impact. Where You Fit  We're looking for a technical product manager to join our team and help support the execution of PathAI’s product roadmap. The AI Product Manager will work closely with machine learning, pathology, biomedical data science, clinical affairs, quality, regulatory, and business operations teams to ensure that product development goals are being met for successful delivery of a product. The successful candidate will be able to identify, build, and champion AI products in key strategic areas for PathAI.   This role offers the opportunity to help define the product strategy of a fast growing, dynamic business. What You’ll Do Contribute to the development of the roadmap for PathAI algorithm products within a key business unit or disease area, and own the execution of assigned initiatives. Collaborate with stakeholders to gather requirements, define priorities, and align on product direction. Support the development of business cases for new products, product extensions, or platform capabilities. Partner cross-functionally with product designers, engineers, and scientists to deliver high-quality solutions that meet user needs. Monitor product performance, gather feedback, and contribute to continuous improvement initiatives. What You Bring  3+ years experience in product management (preferably bioinformatics, machine learning, or data science). Launch experience with algorithm-based products in life sciences and/or healthcare. Advanced degree in computational biology, biomedical engineering, biology, or related field preferred Experience contributing to the launch of AI-driven or software-based products. Strong collaboration skills and ability to work with cross-functional teams across technical and scientific domains. Curiosity and willingness to learn about oncology, pathology, and AI-powered products. We Want To Hear From You At PathAI, we are looking for individuals who are team players, are willing to do the work no matter how big or small it may be, and who are passionate about everything they do. If this sounds like you, even if you may not match the job description to a tee, we encourage you to apply. You could be exactly what we're looking for.  PathAI is an equal opportunity employer, dedicated to creating a workplace that is free of harassment and discrimination. We base our employment decisions on business needs, job requirements, and qualifications — that's all. We do not discriminate based on race, gender, religion, health, personal beliefs, age, family or parental status, or any other status. We don't tolerate any kind of discrimination or bias, and we are looking for teammates who feel the same way. 

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About Anyscale: At Anyscale, we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray, a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI, Uber, Spotify, Instacart, Cruise, and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world. With Anyscale, we’re building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert. Proud to be backed by Andreessen Horowitz, NEA, and Addition with $250+ million raised to date. About the roleAs a Member of Technical Staff, Field Eng at Anyscale, you will be the technical face of our company and biggest advocate for our customers. You’ll work closely with sales, product management, and engineering to ensure that our product has the right experiences and shape to drive value in customer engagements.  The ideal candidate will be a scrappy executor, able to work independently, and lead complex POVs with our users as they adopt Anyscale and Ray. You’ll be on point for demoing our product, scoping POVs, making users successful, and amplifying the voice of our customers. Expect to learn a ton about Ray, Anyscale, and early stage product go-to-market! You’ll be fundamental in helping us disrupt what it means to build distributed applications at scale.  Our product is inherently technical, so we’re looking for folks that know how to communicate about technical products with multiple audiences – whether it’s the C-suite or an individual engineer.As part of this role, you'll be involved inBuilding awesome product demos, tutorials, reference architectures, and blogs demonstrating the strong capabilities of the Anyscale platformKnowing Ray from end-to-end and educating customers on how to use RayWorking with customers as they build applications on RayKnowing the ML landscape and toolsets that are at the forefront of cutting edge techWorking cross-functionally to be the voice of our customers and delivering impactful solutions alongside our product and engineering teams Working directly with customers at every layer of their organization (C Suite to data scientists and developers) and acting as a trusted advisor for our usersHelping us identify potential improvements and gaps in our product and prioritizing features through the development processEfficiently managing stakeholders to ensure that we stay focused on our key objective and metrics in the sales processDriving crisp communication about our products and services, both internally and externallyWorking alongside marketing and Go-to-Market to create and deliver high quality content to evangelize Anyscale and RayWe'd love to hear from you if you have5+ years of pre- and post-sales experience, either as a sales engineer, solutions engineer, architect, customer success engineer/manager, or a consultantStrong technical skills. You should have working knowledge of Python fundamentals, as well as the ability to learn Ray and build Ray applications with various librariesExperience in enterprise SaaS, infrastructure, open source, and/or ML/AI technologiesExperience in public cloud and enterprise infrastructureCustomer success orientation. You are able to demonstrate technical concepts to technical and non-technical audiences, build value with end users, and drive solutions over the lineCross-functional collaboration with technical stakeholders, including Engineering and ProductCompensation:At Anyscale, we take a market-based approach to compensation. We are data-driven, transparent, and consistent.  As the market data changes over time, the target salary for this role may be adjusted. This role is also eligible to participate in Anyscale's Equity and Benefits offerings, including the following:Stock OptionsHealthcare plans, with premiums covered by Anyscale at 99% for both employees and dependents401k Retirement PlanEducation & Wellbeing StipendPaid Parental LeaveFertility BenefitsPaid Time OffCommute reimbursement100% of in-office meals coveredAnyscale Inc. is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law.  Anyscale Inc. is an E-Verify company and you may review the Notice of E-Verify Participation and the Right to Work posters in English and Spanish

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About Us Observe.AI enables enterprises to transform how they connect with customers - through AI agents and copilots that engage, assist, and act across every channel. From automating conversations to guiding human agents in real time to uncovering insights that shape strategy, Observe.AI turns every interaction into a driver of loyalty and growth. Trusted by global leaders, we’re creating a future where every customer experience is smarter, faster, and more impactful. Why Join Us The future of customer engagement is AI-driven, with conversational automation representing a $300B market opportunity. While traditional NLP/NLU-powered solutions have fallen short, Observe.AI is leading the revolution with state-of-the-art LLM-powered Conversational AI technology. Backed by 7 years of experience and insights from 300+ customers, we’re perfectly positioned to disrupt the space and unlock massive value for enterprises worldwide. We are seeking an Implementation Manager who will be responsible for project managing, facilitating stakeholder design workshops, building out customer use-cases discovered during onboarding, and delivering virtual/onsite software training to trainer and end-user audiences. The implementation manager will work with new customers to stand up their Observe.AI programs and existing customers to expand their capabilities with the Observe.AI product suite. This role will need to quickly learn and adapt the customer's business objectives into a successful onboarding process from sales handoff to CSM transition. The ideal candidate applies their SaaS experience to driving implementation projects to completion, engaging key stakeholders to build a strong program foundation, and communicating technical and functional concepts in a clear concise manner. As a key member of our core team, you’ll play a pivotal role in implementing and launching cutting-edge Conversational AI products. You’ll work at the forefront of AI innovation, helping to build solutions that will transform how global enterprises adopt and scale AI—delivering real-time customer assistance, smarter automation, and seamless interactions. This is your chance to join an industry leader as we drive the future of Conversational AI and empower enterprises to reach new levels of efficiency and customer satisfaction. What you’ll be doing Lead a customer program team through a multi-phase implementation involving business discovery, technical setup, and user training Guide and enable customers on their contact center AI journey with our software Deliver tailored customer training sessions across a variety of formats (e.g. live, recorded, virtual, in-person, train-the-trainer, end-user) Manage client expectations, project timelines, documentation deliverables, and team resources Partner with CSMs to create value-based adoption goals that set the Customer up for a successful launch Communicate project status, issues, and risks while escalating effectively as appropriate Manage multiple customer projects simultaneously Collaborate cross-functionally with Sales, Product, Marketing, and Customer Success to improve services delivery and customer experience What you'll bring to the role 5+ years of work experience implementing SaaS software Comfort in user-centered communications and facilitating technical problem solving Basic understanding of speech analytics and quality management software and processes Experience in a customer-facing role with clear deliverables and stakeholder management Proficiency in coaching and facilitation skills Training experience is highly preferred Demonstrable analytical, problem-solving, and time management skills Experience in the Software & Platform industry Experience managing complex customer implementations Perks & Benefits Competitive compensation including equity Excellent medical, dental, and vision insurance options Flexible time off  10 Company holidays + Winter Break and up to 16-weeks of parental leave 401K plan Quarterly Lifestyle Spend Monthly Mobile + Internet Stipend Pre-tax Commuter Benefits Salary Range The base salary compensation range targeted for this full-time position is $100,000 - $135,000 per annum. Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives and equity (in the form of options). This salary range is an estimate, and the actual salary may vary based on the Company’s compensation practices. Our Commitment to Inclusion and Belonging Observe.AI is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. Observe AI does not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender identity, sexual orientation, disability, age, military or veteran status, or any other basis protected by applicable local, state, or federal laws or prohibited by Company policy. Observe.AI also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. We welcome all people. We celebrate diversity of all kinds and are committed to creating an inclusive culture built on a foundation of respect for all individuals. We seek to hire, develop, and retain talented people from all backgrounds. Individuals from non-traditional backgrounds, historically marginalized or underrepresented groups are strongly encouraged to apply. If you are ambitious, make an impact wherever you go, and you're ready to shape the future of Observe.AI, we encourage you to apply. For more information, visit www.observe.ai. #LI-REMOTE

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About Faculty At Faculty, we transform organisational performance through safe, impactful and human-centric AI. With more than a decade of experience, we provide over 350 global customers with software, bespoke AI consultancy, and Fellows from our award winning Fellowship programme. Our expert team brings together leaders from across government, academia and global tech giants to solve the biggest challenges in applied AI. Should you join us, you’ll have the chance to work with, and learn from, some of the brilliant minds who are bringing Frontier AI to the frontlines of the world.We operate a hybrid way of working, meaning that you'll split your time across client location, Faculty's Old Street office and working from home depending on the needs of the project. For this role, you can expect to be client-side for up-to three days per week at times and working either from home or our Old street office for the rest of your time. What You'll Be DoingWorking in our Defence business unit You will design, build, and deploy production-grade software, infrastructure, and MLOps systems that leverage machine learning. The work you do will help our customers solve a broad range of high-impact problems in the defence and national security space - examples of which can be found hereYou are engineering-focused, with a keen interest and working knowledge of operationalised machine learning. You have a desire to take cutting-edge ML applications into the real world. You will develop new methodologies and champion best practices for managing AI systems deployed at scale, with regard to technical, ethical and practical requirements. You will support both technical and non-technical stakeholders to deploy ML to solve real-world problems. To enable this, we work in cross-functional teams with representation from commercial, data science, product management and design specialities to cover all aspects of AI product delivery.The Machine Learning Engineering team is responsible for the engineering aspects of our customer delivery projects. As a Machine Learning Engineer, you’ll be essential to helping us achieve that goal by:Building software and infrastructure that leverages Machine Learning;Creating reusable, scalable tools to enable better delivery of ML systemsWorking with our customers to help understand their needsWorking with data scientists and engineers to develop best practices and new technologies; andImplementing and developing Faculty’s view on what it means to operationalise ML software.We’re a rapidly growing organisation, so roles are dynamic and subject to change. Your role will evolve alongside business needs, but you can expect your key responsibilities to include: Working in cross-functional teams of engineers, data scientists, designers and managers to deliver technically sophisticated, high-impact systems.Leading on the scope and design of projectsOffering leadership and management to more junior engineers on the team Providing technical expertise to our customersTechnical DeliveryWho We're Looking ForAt Faculty, your attitude and behaviour are just as important as your technical skill. We look for individuals who can support our values, foster our culture, and deliver for our organisation.We like people who combine expertise and ambition with optimism -- who are interested in changing the world for the better -- and have the drive and intelligence to make it happen. If you’re the right candidate for us, you probably:Think scientifically, even if you’re not a scientist - you test assumptions, seek evidence and are always looking for opportunities to improve the way we do things.Love finding new ways to solve old problems - when it comes to your work and professional development, you don’t believe in ‘good enough’. You always seek new ways to solve old challenges.Are pragmatic and outcome-focused - you know how to balance the big picture with the little details and know a great idea is useless if it can’t be executed in the real world.To succeed in this role, you’ll need the following - these are illustrative requirements and we don’t expect all applicants to have experience in everything (70% is a rough guide):Understanding of and interest in the full machine learning lifecycle, including deploying trained machine learning models developed using common frameworks such as Scikit-learn, TensorFlow, or PyTorchUnderstanding of the core concepts of probability and statistics and familiarity with common supervised and unsupervised learning techniquesExperience in Software Engineering including programming in Python.Technical experience of cloud architecture, security, deployment, and open-source tools. Hands-on experience required of at least one major cloud platformDemonstrable experience with containers and specifically Docker and KubernetesComfortable in a high-growth startup environment.Outstanding verbal and written communication.Excitement about working in a dynamic role with the autonomy and freedom you need to take ownership of problems and see them through to executionWhat we can offer you: The Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day. Faculty is the professional challenge of a lifetime. You’ll be surrounded by an impressive group of brilliant minds working to achieve our collective goals. Our consultants, product developers, business development specialists, operations professionals and more all bring something unique to Faculty, and you’ll learn something new from everyone you meet.

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At Parallel Web Systems, we are bringing a new web to life: it’s built with, by, and for AIs. Our work spans innovations across crawling, indexing, ranking, retrieval, and reasoning systems. Our first product is a set of APIs for AIs to do more with web data. We are a fully in-person team based in Palo Alto, CA. Our organization is flat; our team is small and talent dense.We want to talk to you if you are someone who can bring us closer to living our aspirational values:Own customer impact - It’s on us to ensure real-world outcomes for our customers.Obsess over craft - Perfect every detail because quality compounds.Accelerate change - Ship fast, adapt faster, and move frontier ideas into production.Create win-wins - Creatively turn trade-offs into upside.Make high-conviction bets - Try and fail. But succeed an unfair amount.Job: You will build, operate, and scale our infrastructure, including our infrastructure around large language models, and ensure that our systems are reliable and cost-efficient as we grow. You will anticipate bottlenecks before they appear, ensure that our architecture evolves to meet increasing demands, and build the tools and systems that keep engineering velocity high.You: Have deep intuition on distributed systems, cloud platforms, performance tuning, and scalable architecture. You like to reason about trade-offs between cost, reliability, and speed of iteration. You care about your work enabling every team to build faster and ship confidently, and about infrastructure that can support products used by millions without breaking a sweat.Our founder is Parag Agrawal. Previously, he was the CEO and CTO at Twitter. Our investors include First Round Capital, Index Ventures, Khosla Ventures, and many others.

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About DecagonDecagon is the leading conversational AI platform empowering every brand to deliver concierge customer experience. Our AI agents provide intelligent, human-like responses across chat, email, and voice, resolving millions of customer inquiries across every language and at any time.Since coming out of stealth, Decagon has experienced rapid growth. We partner with industry leaders like Hertz, Eventbrite, Duolingo, Oura, Bilt, Curology, and Samsara to redefine customer experience at scale. We've raised over $200M from Bain Capital Ventures, Accel, a16z, BOND Capital, A*, Elad Gil, and notable angels such as the founders of Box, Airtable, Rippling, Okta, Lattice, and Klaviyo.We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values—customers are everything, relentless momentum, winner’s mindset, and stronger together—shape how we work and grow as a team.About the TeamOver the past few years, development of LLMs has evolved at a rapid pace. It’s not enough for our customers to just “set it and forget it” when it comes to AI software. Truly successful AI Agents require guidance and input throughout the development lifecycle.The Agent Product Management team drives this journey as Decagon’s in-house experts on building, deploying, and scaling AI agents. Agent PMs work directly with customers to bring their AI agents to life, and then grow each Agent into a core part of each company’s businesses. As one of our early APM’s, you will deploy our technology into some of the world’s most influential businesses, driving real world business impact as one part Product Manager, one part AI expert.The APM owns each step in the AI Agent build lifecycle. This can include:Collaborating with engineering to design a new product featureWriting and testing prompt logic for a specific customer use caseWorking with a customer’s executive team to define their AI roadmapYou’ll partner closely with every team at Decagon: Go-To-Market, Design, Engineering, and across our leadership team. You will own and drive your customer builds and help shape the overall product roadmap by being the voice of the customer.About the RoleWe’re looking for a Strategic APM that thrives in a highly autonomous environment. You’re product-minded, scrappy, can drive highly complex projects across cross-functional teams, and are comfortable building relationships with some of the largest brands in the world.Given their size, these strategic accounts often present the challenge of complexity, requiring the navigation of customer stakeholders across org charts. A successful Strat APM will be able to navigate this complexity seamlessly and develop deep, trusted relationships with key stakeholders at all levels of the customer organization (comfortable speaking to CX leaders, Product Leaders, and Operations Leaders).APMs at Decagon own their own portfolio of agents from end-to-end and are trusted to make real impact. You’ll have the opportunity to dive deep into complex business problems, build elegant solutions and then scale them out to millions users, all while being part of the founding Strat APM team. This role is ideal for future founders, general managers, and business unit leaders.In this role, you willBuild, Design and optimize Enterprise-quality AI agents in collaboration with Decagon’s most strategic customers — understanding their workflows, pain points, and goals.Embed deeply within strategic customers to understand their business challenges and serve as a strategic advisor to their AI roadmapRun tight feedback loops into Engineering — influence feature development based on real customer needs.Represent Decagon externally — working closely with customers and prospects, participating in key deployments.Collaborate closely with Decagon’s C-suite and other executives to continue building the playbook for strategic logos for DecagonYour background looks something like thisHave 8+ years of relevant experience. This includes but is not limited to:Senior manager or equivalent at a top-tier consulting or other professional services firmPartner at an investing firmSenior product leader or group product managerDeep technical acumen — able to understand and shape AI agent designs.Strong communication and relationship-building skills.Comfort working in fast-moving, ambiguous environments where you shape solutions as much as you implement them.Even betterA Computer Science, Engineering, or Math degree — or equivalent technical experience.An MBABenefitsMedical, dental, and vision benefitsTake what you need vacation policyDaily lunches, dinners and snacks in the office to keep you at your bestCompensation$240K – $285K + Offers Equity