AI Software Engineer Jobs

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The Opportunity AI is rapidly transforming the world. Whether it’s developing the next generation of human-level intelligence, enhancing voice assistants, or enabling researchers to analyze genetic markers at scale, AI is increasingly integrated into various aspects of our daily lives. Arize AI is the leading AI observability and evaluation platform, empowering AI engineers to build and deploy high-performing, reliable models. As the AI landscape shifts from traditional ML to generative AI and agentic systems, Arize ensures teams have the tools to monitor, troubleshoot, and improve AI in production. As an AI Solutions Manager, you’ll partner with some of the most innovative AI/ML teams in the world. You’ll play a pivotal role in driving adoption, shaping product use cases, and ensuring our customers succeed in leveraging AI to achieve real-world impact. This role offers a unique chance to grow alongside a leading AI company and gain deep insights into cutting-edge AI/ML applications. The Team Our engineering team builds systems that interact with some of the most complex software ever deployed in production. The team is composed of industry veterans that have built deep learning infrastructure, autonomous drones, ridesharing marketplaces, ad tech and much more.  As an AI Solutions Manager, your work will directly contribute to our customers’ success in deploying impactful AI solutions, ensuring their models achieve measurable business outcomes. We are looking for a fast-paced, client-obsessed candidate with an entrepreneurial mindset to nurture, and grow our customers. You’ll be working with Arize customers to help them improve the AI they use across their organizations. You will be in charge of driving customer adoption and managing customers through their renewal cycles. You’ll accomplish this by running an effective account plan, identifying expansion opportunities with new teams, and building solutions to help achieve their goals. You’ll be involved in exciting and complex customer use cases and leverage your business acumen to navigate the intricacies. What You’ll Do Build and deepen relationships with AI/ML users to foster adoption, uncover new use cases, and drive expanded usage across customer accounts. This includes regular touchpoints like weekly/bi-weekly calls and ongoing account management. Conduct discovery with customers to understand their goals, share the Arize vision, demonstrate product capabilities, and propose tailored solutions. Collaborate with technical teams, including Customer Success Engineering, to address complex customer needs, ensure smooth implementation, and advise on technical best practices. Run workshops and training sessions with customers during onboarding and new functionality Run QBRs to demonstrate account value, identify areas of opportunity, and strengthen customer partnerships. Proactively monitor product usage across your accounts to further gauge account health Work closely with Account Management and Executive teams to identify upsell opportunities and align on customer health strategies. Effectively relay customer feature requests to internal teams and advocate for customer needs. Ensure support teams are aligned with customer requests and priorities. What We’re Looking For 3+ years of experience as a Customer Success Manager in SaaS. A self-starter mindset with the ability to thrive in limited process environments. Exceptional organizational skills with the ability to prioritize and manage multiple customer relationships effectively. Strong communication skills for articulating observations and fostering collaboration across teams. Proven ability to demo technical products and translate their value into tailored customer solutions. Thrives in fast-paced environments with a customer-first mindset and a focus on delivering measurable results. A strong team player who values collaboration and collective success. Bonus: Familiarity with AI/ML workflows or GenAI technologies. The estimated annual salary and variable compensation for this role is between $100,000 to $150,000, plus a competitive equity package. Actual compensation is determined based upon a variety of job related factors that may include: transferable work experience, skill sets, and qualifications. Total compensation also includes a comprehensive benefit package, including: medical, dental, vision, 401(k) plan, unlimited paid time off, generous parental leave plan, and others for mental and wellness support. While we are a remote-first company, we have opened offices in New York City and the San Francisco Bay Area, as an option for those in those cities who wish to work in-person. For all other employees, there is a WFH monthly stipend to pay for co-working spaces.  More About Arize Arize’s mission is to make the world’s AI work and work for the people. Our founders came together through a common frustration: investments in AI are growing rapidly across businesses and organizations of all types, yet it is incredibly difficult to understand why a machine learning model behaves the way it does after it is deployed into the real world. Learn more about Arize in an interview with our founders: https://www.forbes.com/sites/frederickdaso/2020/09/01/arize-ai-helps-us-understand-how-ai-works/#322488d7753c   Diversity & Inclusion @ Arize Our company's mission is to make AI work and make AI work for the people, we hope to make an impact in bias industry-wide and that's a big motivator for people who work here. We actively hope that individuals contribute to a good culture Regularly have chats with industry experts, researchers, and ethicists across the ecosystem to advance the use of responsible AI Culturally conscious events such as LGBTQ trivia during pride month We have an active Lady Arizers subgroup

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We are looking for a technically adept Customer Success Manager to bolster our team and ensure the robust health, dependability, and progressive advancement of our platform ecosystem. You will collaborate with external users of our platform, and our internal team of machine learning scientists, protein engineers, and biologists. This role entails comprehensive ownership across the partner-facing aspects of our platform, driving adoption of new features, optimising performance for partner integrations, and developing roadmaps for internal feature development.Who we are:At Latent Labs, we are building frontier models that learn the fundamentals of biology. We pursue ambitious goals with curiosity and are committed to scientific excellence. Before building Latent Labs, our team co-developed DeepMind’s Nobel-prize winning AlphaFold, invented latent diffusion, and built pioneering lab data management systems as well as high throughput protein screening platforms. At Latent Labs you will be working with some of the brightest minds in generative AI and biology.Our team is committed to interdisciplinary exchange, continuous learning and collaboration. Team offsites help us foster a culture of trust across our London and San Francisco sites.We’re looking for innovators passionate about tackling complex challenges and maximizing positive global impact. Join us on our moonshot mission.Who You Are:You have a strong understanding of SaaS platforms and the ability to troubleshoot customer issues.You hold a bachelors degree or above in CS, engineering, ML or biology OR equivalent industry experience in a technical roleYou hold excellent written and verbal communication skills to effectively communicate technical and biological concepts to partners.You are a natural relationship builder, building and maintaining strong relationships with partners, and to work effectively with cross-functional teams.You are strong with analysing data, identifying trends, and developing strategies for improving partner performance, such as triaging feature requests and contributing to internal product roadmaps.You have the ability to adapt to changing partner needs and to learn new technologies quickly. What Sets You Apart:You have a background in biology and a keen understanding of AI solutions for life sciences and pharmaYour Responsibilities:Partner Onboarding and Adoption: Guiding partners through the initial stages of using the technology solution, ensuring they understand how to integrate it effectively and achieve desired outcomes.Technical Support and Troubleshooting: Responding to partner inquiries, addressing technical issues, and escalating complex problems to the appropriate internal teams.Product Development: Collect user feedback and triage feature requests, working with our internal team to develop roadmaps for future releases.,Configuration and Optimization: Helping partners configure and optimise their use of our platform to maximise its value.Relationship Management: Building and maintaining strong relationships with partners, acting as a trusted advisor and ensuring their needs are met.Performance Monitoring and Reporting: Tracking partner adoption rates, identifying areas for improvement, and reporting on key performance indicators (KPIs).Driving Business Growth: Working with partners to identify opportunities for growth and expansion, and to increase the overall value of the partnership.Training and Documentation: Creating and delivering training materials and documentation to ensure partners are well-equipped to use the technology solution effectively.You represent Latent Labs at key industry events spanning AI, biotechnology, and pharmaceuticals, including conferences and forums. Actively engage with prominent thought leaders to maintain a strong understanding of the evolving landscape of AI-driven drug discovery.Foster connections within the wider AI and biotech ecosystems, establishing Latent Labs as a respected voice in the field. Build a community by developing and nurturing relationships with academic researchers, AI experts, and other significant figures in the drug discovery sector.Apply:We offer strongly competitive compensation and benefits packages, including:Private health insurancePension/401(K) contributionsGenerous leave policies (including gender neutral parental leave)Hybrid workingTravel opportunities and moreWe also offer a stimulating work environment, and the opportunity to shape the future of synthetic biology through the application of breakthrough generative models.We welcome applicants from all backgrounds and we are committed to building a team that represents a variety of backgrounds, perspectives, and skills.

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About Woebot HealthWe’re a mission-driven startup reinventing the way people find peace and inspiration through dazzling digital experiences. Our team blends engineering, design, and product minds with a shared passion for building human-centered technology. Using the latest advances in language models, real-time interactions, and conversational design, we’re creating a next-generation digital companion that helps people feel seen, supported, and empowered - wherever they are, whenever they need it. With backing from top-tier investors and a bold vision for the future, we’re moving fast, learning constantly, and designing for real-world impact at scale.We believe the future of generative AI lies not in novelty, but in precision, nuance, and emotional resonance. If you’re driven by solving hard problems in applied AI and want to shape systems that genuinely serve people, we’d love to meet you.Why Join Us?Our company was founded by Alison Darcy, a clinical research psychologist and digital health entrepreneur. Among our earliest and most strategic backers is AI pioneer Andrew Ng, founder of AI Fund and deeplearning.ai. Backed by top-tier investors and powered by a hands-on team of passionate creators, we’re turning bold ideas into transformative digital care. This role will report to and collaborate closely with our founder, shaping the architecture and capabilities of our AI companion from the ground up. Joining our small but mighty core team means making an outsized and immediate impact on people’s wellness.The RoleOur LeadAI Engineer will help architect and evolve the “cognitive engine” of our platform. This role sits at the intersection of model tuning, inference optimization, and intelligent orchestration, focused on building adaptive systems that can shift modes fluidly depending on user needs.You’ll partner closely with our psychology, product, and infrastructure teams to:Lead fine-tuning of foundational models using efficient training techniques and custom datasetsDesign and implement model orchestration logic that determines when to retrieve, route, generate, or escalate across different conversational contextsBuild and iterate on eval frameworks for long-form, multi-turn interactions - prioritizing emotional coherence and user outcomes over token accuracyStay on top of rapid developments in LLMs, fine-tuning frameworks, and inference efficiency, translating that knowledge into actionChampion best practices for scaling training workflows, experimenting safely, and continuously learning from real-world feedbackWhile the company currently operates in a remote environment, we aspire to build a hybrid presence in the Bay Area, which may require relocation down the line. While we may prioritize talent based in the Bay Area, we are open to hiring top talent anywhere in the US.What You’ll DoAs a LeadAI Engineer, you will be responsible for architecting, optimizing, and evolving the “cognitive engine” of our AI companion. Your work will combine deep model training expertise with real-world experimentation, striking a balance between precision, nuance, and adaptability. You’ll collaborate across AI, product, and design to translate emotional and behavioral intent into reliable, scalable machine intelligence, and help define our technical roadmap in collaboration with the founder & engineering team.You will:Prompt Engineering & OptimizationDesign, iterate, and evaluate prompt strategies for complex multi-turn interactions using frameworks like DSPyBuild prompt libraries and A/B test variants to optimize for safety, clarity, and on-brand responsivenessLeverage prompt engineering as a short-term strategy where fine-tuning is not yet appropriate, with a clear view on trade-offAgentic Reasoning & OrchestrationEvaluate and integrate modular orchestration strategies (e.g., LangGraph, LlamaIndex, Letta, PydanticAI), forming a perspective on their relevance and scalabilityDesign systems that can switch between reflection, coaching, or directive states based on context, using either routing logic or learned behaviorCollaborate with the product team to define how tools, memory, and reasoning modules interact without overcomplicating the user experienceModel Fine-Tuning & OptimizationOwn parameter-efficient fine-tuning pipelines (e.g., LoRA, QLoRA) to adapt foundational models to brand-specific voice, tone, and emotional rangeCurate high-quality datasets and design eval metrics tailored to coherence, empathy, and state consistency across sessionsExplore model compression, quantization, and inference optimization for low-latency voice and mobile interactionsExperimental Thinking & EvaluationDesign lightweight experiments to validate technical approaches and measure outcomes beyond accuracy (e.g., trust, emotional congruence)Partner with domain experts to implement human-in-the-loop annotation systems where automation falls shortShip prototypes and production features rapidly, with a build-learn-refine approachWhat We’re Looking ForDeep Technical Fluency5+ years in AI/ML engineering, with at least 2 years of hands-on fine-tuning large language modelsDemonstrated expertise in applied AI within early-stage startups or product teams - you can speak to the lived experience of leading teams and projects through rapid growth and production.Strong understanding of the trade-offs between fine-tuning, tool invocation, prompt orchestration, and hybrid approachesProficiency with model training workflows, scalable data pipelines, and LLM evaluation techniquesPractical experience with low-latency inference environments and model optimization strategies (quantization, compression, routing logic)Comfortable in Python and modern ML tooling; experienced deploying models to production environmentsProduct-Oriented ThinkerAbility to translate product or psychological intent into model architecture or training strategyPrior work in behavioral health, mental wellness or adjacent domains, demonstrating sensitivity to emotionally resonant interactions.Experimental mindset with a bias toward measurable learning and iterative improvementStrong communicator who can explain the “why” behind the “how” to technical and non-technical partners alikeDemonstrated curiosity for emerging methods and a track record of staying current on deep learning advancementsCollaborative, Bold & HumbleTeam-first engineer who values listening as much as leading, who can mentor engineers in best practices while staying open to feedbackComfortable with challenging ideas while seeking the best solution, not creditMotivated by impact and aligned to our mission of building AI that helps peopleAdaptable to small-team dynamics and comfortable operating as the technical leader in a flat team structure, collaborating closely with product & engineering teams.Bonus if You HaveExperience at AI-first companiesExperience building products in the behavioral health or digital wellness space.Knowledge of conversational state management, memory systems, or emotional alignment in LLMsExposure to orchestrated AI frameworks or modular agentic architecturesWhat We OfferCompensation: $180,000 - $225,000 base + equityBenefits: Medical, dental, and vision for you and your family Time Off: Flexible PTO and mental wellness supportLearning Stipend: Annual budget for courses, conferences, or certificationsRemote Support: One-time home office setup stipendSecurity: Company-sponsored life and disability insurance + 401(k)We are committed to fostering an inclusive and equitable workplace. Compensation decisions are based on a variety of factors, including location, skills, experience, and various market benchmarks.

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About usAt Sierra, we’re creating a platform to help businesses build better, more human customer experiences with AI. We are primarily an in-person company based in San Francisco, with growing offices in Atlanta, New York, and London.We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and Family. These values are the foundation of our work, and we are committed to upholding them in everything we do.Our co-founders are Bret Taylor and Clay Bavor. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. What you'll do:Drive the operational framework to build with and support our customers: As a foundational member of our Technical Program Manager function at Sierra, you will be responsible for partnering with our Agent Development Product Managers and Agent Engineers to scope, build, and ship AI agents that handle thousands of customer conversations a day.In this role, you will engage with all levels of our customers’ businesses and internal partners to:Drive execution and delivery of multiple complex, high-visibility agent development projects.Coordinate across technical and non-technical stakeholders through the full agent development lifecycle process.Co-own project planning process including creating and prioritizing roadmaps, aligning milestones and expected outcomes, and identifying and mitigating risks.Ensure clear communication across all stakeholders while developing strong relationships.Contribute data-driven, strategic insights to project and internal team decisions.Collaborate with internal cross-functional teams to share out periodic updates about our customers.What you'll bring:Project Management Skills: Deep experience leveraging project management methodologies and tools to masterfully orchestrate projects from planning to delivery, ensuring on-time completion.Outstanding Communication Skills: Excellent verbal and written communication skills to convey complex technical information to non-technical stakeholders, fostering collaboration and driving projects forward with clarity.Technical Expertise: Strong understanding of software development, product management and engineering principles, enabling you to act as a strategic partner to customers and internal teams as we turn visionary ideas into agents.Problem-Solving and Analytical Skills: Strong analytical and critical thinking skills to grasp complex concepts, and to identify risks and issues, develop mitigation strategies, and handle unexpected challenges across customer relationships and products.Leadership and Team Management: Proven ability to manage multiple projects simultaneously, leading and inspiring teams to deliver innovative ideas and exceptional agents.Organizational Systems: Experience implementing and using project management applications like Height, Asana, Notion, Atlassian or others.Our valuesTrust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it.Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve.Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time.Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements.What we offerWe want our benefits to reflect our values and offer the following to full-time employees:Flexible (Unlimited) Paid Time OffMedical, Dental, and Vision benefits for you and your familyLife Insurance and Disability BenefitsRetirement Plan (e.g., 401K, pension) with Sierra matchParental LeaveFertility and family building benefits through CarrotLunch, as well as delicious snacks and coffee to keep you energized Discretionary Benefit Stipend giving people the ability to spend where it matters mostFree alphorn lessonsThese benefits are further detailed in Sierra's policies and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies.Be you, with usWe're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

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Why you should join usTandem is a generational opportunity to rethink how we bring new therapies to market, and our path to doing so is significantly de-risked – we have:Exponential organic growth: We have product-market fit and are growing rapidly through word-of-mouth. Tandem supports thousands of patients every day, is doubling doctor users every quarter, and is working with the largest biopharma companies in the world.An AI-first business model: Our approach is distinctly enabled by AI, but our business will get stronger (not commoditized) as foundation models improve. We are building durability through two-sided network effects that will compound over time.Top tier investors: With the traction to support conviction in our model, we raised significant funding from investors (including Thrive Capital, General Catalyst, Bain Capital Ventures, and Pear VC) to build an exceptional team of engineers and operators.Our number one priority is scaling to market demand. We are looking for individuals who are high horsepower, high throughput, and hyper resourceful to help us increase capacity and grow. We move fast and need to move faster.All full-time roles are in person in New York. You can learn more about working with us in the last section of this page.About the roleTandem’s Life Sciences team partners with the world’s leading biopharma companies to get more patients on therapy faster—leveraging real-time data, AI, and operational rigor to unblock access and demonstrate impact. We work at the intersection of strategy, operations, and client engagement to drive outcomes that matter and make our partners wildly successful.As a Life Sciences Strategy Lead, you will own the post-sale success, growth, and long-term impact of our most important biopharma relationships. These are multi-brand, multi-year partnerships that sit at the center of our business and require a mix of structured problem-solving, cross-functional leadership, and executive communication. You’ll launch new programs, lead internal and client-facing teams, build scalable systems, and serve as a trusted thought partner to clients and colleagues alike.This is a high-autonomy, high-responsibility role. You’ll be expected to act like an owner and help shape Tandem’s future. If you’re low-ego, hungry to learn, and energized by fast-paced, high-impact work, we’d love to hear from you.If you join, you will:Own the post-sale success of strategic biopharma accounts—including onboarding, pilot execution, performance tracking, and client reportingAct as Tandem’s day-to-day lead across multiple client teams — including commercial, field, access, and data stakeholdersCollaborate closely with our product, engineering, data, and delivery teams to coordinate execution and ensure consistent impact for clientsDrive retention and expansion within accounts by delivering tangible outcomes, sharing insights, and building trust across functionsDesign scalable processes for managing multi-workstream accounts with 7–8 figure contract value and help build our client success function as we growExplore, evaluate, and execute on new opportunities for the company, including strategic partnerships and new products and servicesWork closely with the rest of our team and CEO to make business decisions as we balance speed of growth and long-term profitabilityWe’ll be most excited if you have:6–10 years in client strategy, delivery operations, partnerships, or customer success—ideally in complex, multi-stakeholder environmentsBackground in life sciences consulting, data platforms, digital health, or pharma-adjacent strategy rolesExecutive presence and fluency — able to engage senior leaders across functions and drive alignment in ambiguous environmentsComfort working with data and technical teams (at minimum the role requires learning SQL and low-code tools)Strong written and verbal communication that allows you to be an effective participant in both internal debates and external relationshipsTrack record of moving quickly, finding shortcuts, and going to unreasonable lengths to deliver on goalsHigh NPS with your former teammatesThis is a list of ideal qualifications for this position. If you don't meet every single one of them, you should still consider applying! We’re excited to work with people from underrepresented backgrounds, and we encourage people from all backgrounds to apply.Working with usTandem is based in New York, with our full team working out of a beautiful and spacious office in SoHo. We run as a high-trust environment with high autonomy, which requires that everyone is fully competent and operates in line with our principles:Commit to audacity. "Whether you think you can, or you think you can't – you're right.”Do the math. Be rigorous, assume nothing.Find the shortest path. Use hacks, favors, and backdoors. Only take a longer road on purpose.Spit it out. Be direct, invite critique, avoid equivocation – we want right answers.Be demanding and supportive. Expect excellence from everyone and offer help to achieve it.Do what it takes to be number 1. We work hard to make sure we win.We provide competitive compensation with meaningful equity (for full-time employees). Everyone who joins early will be a major contributor to our success, and we reflect this through ownership and pay.We also provide rich benefits to ensure you can focus on creating impact (for full-time employees):Fully covered medical, vision, and dental insurance.Memberships for One Medical, Talkspace, Teladoc, and Kindbody.Unlimited paid time off (PTO) and 16 weeks of parental leave.401K plan setup, FSA option, commuter benefits, and DashPass.Lunch at the office every day and Dinner at the office after 7 pm.Our salary ranges are based on paying competitively for our company’s size and industry, and are one part of the total compensation package that also includes equity, benefits, and other opportunities at Tandem (for full-time employees). Individual pay decisions are ultimately based on a number of factors, including qualifications for the role, experience level, skillset, geography, and balancing internal equity. Tandem is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.

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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 DeepgramOpportunity:We're looking for an expert (Senior/Staff-level) Platform Engineer to build and operate the hybrid infrastructure foundation for our advanced AI/ML research and product development. You'll architect, build, and run the platform spanning AWS and our bare metal data centers, empowering our teams to train and deploy complex models at scale. This role is focused on creating a robust, self-service environment using Kubernetes, AWS, and Infrastructure-as-Code (Terraform), and orchestrating high-demand GPU workloads using schedulers like Slurm.What You’ll DoArchitect and maintain our core computing platform using Kubernetes on AWS and on-premise, providing a stable, scalable environment for all applications and services.Develop and manage our entire infrastructure using Infrastructure-as-Code (IaC) principles with Terraform, ensuring our environments are reproducible, versioned, and automated.Design, build, and optimize our AI/ML job scheduling and orchestration systems, integrating Slurm with our Kubernetes clusters to efficiently manage GPU resources.Provision, manage, and maintain our on-premise bare metal server infrastructure for high-performance GPU computing.Implement and manage the platform's networking (CNI, service mesh) and storage (CSI, S3) solutions to support high-throughput, low-latency workloads across hybrid environments.Develop a comprehensive observability stack (monitoring, logging, tracing) to ensure platform health, and create automation for operational tasks, incident response, and performance tuning.Collaborate with AI researchers and ML engineers to understand their infrastructure needs and build the tools and workflows that accelerate their development cycle.Automate the life cycle of single-tenant, managed deploymentsYou’ll Love This Role If YouAre passionate about building platforms that empower developers and researchers.Enjoy creating elegant, automated solutions for complex infrastructure challenges in both cloud and data center environments.Thrive on optimizing hybrid infrastructure for performance, cost, and reliability.Are excited to work at the intersection of modern platform engineering and cutting-edge AI.Love to treat infrastructure as a product, continuously improving the developer experience.It’s Important To Us That You Have5+ years of experience in Platform Engineering, DevOps, or Site Reliability Engineering (SRE).Proven, hands-on experience building and managing production infrastructure with Terraform.Expert-level knowledge of Kubernetes architecture and operations in a large-scale environment.Experience with high-performance compute (HPC) job schedulers, specifically Slurm, for managing GPU-intensive AI workloads.Experience managing bare metal infrastructure, including server provisioning (e.g., PXE boot, MAAS), configuration, and lifecycle management.Strong scripting and automation skills (e.g., Python, Go, Bash).  It Would Be Great if You Had Experience with CI/CD systems (e.g., GitLab CI, Jenkins, ArgoCD) and building developer tooling.Familiarity with FinOps principles and cloud cost optimization strategies.Knowledge of Kubernetes networking (e.g., Calico, Cilium) and storage (e.g., Ceph, Rook) solutions.Experience in a multi-region or hybrid cloud environment.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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Join Our Mission to Revolutionize Healthcare Thoughtful is pioneering a new approach to automation for all healthcare providers! Our AI-powered Revenue Cycle Automation platform enables the healthcare industry to automate and improve its core business operations. We're looking for Staff Data Engineers to help scale and strengthen our data platform. Our data stack today consists of Aurora RDS, AWS Glue, Apache Iceberg, S3 (Parquet), Spark and Athena - supporting a range of use cases from operational reporting to downstream services. We’re looking to grow the team with engineers who can help improve performance, increase reliability, and expand the platform's capabilities as our data volume and complexity continue to grow. You’ll work closely with other engineers to evolve our existing pipelines, improve observability and data quality, and enable faster, more flexible access to data across the company. The platform is deployed on AWS using OpenTofu, and we’re looking for engineers who bring strong cloud infrastructure fundamentals alongside deep experience in data engineering. Your Role: Build: Develop and maintain data pipelines and transformations across the stack. Starting from ingesting transactional data into the data lakehouse to refining data up the medallion data architecture. Optimize: Tune performance, storage layout, and cost-efficiency across our data storage and query engines. Extend: Help design and implement new data ingestion patterns and improve platform observability and reliability. Collaborate: Partner with engineering, product, and operations teams to deliver well-structured, trustworthy data for diverse use cases. Contribute: Help establish and evolve best practices for our data infrastructure, from pipeline design to OpenTofu-managed resource provisioning. ​​Secure: Help design and implement a data governance strategy to secure our data lakehouse. Your Qualifications: 8-10+ years of experience building and maintaining data pipelines in production environments Strong knowledge of the data lakehouse ecosystem, with an emphasis on AWS data services - particularly Glue, S3, Athena/Trino/PrestoDB, and Aurora Proficiency in Python, Spark and Athena/Trino/PrestoDB for data transformation and orchestration Experience managing infrastructure with OpenTofu/Terraform or other Infrastructure-as-Code tools Solid understanding of data modeling, partitioning strategies, schema evolution, and performance tuning Comfortable working with cloud-native data pipelines and batch processing (streaming experience is a plus but not required) What Sets You Apart: Systems thinker - you understand the tradeoffs in data architecture and design for long-term stability and clarity Outcome-driven - you focus on building useful, maintainable systems that serve real business needs Strong collaborator - you're comfortable working across teams and surfacing data requirements early Practical and hands-on - able to dive into logs, schemas, and IAM policies when needed Thoughtful contributor - committed to improving code quality, developer experience, and documentation across the board Why Thoughtful? 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 $190,000—$250,000 USD

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About UsAt Hayden AI, we are on a mission to harness the power of computer vision to transform the way transit systems and other government agencies address real-world challenges.From bus lane and bus stop enforcement to transportation optimization technologies and beyond, our innovative mobile perception system empowers our clients to accelerate transit, enhance street safety, and drive toward a sustainable future.What the job involvesAs a member of the Hayden Software Engineering org you will help build our next generation product for enforcing School Bus Stop safety. This team is developing edge-based vehicle detection and tracking AI models. This is a C++ software engineering generalist role.  You will be delivering high quality C++ code that runs on edge devices.You will build and improve the accuracy of ML / CV models, including refining open-source models to solve Hayden-specific problems.Expect to collaborate with Product Management to translate customer needs to software solutions.Hayden is a startup. You will be working in an ambiguous, fast-paced environment.As Hayden begins an organizational scale-up phase, we need to build a rock-solid foundation. That means delivering well-designed and well-tested code that can be shared across the organization.ResponsibilitiesDeliver bullet-proof, rigorously tested C++ code.Iterate on our suite of real-time vehicle tracking and license plate reading systems.Refine and optimize cloud-side image and video processing.Deep dive into performance optimization, focusing on algorithms specifically for the Nvidia Jetson architecture.Enhance the infrastructure and tooling used for performance analysis, ensuring efficient development cycles.QualificationsBachelor's or Master's degree in Computer Science, Electrical Engineering, or a closely related field.Background in Machine Learning, Image Processing, Computer Vision, or a similar field.Minimum 2 years of industry experience.Strong programming proficiency in C++.Past experience collaborating with other software engineers. Hayden is beginning a scale-up process within the organization. We need people who can function in a larger organization. Ways to stand outIn-depth knowledge and experience with embedded systems development.Familiarity with CUDA/OpenCL programming and video processing pipelines.Proficiency with common ML tools (e.g., Spark, TensorFlow, PyTorch).Familiarity managing data processing and machine learning code via GitHub.Experience with iOS or Android mobile application development beyond UI.Experience with ROS or other robotics systems.

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Scale AI accelerates the development and deployment of frontier AI across industries and governments. In the public sector, our mission extends beyond technology—we drive AI transformation through trust-building, change enablement, and capacity development.  We’re building a new discipline focused on AI adoption, upskilling, and change management that empowers government partners to confidently deploy and scale AI solutions. The Enablement Program Lead is a core role in this vision, turning strategy into execution across national-level initiatives. As an Enablement Program Lead, you will be the operational anchor for upskilling and enablement across AI use cases. You’ll lead the rollout of onboarding kits, training cycles, and early adopter programs that help public sector teams activate and sustain AI solutions. You’ll collaborate cross-functionally with PMs, delivery teams, and government stakeholders to ensure that human enablement keeps pace with technical deployment with adoption as the end goal. This is a high-impact role for someone who thrives in dynamic environments, can navigate government complexity, and knows how to drive real change from the ground up. You will: Own enablement rollouts post-scoping—partner with PMs to deliver onboarding kits, pilot training cycles, and early adopter programs (EAPs). Coordinate learning material delivery across engagements, ensuring public sector teams are set up for successful adoption. Develop customer/end user success material including UX/UI feedback guides, surveys, analyse insights to be shared with the PM Establish and manage enablement hubs (e.g., shared drives), tracking training engagement and surfacing learning gaps. Drive storytelling and change narratives, helping stakeholders understand the “why” behind AI transformation. Track impact and iterate on enablement strategies using structured feedback and stakeholder insights. Ideally you'd have: 5+ years experience in program or project management, preferably in public sector transformation, digital adoption, or consulting. Proven ability to lead complex, multi-stakeholder rollouts, with a focus on government clients or highly regulated industries. Comfortable operating between strategic thinking and execution—you set direction and also get things done. Skilled in facilitation, change management, and stakeholder relationship-building. Familiar with behavioral change models, and how to translate them into field-ready interventions. Strong written and verbal communication skills in English, with fluency in Arabic considered a strong plus. Comfortable navigating ambiguity, complexity, and fast-paced execution. PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to make that happen faster across every industry, and our team is transforming how organizations build and deploy AI.  Our products power the world's most advanced LLMs, generative models, and computer vision models. We are trusted by generative AI companies such as OpenAI, Meta, and Microsoft, government agencies like the U.S. Army and U.S. Air Force, and enterprises including GM and Accenture. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.  We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision.  PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

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Ready to be a part of something big? Join our team at SoundHound AI, where AI innovation and real-world impact come together. We unite voice AI, generative AI, and conversational AI to deliver powerful AI solutions that reimagine how people interact with the products and services they rely on. Whether it’s voice-enabling vehicles, streamlining patient journeys, or enhancing customer service, our multilingual, omnichannel AI technology touches the lives of hundreds of millions of people around the world. As a Project Manager for Cognitive implementation, you will play a crucial role in overseeing the planning, execution, and delivery of projects related to the adoption and integration of Artificial Intelligence for IT Operations (Cognitive) within our organization. You will collaborate with cross-functional teams to ensure successful deployment and utilization of Cognitive solutions to enhance operational efficiency, optimize performance, and drive innovation. In this role, you will: Project Planning: Develop comprehensive project plans outlining scope, objectives, timelines, resources, and deliverables for Cognitive tool implementation projects. Stakeholder Management: Engage with stakeholders at various levels to gather requirements, communicate project progress, manage expectations, and address concerns effectively. Resource Allocation: Coordinate resources, both internal and external, to ensure alignment with project requirements and timelines. Risk Management: Identify potential risks and issues associated with Cognitive tool implementation projects, and develop mitigation strategies to minimize impact and ensure successful project delivery. Vendor Management: Collaborate with vendors and third-party service providers to evaluate, select, and implement Cognitive tools that best fit the organization's needs and requirements. Quality Assurance: Establish quality standards and protocols to ensure the successful deployment and functionality of Cognitive tools, conducting regular evaluations and reviews to maintain high standards of performance. Change Management: Facilitate organizational change by promoting awareness, providing training, and fostering adoption of Cognitive tools among end-users and stakeholders. Performance Monitoring: Monitor project progress, track key performance indicators (KPIs), and generate reports to evaluate project success and identify areas for improvement. Documentation: Maintain accurate project documentation, including project plans, meeting minutes, status reports, and other relevant artifacts. Continuous Improvement: Drive continuous improvement initiatives by capturing lessons learned from previous projects, implementing best practices, and incorporating feedback to enhance project management processes and methodologies. We would love to hear from you if: You have a Bachelor’s degree in computer science, Information Technology, Business Administration, or related field. Master’s degree or PMP and similar certification is a plus. You have proven experience of 10+years in project management, specifically in the implementation of Cognitive or IT operations management tools. You have strong understanding of Cognitive concepts, including machine learning, data analytics, and automation, with the ability to translate technical concepts into business solutions. You have excellent communication skills, with the ability to effectively interact with diverse stakeholders, including technical teams, business leaders, and vendors. You have demonstrated ability to manage multiple projects simultaneously, prioritize tasks, and meet deadlines in a fast-paced environment. You have experience with Agile and/or Waterfall project management methodologies, with the ability to adapt approaches based on project requirements and organizational dynamics. You have proficiency in project management tools and software, such as Microsoft Project, JIRA, or similar platforms. You have strong analytical and problem-solving skills, with the ability to anticipate challenges, identify opportunities, and develop innovative solutions. You have leadership qualities, including team-building, decision-making, and conflict resolution skills, with a focus on fostering collaboration and driving results. You have passion for technology and innovation, with a proactive attitude towards learning and staying updated on emerging trends in Cognitive and IT operations management. This role is available in Bengaluru and will be hired into Amelia Global Services, a subsidiary of SoundHound AI. Our recruiting team will provide a total compensation range based on location and years of experience. By working at SoundHound AI, you will join hundreds of employees across the globe who strive every day to create exceptional AI-powered experiences for customers, employees, and patients. We are a values-driven company that is supportive of one another, open and honest, undaunted by challenges, nimble and focused, and determined to excel and win. Our mission is to build voice AI for the world and use our global, diverse perspectives to achieve real generational breakthroughs. SoundHound ensures that individuals with disabilities are provided reasonable accommodations to participate in the interview process, perform essential job functions, and receive other employment benefits. Learn more about our philosophy, benefits, and culture at https://www.soundhound.com/careers.  To view our job applicant privacy policy, please visit https://static.soundhound.com/corpus/ta/applicantprivacynotice.html. #LI-RM1 #LI-ONSITE

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Who we are Helsing is a defence AI company. Our mission is to protect our democracies. We aim to achieve technological leadership, so that open societies can continue to make sovereign decisions and control their ethical standards.  As democracies, we believe we have a special responsibility to be thoughtful about the development and deployment of powerful technologies like AI. We take this responsibility seriously.  We are an ambitious and committed team of engineers, AI specialists and customer-facing programme managers. We are looking for mission-driven people to join our European teams – and apply their skills to solve the most complex and impactful problems. We embrace an open and transparent culture that welcomes healthy debates on the use of technology in defence, its benefits, and its ethical implications.  The role As the Programme Manager Analyst, you are the operational heartbeat of a critical national defence programme. Reporting directly to the Programme Lead, you will bridge the gap between high-level strategic objectives and the day-to-day realities of technology delivery. You will drive the operational rhythm of the programme, ensuring seamless coordination across multiple work streams to support the end-to-end delivery of a next-generation weapon system. This is a unique opportunity to apply your analytical and organisational skills in a high-impact, dynamic environment. The day-to-day Managing the Programme Management Office (PMO) function, including the maintenance of RAID logs (Risks, Assumptions, Issues, Dependencies), action trackers, and decision logs Driving the reporting cycle by coordinating and consolidating status updates from various technical and non-technical workstreams Facilitating key programme meetings, including status reviews and stand-ups, ensuring they are well-prepared, documented, and actions are tracked to completion Preparing high-quality briefing packs, dashboards, and presentations for senior leadership and key stakeholders Supporting the Programme Lead in tracking progress against the master schedule, identifying potential delays and dependencies before they become critical Acting as the central point of contact for information requests, ensuring a single source of truth for programme data and documentation Engaging with technical delivery teams to understand their progress, challenges, and resource needs, translating this into programme-level insights Supporting programme governance activities, helping to ensure compliance with established processes and standards You should apply if you Have 1-3 years of experience in a project/programme delivery or consulting role Come from a consulting background (e.g., Big 4, technology, or management consulting), where you have learned to structure problems, manage stakeholders, and deliver high-quality work under pressure Possess exceptional organisational skills, with a keen eye for detail and the ability to manage multiple competing priorities effectively Are a natural communicator, able to clearly and concisely convey complex information to both technical and non-technical audiences Have hands-on experience with core PMO activities, including risk and issue management, status reporting, and meeting facilitation Are highly proficient in Microsoft Office, particularly PowerPoint for creating compelling presentations and Excel for data analysis and tracking Are proactive, resourceful, and have a "can-do" attitude, ready to take ownership and support the team wherever needed Thrive in a fast-paced, complex environment and are comfortable with a degree of ambiguity Are eligible to obtain and maintain the necessary level of security clearance Have an interest in or prior exposure to the defence, aerospace, or public sector (this is desirable, but not essential) Note: We operate in an industry where women, as well as other minority groups, are systematically under-represented. We encourage you to apply even if you don’t meet all the listed qualifications; ability and impact cannot be summarised in a few bullet points. Join Helsing and work with world-leading experts in their fields  Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defence industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practise responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn’t work, and to take ownership of aspects of our culture that you care deeply about What we offer A focus on outcomes, not time-tracking Competitive compensation and stock options Relocation support Social and education allowances Regular company events and all-hands to bring together employees as one team across Europe Helsing is an equal opportunities employer. We are committed to equal employment opportunity regardless of race, religion, sexual orientation, age, marital status, disability or gender identity. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation.  Helsing's Candidate Privacy and Confidentiality Regime can be found here.     

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🌁 Location: San Francisco, in-person only💰 Salary: $250k - $500k annual salary + 📈 Equity💻 Languages: 5+ years of experience in Go, Terraform✅ Skills: Building and managing large clusters, Linux, Networking, Kubernetes, Virtualization👉 Who we areE2B is a fast growing Series A startup with 7-figure revenue. We've raised over $32M in total since our funding in 2023 and are supported by great investors like Insight Partners. Our customers are companies like Perplexity, Hugging Face, Manus, or Groq. We're building the next hyperscaler for AI agents. 👉 About the roleYou will be building the next cloud platform for running AI software - a cloud where AI apps are building other software apps.Your job will be:Building a distributed system for millions and billions of AI agents running on E2BBuilding an orchestrator for placing sandboxes in the right nodesAdding support for sandbox live migrationsMaking sure our self-hosting DX is as smooth as possible (we’re open-source)Not letting our sandboxes take more than 200ms to start (starting with the user hitting enter)Scaling to millions and later billions of sandboxes running at the same timeBuilding an observability stack starting at the kernel level of virtual machinesWe’re looking for an infrastructure engineer passionate about making things run fast and efficiently, and running A LOT of them at the same time.If you aren’t afraid of going into the kernel of a VM and words like Firecracker, eBPF, UFFD, block device, L4 load balancing, noisy neighbor problem, or hugepages sound exciting to you, we want to hear from you!

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Why you should join usTandem is a generational opportunity to rethink how we bring new therapies to market, and our path to doing so is significantly de-risked – we have:Exponential organic growth: We have product-market fit and are growing rapidly through word-of-mouth. Tandem supports thousands of patients every day, is doubling doctor users every quarter, and is working with the largest biopharma companies in the world.An AI-first business model: Our approach is distinctly enabled by AI, but our business will get stronger (not commoditized) as foundation models improve. We are building durability through two-sided network effects that will compound over time.Top tier investors: With the traction to support conviction in our model, we raised significant funding from investors (including Thrive Capital, General Catalyst, Bain Capital Ventures, and Pear VC) to build an exceptional team of engineers and operators.Our number one priority is scaling to market demand. We are looking for individuals who are high horsepower, high throughput, and hyper resourceful to help us increase capacity and grow. We move fast and need to move faster.All full-time roles are in person in New York. You can learn more about working with us in the last section of this page.About the roleAs an Infrastructure Engineer at Tandem, you’ll be our first dedicated hire focused on infrastructure and developer experience. You’ll own and evolve the core systems that make our engineering team faster, our platform more reliable, and our company more scalable. This role sits at the foundation of everything we build — from AI product development to partner integrations to high-stakes, high-throughput operations.You’ll have the opportunity to define our foundational infra practices — from CI/CD to observability to cloud architecture — and set the tone for how we scale. You’ll work across infrastructure, DevOps, and developer productivity, building systems that let us move fast without compromising stability or clarity.This is a demanding role, with a high level of autonomy and responsibility. You will be expected to "act like an owner" and commit yourself to Tandem's success. If you are low-ego, hungry to learn, and excited about intense, impactful work that drives both company growth and accelerated career progression, we want to hear from you.If you join, you will:Design and evolve CI/CD pipelines to improve speed, safety, and developer experienceScale and maintain core infrastructure — including Kubernetes clusters, PostgreSQL databases, ephemeral browsers, and data replication workflowsBuild and own our monitoring, alerting, and observability systems to ensure platform reliability and uptimeIntegrate AI-powered development tools to streamline engineering workflowsAnalyze and control cloud infrastructure spend while maintaining performance and reliabilityImprove internal tooling and developer environments to unblock execution at every layerPartner with engineering and product teams to anticipate scaling challenges and harden critical systemsWe’ll be most excited if you:Experience in infrastructure, DevOps, or SRE roles at fast-moving, product-driven tech companiesHands-on experience with cloud infrastructure (we use AWS; GCP and Azure are nice to have)Proficiency with infrastructure-as-code tooling (Terraform preferred)Deep familiarity with containerization and orchestration (Docker, Kubernetes)Experience with observability and monitoring systems (e.g., Grafana, Datadog)Proven ability to design and improve CI/CD pipelines (we use GitHub Actions)High NPS with your former teammatesThis is a list of ideal qualifications for this position. If you don't meet every single one of them, you should still consider applying! We’re excited to work with people from underrepresented backgrounds, and we encourage people from all backgrounds to apply.Working with usTandem is based in New York, with our full team working out of a beautiful and spacious office in SoHo. We run as a high-trust environment with high autonomy, which requires that everyone is fully competent and operates in line with our principles:Commit to audacity. "Whether you think you can, or you think you can't – you're right.”Do the math. Be rigorous, assume nothing.Find the shortest path. Use hacks, favors, and backdoors. Only take a longer road on purpose.Spit it out. Be direct, invite critique, avoid equivocation – we want right answers.Be demanding and supportive. Expect excellence from everyone and offer help to achieve it.Do what it takes to be number 1. We work hard to make sure we win.We provide competitive compensation with meaningful equity (for full-time employees). Everyone who joins early will be a major contributor to our success, and we reflect this through ownership and pay.We also provide rich benefits to ensure you can focus on creating impact (for full-time employees):Fully covered medical, vision, and dental insurance.Memberships for One Medical, Talkspace, Teladoc, and Kindbody.Unlimited paid time off (PTO) and 16 weeks of parental leave.401K plan setup, FSA option, commuter benefits, and DashPass.Lunch at the office every day and Dinner at the office after 7 pm.Our salary ranges are based on paying competitively for our company’s size and industry, and are one part of the total compensation package that also includes equity, benefits, and other opportunities at Tandem (for full-time employees). Individual pay decisions are ultimately based on a number of factors, including qualifications for the role, experience level, skillset, geography, and balancing internal equity. Tandem is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.

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Replit is the fastest way to turn ideas into software. With our powerful AI-powered Agent and Assistant, anyone can create and launch apps from natural language in just one click. Build and deploy full-stack applications directly from your browser—no setup required. Never written a line of code in your life? No problem. Replit makes software creation accessible, collaborative, and lightning-fast. Join us in our mission to empower the next generation of builders.Replit is seeking a Sales Engineer (SE) with strong technical expertise to join our growing sales team. Candidates with solid coding ability, while excelling at communicating with non-technical audiences are ideal, as our primary users are Product Managers, Designers, and Operations professionals who use Replit’s AI coding agent to build business apps and new products.This position encompasses both pre- and post-sales support, working closely with our Account Executive and Account Managers throughout the customer lifecycle and spanning all segments from SMB to Enterprise. A significant portion of the role involves supporting and travelling to prospective customers to run hackathons with non-engineering teams.This role offers a distinctive opportunity for people who excel in client-facing situations and have a passion for solving business challenges with AI. You'll leverage your skills to effectively communicate Replit's value proposition: a world where anyone can create software using natural language.What You'll DoPartner with Account Executives and Account Managers to provide technical expertise throughout both pre-sales and post-sales customer lifecyclePlan, coordinate, and facilitate hackathons at prospective customer sites (typically 50-200 attendees per event)Travel up to 25% of the time to support on-site customer hackathons and technical engagementsConduct compelling product demonstrations tailored to non-technical audiences (PMs, Designers, Operations teams)Lead technical discovery sessions focused on use cases like prototyping, internal tool development, and workflow automationArticulate how Replit's AI coding agent empowers non-technical users to build applications without traditional codingDesign and present solutions that showcase how teams can leverage Replit for rapid prototyping and internal toolingCreate educational content and workshops for hackathon participants and customer teamsCollaborate with product and engineering teams to address technical questions and gather user feedbackProvide hands-on technical support during customer implementations and onboardingDevelop technical content including demo scripts, hackathon materials, and use case documentationStay current with Replit's evolving AI capabilities and new features for non-technical usersRequired Skills & Experience3+ years of experience in a Sales Engineer, Solutions Engineer, or technical sales role, preferably in SaaS or no-code/low-code toolsStrong coding skills at minimum entry-level/junior software engineer proficiencyExceptional ability to communicate complex technical concepts to non-technical audiences (PMs, Designers, Operations teams)Understanding of common business use cases for prototyping, internal tooling, and workflow automationExcellent presentation and demonstration skills with business stakeholders and non-technical usersProven ability to quickly learn and teach AI-powered development toolsStrong problem-solving skills and ability to guide non-technical users through technical challengesComfort with frequent travel (up to 25%) for on-site customer events and hackathonsSelf-motivated with excellent event planning and organizational skillsPassion for democratizing software creation and AI-powered development toolsBonus PointsYou're an active Replit userYou've worked at an early-stage startup or in developer toolsDegree in Computer Science, Engineering, or a related technical field (or equivalent practical experience)Tools + Tech Stack for this roleReplitHubspot CRMZoomInfoClaySmartLeadLinkedInHashboard, HexThis role may not be a fit ifYou’re not based in the Bay area or willing to relocateYou lack an understanding of the software development lifecycle; have little to no coding knowledgeYou’re not passionate about AIYou don’t enjoy being in client facing roles where most of your day is talking to othersYou’re not comfortable with frequent travel (up to one week per month average)Full-Time Employee Benefits Include:💰 Competitive Salary & Equity💹 401(k) Program⚕️ Health, Dental, Vision and Life Insurance🩼 Short Term and Long Term Disability🚼 Paid Parental, Medical, Caregiver Leave🚗 Commuter Benefits📱 Monthly Wellness Stipend🧑‍💻 Autonoumous Work Environement🖥 In Office Set-Up Reimbursement🏝 Flexible Time Off (FTO) + Holidays🚀 Quarterly Team Gatherings☕ In Office AmenitiesWant to learn more about what we are up to?Meet the Replit AgentReplit: Make an app for thatReplit BlogAmjad TED TalkInterviewing + Culture at ReplitOperating PrinciplesReasons not to work at ReplitTo achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.This is a full-time role that can be held from our Foster City, CA office. The role has an in-office requirement of Monday, Wednesday, and Friday.

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About DelveDelve is building an AI-native platform that transforms compliance from tedious, manual work into effortless, automated workflows.We’re the fastest growing compliance company on the market. Delve helps hundreds of companies save hundreds of hours (e.g. Lovable, 11x, WisprFlow) by eliminating busywork and helping teams focus on what matters — building securely.Backed by Insight Partners, General Catalyst, Y Combinator, and top-tier investors, we just raised our $32M Series A and are scaling quickly.Our team includes former founders, Olympiad medalists, and engineers from OpenAI, Stanford, MIT, and Berkeley. We’re on a mission to eliminate busywork for humanity — starting with compliance.About the RoleWe’re hiring a Senior Full-Stack Engineer to own major product initiatives end-to-end. You’ll work across React, TypeScript, Node.js, and Postgres to ship high-impact features that power AI-driven workflows and core user experiences.You’ll get high-level product direction and be trusted to lead implementation — from system design to launch — while mentoring other engineers and helping shape the future of the platform.This is a role for someone who thrives in ambiguity, unblocks themselves and others, and brings strong judgment to the table. You know how to balance fast iteration with long-term quality, and you’re ready to help level up the team around you.What You’ll DoLead system design and architecture for core features and infrastructureShip full-stack product features across our core app and AI-powered workflowsMentor and pair with junior and mid-level engineers; foster a culture of technical excellenceTranslate high-level product goals into scalable backend and frontend implementationsMake smart tradeoffs in speed, scope, and UX — without excessive handholdingCollaborate closely with engineers, product, and design to move quickly and stay alignedTouch every part of the stack: React, Next.js, Node.js, Postgres, ORM toolsOwn major product areas and be accountable for their reliability, performance, and extensibilityWhat We’re Looking For5–7+ years of experience building production-grade productsStrong technical breadth across the stack — React, TypeScript, TailwindCSS, Node.js, PostgresDeep experience with system design and architecture decisions in fast-moving environmentsA track record of ownership: you've led complex features or systems end-to-endPassion for mentoring and sharing knowledge with teammatesExcellent product sense: you understand what good UX looks like and how to deliver itHigh agency, low ego: you move fast, ask smart questions, and lift the team around youWhy In-Person SF MattersYou’ll work shoulder-to-shoulder with an exceptional team:Ex-Stanford, MIT, and Berkeley engineers with dozens of papersInternational Olympiad winners and medalistsEx-OpenAI engineers with 10+ years of domain expertise for mentorshipFormer founders who’ve closed $500k in revenue at 19 and hired 40+ peopleDecisions happen live, not in backlogged async threadsA players work with A players. There’s a buzzing energy in the office. Hit the whiteboard with anyone here and you’ll understand why.Benefits100% medical, dental & vision coverage (for you; partial for dependents)401k with employer matchUnlimited PTO + federal holidaysGrubHub stipend + all meals covered in-officeGym membership coveredFrequent team dinners, events, and off-sitesThe opportunity to eliminate busywork for humanityJoin UsIf you want to build real features fast, shape the system under the hood, and mentor the next generation of engineers — all with a world-class team — apply now.

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About Brain Co.Brain Co. is at the leading edge of productionizing artificial intelligence for real world problems, propelling advancements and shaping the future with pioneering work. Our mission is to ensure that the transformative powers and automation of AI are applied to real world problems in various governments where manual work is still dominant. We are seeking visionary AI/ML Engineers with experience in GenAI and ML modeling, where you will convert groundbreaking research into real-world applications that revolutionize industries, boost human creativity, and address complex challenges.About The RoleAs an AI/ML Engineer at Brain Co., you will play a crucial role in deploying state-of-the-art models to automate various real world problems in sectors such as healthcare, government and energy. Part of the role will involve turning research breakthroughs into practical solutions for various nation states. This role is your opportunity to make a significant impact by making AI technology both accessible and influential.In This Role, You Will:Innovate and Deploy: Design and deploy advanced LLM models to tackle real-world problems, particularly in automating complex, manual processes in a range of real-world verticals.Optimize and Scale: Build scalable data pipelines, optimize models for performance and accuracy, and prepare them for production. Monitor and maintain deployed models to ensure they continue delivering value across various governments worldwide.Make a Difference: Engage in projects including but not limited to optimizing the world's most advanced energy production systems, modernizing core government workflows, or improving patient outcomes in advanced public healthcare systems. Your work will directly impact how AI benefits individuals, businesses, and society at large.Engage with Leaders: interact directly with government officials in various countries and apply the first of its kind AI solutions while working alongside experienced ex. Founders, AI researchers, and software engineers to understand complex business challenges and deliver AI-powered solutions. Join a dynamic team where ideas are exchanged freely and creativity flourishes. You will be able to wear many hats: software building, product management, sales, interpersonal skills.Learn and Lead: Keep abreast of the latest developments in machine learning and AI. Participate in code reviews, share knowledge, and set an example with high-quality engineering practices.You Might Thrive In This Role If You:Hold a BSc/Master’s/PhD degree in Computer Science, Machine Learning, Data Science, or a related field.Have experience building GenAI-focused applications with the latest technologies, including but not limited to Agents, reasoning models and RAG.Have at least a high level familiarity with the architecture and operation of large language models.Have personally implemented models in common ML frameworks such as PyTorch, Jax or TensorFlow.Possess a strong foundation in data structures, algorithms, and software engineering principles.Exhibit excellent problem-solving and analytical skills, with a proactive approach to challenges.Can work collaboratively with cross-functional teams.Thrive in fast-paced environments where priorities or deadlines may compete.Are eager to own problems end-to-end and willing to acquire any necessary knowledge to get the job done.BenefitsCompetitive salary plus equityDaily lunchesCommuter benefits401(k)Medical, Dental and VisionUnlimited PTOCompensationThe salary range for this role is $155,000 to $265,500 for this position. Actual salaries will vary depending on factors including but not limited to location, experience, and performance. The range listed is just one component of Brain Co.'s total compensation package for employees. Other benefits may include stock options, an unlimited paid time off policy, and coverage on medical, vision and dental insurance.

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About Us:We are establishing the first distributed Al infrastructure dedicated to personalized Al. The evolving needs of a data-driven society are demanding scalability and flexibility. We believe that the future of Al is distributed and enables real-time data processing at the edge, closer to where data is generated. We are building a future where a company's data and IP remains private and it's possible to bring large models directly to consumer hardware without removing information from the model.Role Overview: As a Staff R&D Software Engineer specializing in Simulation, you will lead the development of cutting-edge photo-realistic training environments for robotics applications and synthetic data generation pipelines for computer vision model training. You'll architect and build advanced simulation systems using XR/AR/VR technologies, physics engines, and optimized rendering pipelines that bridge the gap between virtual training and real-world robotics deployment. This role combines deep technical expertise in game engines, computer graphics, and simulation with research-driven innovation to create breakthrough solutions in robotics simulation. Key Responsibilities:Design and architect photo-realistic simulation environments for robotics training scenarios using Unreal Engine, Unity 3D, or similar platformsDevelop advanced rendering pipelines optimized for synthetic data generation and real-time robotics simulationBuild robust physics simulation frameworks that accurately model real-world robotics use cases and sensor interactionsCreate scalable synthetic data generation systems for training computer vision models with domain randomization techniquesImplement cutting-edge rendering techniques including ray tracing, PBR materials, and advanced lighting systemsOptimize simulation performance across diverse hardware platforms and deployment environmentsResearch and prototype novel simulation methodologies for robotics training applicationsCollaborate with robotics and ML/CV teams to define simulation requirements and validate training effectivenessMentor junior engineers and contribute to technical standards and best practices across the R&D teamPresent research findings and technical solutions to leadership and external stakeholdersStay current with academic research in simulation, computer graphics, and robotics to drive innovation Qualifications & Skills:7+ years of professional software development experience with 4+ years specializing in simulation, game engines, or XR technologiesExpert-level proficiency in C++ and/or C# with demonstrated experience in performance optimization and debuggingExtensive hands-on experience with Unreal Engine and/or, Unity 3D including custom shader development and rendering pipeline optimizationStrong foundation in 3D mathematics, linear algebra, computer graphics fundamentals, and physics simulationProven track record developing and optimizing VR/AR/XR applications across multiple platformsExperience with robotics simulation frameworks (Webots, Gazebo, Isaac Sim, AirSim, or similar) or willingness to quickly learnUnderstanding of synthetic data generation techniques and computer vision model training requirementsStrong software engineering practices including version control, code reviews, and collaborative developmentExcellent problem-solving skills and ability to work independently on complex technical challengesStrong communication skills with ability to explain complex technical concepts to diverse audiencesPreferred Qualifications:Startup experience with ability to thrive in fast-paced, resource-constrained environmentsPrevious work in robotics, autonomous systems, manufacturing, or industrial automationExperience with advanced rendering techniques such as ray tracing, global illumination, and GPU programming (CUDA, compute shaders)Knowledge of cloud computing platforms and distributed simulation systemsExperience with procedural content generation and algorithmic asset creationBackground with AR/VR hardware platforms (HTC Vive, Oculus, HoloLens, etc.)Published research, patents, or open-source contributions in simulation, computer graphics, or roboticsExperience with digital twins or industrial simulation applicationsLeadership experience mentoring technical teams and driving cross-functional collaborationFamiliarity with robotics kinematics, dynamics, and sensor modeling principlesWe at webAI are committed to living out the core values we have put in place as the foundation on which we operate as a team. We seek individuals who exemplify the following:Truth - Emphasizing transparency and honesty in every interaction and decision.Ownership - Taking full responsibility for one’s actions and decisions, demonstrating commitment to the success of our clients. Tenacity - Persisting in the face of challenges and setbacks, continually striving for excellence and improvement.Humility - Maintaining a respectful and learning-oriented mindset, acknowledging the strengths and contributions of others.Benefits:Competitive salary and performance-based incentives.Comprehensive health, dental, and vision benefits package.$200/mos Health and Wellness Stipend$400/year Continuing Education CreditFlexible work weekFree parking, for in-office employeesUnlimited PTOParental, Bereavement LeaveSupplemental Life InsurancewebAI is an Equal Opportunity Employer and does not discriminate against any employee or applicant on the basis of age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We adhere to these principles in all aspects of employment, including recruitment, hiring, training, compensation, promotion, benefits, social and recreational programs, and discipline. In addition, it is the policy of webAI to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations and ordinances where a particular employee works.

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About xAI xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers and researchers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.About the Team The AI search team aims to make Grok the best AI system for research, information retrieval and gathering real-time information from various sources. The team is responsible for curating high quality data and hard problems for RL training, making evaluations to benchmark AI systems and capture product issues, and building tools to unleash the capabilities of reasoning models. About the Role In this role you might: Build evaluation benchmarks to the next generation of search/research agents. Innovate and curate challenging RL data with scalable synthetic/human data pipeline Innovate data, verification and RL algorithms to build the best open-ended research system. Build various tools to help model exploring seamlessly on the internet. Exceptional candidates may have: Experience with LLM and information retrieval evaluation data curation Experiences with human/synthetic data generation for RL Experience with AI search or Agentic search systems Strong engineering abilities Location The role is based in Palo Alto. Our team usually works from the office 5 days a week but allow work-from-home days when required. Candidates are expected to be located near Palo Alto or open to relocation. Interview Process After submitting your application, the team reviews your CV and statement of exceptional work. If your application passes this stage, you will be invited to a 15 minute interview (“phone interview”) during which a member of our team will ask some basic questions. If you clear the initial phone interview, you will enter the main process, which consists of four technical interviews: Coding assessment in a language of your choice. Researcher technical sessions (2): These sessions will be testing your ability to formulate, design and solve concrete problems in real world with LLM. It can be research or engineering, depending on background/experience. Meet the Team: Present your past exceptional work and your vision with xAI to a small audience. Our goal is to finish the main process within one week. All interviews will be conducted via Google Meet. Annual Salary Range $180,000 - $440,000 USDxAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

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About xAI xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers and researchers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.About the Team The Reasoning Efficiency team at xAI focuses on pushing the boundaries of cost-efficient intelligence.   About the Role In this role you will: Build the next generation of Multimodal Grok that excels at reasoning, tool usage to solve challenging problems Work across the LLM stack (pre-training, SFT, RL) to deliver the strongest model for end users Exceptional candidates may have: Experience or publications in (multimodal) large language models (data / training algorithm / architecture) Exceptional engineering skills to iterate quickly on the data processing and training pipelines Strong understanding of large language model and data Deep knowledge of reinforcement learning techniques Location We hire engineers in Palo Alto. Our team usually works from the office 5 days a week but allow work-from-home days when required. Candidates are expected to be located near Palo Alto or open to relocation. Interview Process After submitting your application, the team reviews your CV and statement of exceptional work. If your application passes this stage, you will be invited to a 15-minute interview (“phone interview”) during which a member of our team will ask some basic questions. If you clear the initial phone interview, you will enter the main process, which consists of four technical interviews: Coding assessment in a language of your choice. 2x post-training technical sessions: These sessions will be testing your ability to formulate, design and solve concrete problems in training data for post-training. Meet the Team: Present your past exceptional work and your vision with xAI to a small audience. Our goal is to finish the main process within one week. All interviews will be conducted via Google Meet. Annual Salary Range $180,000 - $440,000 USDxAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

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About xAI xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers and researchers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.About the Team The AI Expert team strives to make AI models excellent in scientific and professional domains, such as math, engineering, biology, medicine, and finance. This team will build AI experts in an end-to-end manner, including building model evaluation, curating training data, and developing training recipes. About the Role In this role you might: Innovate next-generation RL algorithms to unleash AI abilities in open-ended science research and real-world professional work. Build evaluation for AI models in expert domains Build RL data infrastructure and generate training data. Exceptional candidates may have: Strong engineering abilities Experience with data collection and data generation for LLMs Optional: Experiences with cross-domain experiences Location We hire engineers in Palo Alto. Our team usually works from the office 5 days a week but allow work-from-home days when required. Candidates are expected to be located near Palo Alto or open to relocation. Interview Process After submitting your application, the team reviews your CV and statement of exceptional work. If your application passes this stage, you will be invited to a 15-minute interview (“phone interview”) during which a member of our team will ask some basic questions. If you clear the initial phone interview, you will enter the main process, which consists of four technical interviews: Coding assessment in a language of your choice. 2x post-training technical sessions: These sessions will be testing your ability to formulate, design and solve concrete problems in training data for post-training. Meet the Team: Present your past exceptional work and your vision with xAI to a small audience. Our goal is to finish the main process within one week. All interviews will be conducted via Google Meet. Annual Salary Range $180,000 - $440,000 USDxAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice