Find your next AI Engineering role

Sierra is building a platform to enable companies to create better, more human customer experiences with AI. We are seeking a GTM Engineer to implement Go-to-Market software for our marketing, sales, and agent development teams. This role involves designing and building automated workflows, integrations, and AI-powered systems to manage the lead lifecycle from enrichment to outbound activation. You will own the enrichment infrastructure end-to-end, build AI agents and internal tools to enhance sales team productivity, and develop data architecture for efficient data flow. The ideal candidate will have a strong understanding of modern GTM stacks and production experience with LLMs.

Cohere

Cohere is seeking senior software engineers with Applied AI experience to join their team as Forward Deployed Engineers for the Agentic Platform in Korea. This role involves bridging Cohere's North AI workspace platform with client engineering teams, focusing on solving complex problems and securely integrating AI into critical sectors. You will be responsible for the design, build, and deployment of agentic workflows powered by Large Language Models (LLMs), from prototypes to production-grade AI agents, delivering tangible business value. This position requires working closely with customers on real-world business problems, often building novel agent workflows that integrate LLMs with tools, APIs, and data sources, ensuring reliability, observability, safety, and auditability from the outset.

$20k - $40k

Replit

Replit is seeking an engineer to join the Replit Cloud organization, focusing on the development of Replit Agent. This team builds Replit's first-party cloud infrastructure, managing essential services like databases, application storage, hosting, and development environments. Your work will be crucial in powering one of Replit's key product differentiators by ensuring seamless integration of these services, enabling users to build, scale, and succeed entirely on the Replit platform.

Replit

Replit is seeking a Staff Software Engineer to lead the development of Replit Agent, a groundbreaking AI coding agent that empowers anyone to build applications using natural language. As a technical leader within the Replit Cloud organization, you will be instrumental in building and scaling Replit's first-party cloud infrastructure, which supports millions of users worldwide. This role involves taking new products from conception to launch, iterating on core cloud services, and solving complex technical challenges to enhance user experience and product differentiation. You will collaborate closely with product and design teams, mentor engineers, and contribute to the full-stack development of Replit's platform.

Harvey

Harvey is seeking a Product Manager, New Verticals to define, build, and scale AI agent-powered solutions for strategic customers. This role involves deep customer discovery, sales collaboration, complex workflow mapping, and leveraging AI/LLM capabilities for successful deployments. You will work closely with key accounts to understand their highest-value use cases, translate them into agent-powered solutions, and partner with engineering and research teams to bring them to life. The goal is to drive repeatability by transforming bespoke deployments into scalable products, pricing models, and commercial frameworks for entire verticals.

$215k - $300k

Decagon is seeking a Product Manager to own the roadmap for a major product area within their conversational AI platform. This role involves partnering closely with customers and internal teams to deliver features that enhance the platform's power, flexibility, and enterprise readiness. You will be instrumental in designing AI-powered features, building intelligent systems for agent control, creating effortless self-serve configuration experiences, and expanding the platform's reach through integrations. The position requires close collaboration with engineering, design, sales, and leadership to ensure the core platform meets the needs of diverse customer segments.

$232k - $290k

Decagon is seeking a Staff Software Engineer for its Enterprise Product team. This role will be a technical leader responsible for shaping the platform that empowers customers to build, maintain, and improve their AI agents. You will collaborate closely with Agent Software Engineering and Agent PM teams to understand workflows and define technical strategies. Working with product and design teams, you will be involved in discovery, defining requirements, reviewing designs, and launching features. Beyond building, you will mentor engineers, supervise projects, and provide technical direction.

$200k - $400k

Decagon is seeking an Agent Development Manager to join their Agent Development Team. This role will be responsible for building and scaling the function that develops world-class AI Agents for customers. The manager will own the strategy and execution for deploying Decagon across complex enterprise environments, ensuring smooth, impactful agent builds that lay the groundwork for long-term customer success. This includes designing and owning the agent development playbook, creating repeatable and scalable frameworks and processes, and continuously improving delivery through AI tools, automation, and operational design to boost efficiency and reduce time to value. The role requires close partnership with customer teams to understand workflows and goals, and cross-functional collaboration with Sales, Product, and Engineering to translate needs into successful agent builds, guiding complex rollouts and ensuring measurable impact.

Decagon is seeking a Field Engineer to own the technical scoping and implementation of complex requirements for enterprise prospects and customers. In this dynamic, cross-functional role, you will serve as the technical expert and trusted advisor, proving technical feasibility and potentially carrying work through to production. You will build intricate integrations, configure and optimize AI agents for production environments, and collaborate with Solutions Engineers, Product, and Engineering teams to develop necessary features. Your responsibilities will include establishing technical credibility with stakeholders across various organizational levels and driving the technical win for critical enterprise opportunities.

Decagon is seeking an Agent Deployment Engineer to join their specialized technical delivery team. This role is responsible for the end-to-end execution of AI agent builds for strategic enterprise customers. You will own the hands-on implementation work, from systems design and scoping through to production deployment, ensuring agents perform reliably at scale. This is a highly technical, customer-facing position where you will translate customer requirements into build plans, interface with senior technical stakeholders, and drive the delivery of AI agents that significantly impact business outcomes. You will also collaborate closely with internal teams to create feedback loops, surface platform gaps, and influence the evolution of Decagon's agent-building platform based on real customer needs.

$175k - $230k

Decagon is seeking a Senior Solutions Engineer to join their team. This foundational technical role will influence the future of AI-powered enterprise solutions. You will act as a technical advisor and trusted consultant to enterprise prospects and customers, focusing on value-based solutioning and integrating Decagon's AI-native platform into complex customer ecosystems. This position blends pre-sales engineering, product strategy, and enterprise architecture.

Harvey

Why Harvey At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. With 1500+ customers in 60+ countries, strong product-market fit, and world-class investor support, we’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. Role Overview The Developer Experience team is what keeps Harvey’s fast growth momentum possible — the kind of fast where every week brings new products, new capabilities, and new challenges. We build the CI/CD systems, internal frameworks, and platform-level guardrails that enable all Harvey engineers to ship ambitious AI features rapidly and safely. As a Software Engineer on the Developer Experience team, you will be responsible for creating frameworks and systems that maximize the velocity and efficiency of every engineer at Harvey. You’ll work across the entire tech stack and collaborate with every team to instill reliability, automation, and simplicity into our developer workflows. You'll also have a unique opportunity to apply AI directly to the problem of developer productivity, defining the future of software development within an AI-native company. If you are passionate about building foundational platforms to enable other engineers to move fast with confidence, we’d love to hear from you. What You’ll Do - Develop and scale a world-class developer platform to accelerate Harvey's hyper growth. Boost velocity and stability through robust CI/CD systems, effective test frameworks, and reliable development environments.. - Build load testing and benchmarking infrastructure essential for evaluating and optimizing the performance of AI-native applications. - Pioneer the future of software development and site reliability engineering by integrating AI agents across the software development, deployment and maintenance lifecycle. - Collaborate with Backend Platform teams to embed testability, reliability and observability into the platform, ensuring services built on our foundation are robust, easy to test and maintain. - Work closely with engineering teams to gather feedback, evangelize best practices, and make the “paved road” a reality — empowering every Harvey engineer to move fast with confidence. - Set the strategic direction and roadmap for scaling developer experience as Harvey expands, and contribute strategically to team decision-making. - Provide strong technical leadership and mentorship, upholding a high bar for engineering excellence across the team. What You Have - 7+ years of software engineering experience, including building scalable backend systems or internal developer platforms. - Proficiency in Python (or similar languages) and deep knowledge of backend development fundamentals and distributed systems. - Hands-on experience with CI/CD systems (Builtekite, Github Actions), test frameworks, or load and performance testing. - Hands-on experience with container technologies (Docker, Kubernetes) and infrastructure as code (Pulumi, Terraform). - A track record of producing high-quality, well-tested code, consistently following software development best practices to ensure quality and reliability. - Proven technical leadership throughout the entire project lifecycle, including ideation, design, implementation, and productionization. - Experience mentoring engineers, guiding architectural decisions, and shaping culture to foster engineering excellence. - Strong problem-solving skills and a passion for improving developer experience — you enjoy creating tools or frameworks that make other engineers more productive - Excellent collaboration and communication skills, with the ability to work across teams and incorporate feedback. - Experience integrating AI agents into a developer ecosystem is a strong plus. Compensation Range $238,000 - $290,000 USD Depending on your location, an Applicant Privacy Notice may apply to you. You can find all of our Applicant Privacy Notices [here]. #LI-AN2 Harvey 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. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing [email protected]

$238k - $290k

Harvey

Harvey is transforming how legal and professional services operate by combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise. This role is on the Developer Experience team, which is crucial for maintaining Harvey's rapid growth by building CI/CD systems, internal frameworks, and platform-level guardrails. The team enables all Harvey engineers to ship ambitious AI features rapidly and safely. As a Software Engineer on this team, you will create frameworks and systems to maximize the velocity and efficiency of every engineer at Harvey, working across the entire tech stack. You will also have a unique opportunity to apply AI directly to developer productivity, shaping the future of software development within an AI-native company.

$175k - $250k

Cohere

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company co-headquartered in Toronto and San Francisco, with key offices in London, New York City, Montreal, Seoul, Germany and Paris. Join us! About North: North is Cohere's cutting-edge AI workspace platform, designed to revolutionize the way enterprises utilize AI. It offers a secure and customizable environment, allowing companies to deploy AI while maintaining control over sensitive data. North integrates seamlessly with existing workflows, providing a trusted platform that connects AI agents with workplace tools and applications. Why this role? This role offers a unique opportunity to shape how enterprises harness the power of AI in real-world applications. As a bridge between our core North product and our clients’ engineering teams, you’ll be at the forefront of solving complex problems and securely integrating AI into critical sectors such as finance, healthcare, and telecommunications. We’re looking for Software Engineers with Applied AI experience who can own the design, build, and deployment of agentic workflows powered by Large Language Models (LLMs), from early prototypes to production-grade AI agents, to deliver concrete business value in enterprise workflows. You’ll work closely with customers on real-world business problems, often building first-of-their-kind agent workflows that integrate LLMs with tools, APIs, and data sources. While our pace is startup-fast, the bar is enterprise-high: agents must be reliable, observable, safe, and auditable from day one. Note: between 20 - 40% travel anticipated. In this role, you will: - Work closely with our enterprise customers to translate high-value, ambiguous business problems into well-framed agentic workflows with clear success criteria and evaluation methodologies - Lead the design, build, and delivery of LLM-powered agents that reason, plan, and act across tools, APIs, and sensitive enterprise data sources, with enterprise-grade reliability and performance - Build and ship features for North, our AI workspace platform, working across the full product lifecycle from conceptualisation through production - Take ownership of scoping and shaping use cases end-to-end, flexing into whatever technical area the problem demands (including frontend) to drive the most effective solution - Contribute to shared frameworks and patterns that enable consistent, high-quality delivery across customers and teams - Drive clarity in ambiguous situations, build alignment, and raise engineering quality across the organization - Travel up to 20–40% to work on-site with customers and partners You may be a good fit if: - You have hands-on experience building and deploying production-grade software in Python; you write clean, testable, observable, scalable code - You've built and deployed highly performant RAG and agentic applications, including agents that plan and execute multi-step tasks using patterns like ReAct or Plan-and-Execute - You're deeply familiar with the LLM stack: frontier models, vector databases, and orchestration frameworks - You have a proven ability to build robust evaluation frameworks, moving well beyond trial and error, to measure agent accuracy, safety, and latency - You’re experienced working directly with customers and can lead technical discussions with enterprise stakeholders, translating ambiguous business needs into concrete technical specs - You have experience owning the full scope of a use case end-to-end - You thrive in fast-paced and ambiguous environments and can execute well even when priorities are shifting It's a bonus if you have: - Experience setting architectural standards for AI and agentic systems across distributed teams - Experience flexing into unfamiliar technical areas, such as frontend, when the problem calls for it - Exposure to regulated or sensitive industry environments (finance, healthcare, telecoms) - Experience with enterprise security, compliance, or auditability requirements for AI systems Full-Time Employees at Cohere enjoy these Perks: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. How and Where We Work: - Cohere is remote-friendly. We have offices in Toronto, San Francisco, New York City, London, Paris, Montreal, and more coming soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider.

$20k - $40k

Synthesia is seeking a Principal Backend Engineer to focus on backend issues across all engineering teams, aiming to improve stability and standardize practices. This role involves owning projects that span quarters, requiring iterative delivery and validation. The engineer will evaluate their own work using data pipelines and frameworks to understand commercial impact and pivot as needed. A key aspect of the role is considering the long-term direction of engineering, anticipating future challenges, and developing capabilities to stay ahead. The engineer will work end-to-end, from the client application to the monolithic backend, and lead cross-team projects.

$12k - $18k

LangChain is seeking a Senior Backend Engineer to join the LangSmith team, which focuses on building the core platform for observability, evaluation, and production reliability of AI systems. In this role, you will be responsible for developing the backend systems that power LangChain's observability and evals platform, enabling developers to monitor and evaluate their AI applications at scale. While the primary focus is on backend development, experience with full-stack or frontend engineering, performance tuning, and debugging production issues will be highly beneficial.

$175k - $240k

Sierra is building a platform to enable companies to create better, more human customer experiences with AI. As an Agent Strategist, you will be responsible for bringing Sierra's AI agents to life for customers, guiding them from initial pilot phases to production-ready agents handling significant volumes of conversations. This role sits at the intersection of product development, agent building, and customer engagement, requiring a deep understanding of both the technology and the user's needs. You will transform complex customer challenges into effective AI agents that deliver measurable business impact.

Sierra is building a platform to enable companies to create better, more human customer experiences with AI. We are a primarily in-person company based in San Francisco, with growing offices globally. Our Security Engineering team builds the foundational systems that allow Sierra to deliver powerful AI agents while protecting customer data and trust. We collaborate across product and platform teams to ensure security, privacy, and safety are core product capabilities and secure defaults.

OpenAI

We are seeking a Backend Software Engineer with experience in ML/LLM-heavy domains to design and build an "evals" infrastructure. This role is critical for measuring the quality of OpenAI's support automation and involves building robust systems and backend services that form the foundation for knowledge creation, access, and application across OpenAI. You will collaborate closely with Data Science and Research partners to design and build evaluations at scale, focusing on creating reliable, reproducible, and extendable eval pipelines and infrastructure for continuous monitoring.

Sierra is building a platform to enable companies to create better, more human customer experiences with AI. As an Agent Strategist, you will own the entire lifecycle of Sierra's AI agents, from initial concept to production deployment handling thousands of conversations daily. This role sits at the intersection of product, agent development, and customer engagement, requiring a deep understanding of both technology and user needs. You will transform complex customer problems into effective AI agents that measurably improve business outcomes.

Sierra is building a platform to enable companies to create better, more human customer experiences with AI. We are seeking a Software Engineer, Agent to design and deliver production-grade AI agents that are central to Sierra's growth and revenue. These are not prototypes but scalable systems running in production across various industries. You will own the Agent Development Life Cycle (ADLC) from pilot to deployment and iteration, establishing best practices. This role involves partnering directly with leaders at large enterprises and cutting-edge startups to understand their challenges and build AI agents that transform their operations. Your customer interactions will also shape the evolution of Sierra's core platform, influencing new tools, features, and the future of AI agent development.

Cohere

Cohere is a leading security-first enterprise AI company building cutting-edge foundation AI models and end-to-end products. We are seeking engineers to join our team and contribute to the widespread adoption of AI. This role offers a unique opportunity to shape how enterprises harness the power of AI in real-world applications, acting as a bridge between our core North product and client engineering teams. You will be at the forefront of solving complex problems and securely integrating AI into critical sectors like finance, healthcare, and telecommunications, working with esteemed clients and focusing on Agentic AI.

$20k - $40k

Sierra is building a platform to enable companies to create better, more human customer experiences with AI. We are seeking a Software Engineer, Agent to design and deliver production-grade AI agents that are central to Sierra's growth and revenue. These are not prototypes but scalable systems running in production across various industries. You will own the Agent Development Life Cycle (ADLC) from pilot to deployment and iteration, establishing best practices. This role involves partnering directly with leaders at large enterprises and cutting-edge startups to understand their challenges and build AI agents that transform their operations. Your customer interactions will also shape the evolution of Sierra's core platform, influencing new tools, features, and the future of AI agent development.

Sierra is building a platform to enable companies to create better, more human customer experiences with AI. We are seeking a Software Engineer, Agent to design and deliver production-grade AI agents that are central to Sierra's growth and revenue. You will own the entire Agent Development Life Cycle (ADLC), from pilot to deployment and iteration, establishing best practices along the way. This role involves partnering directly with leaders at large enterprises and cutting-edge startups to understand their challenges and build AI agents that transform their operations at scale. Your work will also directly influence the evolution of Sierra's core platform, surfacing unmet needs and prototyping new tools and features in collaboration with research, product, and platform teams.

Sierra is building a platform to enable companies worldwide to create better, more human customer experiences using AI. We partner with industry leaders and are primarily an in-person company based in San Francisco, with growing international offices. Our co-founders have extensive experience from leading tech companies like Salesforce, Facebook, and Google, with one co-founder currently serving as Board Chair of OpenAI. We are guided by core values of Trust, Customer Obsession, Craftsmanship, Intensity, and Family.

Sierra is building a platform to enable companies to create better, more human customer experiences with AI. We are seeking a Software Engineer, Agent to design and deliver production-grade AI agents that are central to Sierra's growth. You will own the Agent Development Life Cycle (ADLC) from pilot to iteration, building, tuning, and evolving AI agents in production environments. This role involves partnering directly with large enterprises and cutting-edge startups to understand their business challenges and build AI agents that transform their operations. Your work will also influence the evolution of Sierra's core platform, surfacing unmet needs and prototyping new tools and features in collaboration with research, product, and platform teams.

Sierra is building a platform to enable companies worldwide to create better, more human customer experiences with AI. We are seeking a Product Manager, Agent Development to partner directly with engineers and customers to build and ship AI agents capable of handling thousands of daily customer conversations. This role involves engaging with customers at all levels to understand their requirements, demonstrate Sierra's agent capabilities, and address technical challenges. You will also develop and improve virtual agents to meet customer needs and drive strategic technical initiatives, while shaping the product roadmap by collaborating with engineering and product development teams on new features.

Sierra is building a platform to enable companies worldwide to create better, more human customer experiences with AI. We are seeking a Product Manager to join our team and focus on developing enterprise-grade AI agents. This role involves partnering directly with engineers and customers to build and ship AI agents capable of handling thousands of customer conversations daily. You will engage with customers at all levels to understand their requirements, demonstrate Sierra's agent capabilities, and address technical challenges. A key part of this role is shaping the product roadmap by collaborating with engineering and product development teams to implement new features that drive customer success.

Sierra is building a platform to enable companies to create better, more human customer experiences with AI. As an Agent Strategist, you will own the entire lifecycle of Sierra's AI agents, from initial concept and design to production deployment and ongoing iteration. You will work at the intersection of product development, agent building, and customer engagement, staying closely connected to both the technology and the people you serve. Your role involves transforming complex customer challenges into effective AI agents that deliver measurable business impact. You will be a trusted strategic advisor to enterprise leaders, understanding their business objectives and shaping AI strategies to achieve them, while also partnering closely with customer teams on a day-to-day basis to ensure successful agent implementation and performance.

Sierra is building a platform to enable companies to create better, more human customer experiences with AI. As an Agent Strategist, you will be responsible for bringing Sierra's AI agents to life for customers, guiding them from initial pilot phases to production-level deployment handling thousands of daily conversations. This role sits at the intersection of product development, agent building, and customer engagement, requiring a deep understanding of both the technology and the user's needs. You will transform complex business challenges into effective AI agents that deliver measurable business impact.

Sierra is building a platform to enable companies to create better, more human customer experiences with AI. As an Agent Strategist, you will be responsible for bringing Sierra's AI agents to life for customers, guiding them from initial pilot phases to production environments handling thousands of daily conversations. This role sits at the intersection of product development, agent building, and customer engagement, requiring close collaboration with both technology and the people who use it. You will transform complex customer challenges into effective AI agents that deliver measurable business impact.

Perplexity is looking for a hands-on Software Engineer to develop and enhance the software, automations, and systems that support our security operations. This role involves engineering security tools and internal AI-driven agents to improve detection, response, vulnerability management, and the overall security posture of our products and infrastructure.

Decagon is seeking a Staff Software Engineer to join the Agent Platform team. This role will focus on designing and building the core systems that govern how Decagon's AI agents operate in production environments. You will own complex, distributed systems responsible for agent execution, model orchestration, and experimentation platforms, ensuring agents are fast, reliable, and continuously improving. This position involves working in a fast-moving, ambiguous space with tight feedback loops, requiring collaboration with Research, Infra, and Product teams to ship improvements safely and at scale. The work directly impacts how agents reason, take actions, and deliver outcomes across millions of interactions.

$200k - $400k

Decagon is seeking a Staff Software Engineer to lead the architecture and evolution of its voice platform. This role involves driving multi-quarter projects to enhance timing, responsiveness, audio quality, and reliability for millions of voice interactions. You will collaborate with research, infrastructure, and product teams to integrate new speech models, push performance boundaries, and introduce new voice capabilities. The position also includes setting engineering standards for voice, mentoring senior engineers, and elevating the technical bar for this critical area of the company.

$200k - $400k

Decagon is seeking a Senior Software Engineer to join the Agent Platform team. This team builds the runtime and model orchestration layer that powers Decagon's AI agents in production, ensuring a reliable, low-latency, and delightful experience for end users. As a Senior Software Engineer, you will design and build the complex, distributed systems at the heart of the agent runtime, including execution frameworks, model orchestration logic, and experimentation platforms. Your work will directly impact how agents reason, take actions, and deliver outcomes across millions of interactions in a fast-moving, ambiguous space with tight feedback loops. You will collaborate closely with Research, Infra, and Product teams to ship improvements safely and at scale.

$200k - $400k

Sierra is building a platform to enable companies to create AI-powered customer experiences. We are seeking a Commercial Counsel to join our legal team and play a key role in structuring, negotiating, and advising on a variety of commercial contracts, including SaaS agreements, technology licenses, and vendor agreements. This role offers an opportunity to broaden your expertise into IP, regulatory, and product law within a dynamic, fast-paced startup environment. You will contribute to building a best-in-class commercial legal function, developing efficient processes, and advising on complex contractual issues, particularly those related to AI and evolving regulatory frameworks. We are looking for a collaborative team player with strong judgment, a proactive mindset, and a commitment to excellence.

Replit

Replit is seeking a Data Scientist, Product to join their team and redefine how software is built. This role will focus on understanding user behavior and translating those insights into actionable strategies to drive product growth, improve user activation and retention, and contribute to revenue growth across self-serve and enterprise segments. The ideal candidate is a fast-paced, deep-diving data scientist who can quickly generate accurate analyses, rigorously test hypotheses, and leverage AI tools to enhance productivity while maintaining high standards for output quality. You will be instrumental in shaping product strategy and ensuring the success of Replit's mission to make programming accessible and AI-powered.

Decagon is seeking a Senior Solutions Engineer to join their team. This foundational technical role will influence the future of AI-powered enterprise solutions. You will act as a technical advisor and trusted consultant to enterprise prospects and customers, focusing on value-based solutioning and integrating Decagon's AI-native platform into complex customer ecosystems. This position blends pre-sales engineering, product strategy, and enterprise architecture.

Decagon is seeking a Director, Strategic Accounts to join their team. This role is ideal for someone who is highly autonomous, product-minded, and enjoys building pipelines with major global brands. You will have the support of strong engineering resources to customize solutions and close deals. The company is focused on redefining customer experiences through conversational AI, enabling personalized and satisfying interactions across various channels.

Sierra is building a platform to enable companies to create better, more human customer experiences with AI. As an Agent Strategist, you will own the entire lifecycle of Sierra's AI agents, from initial concept and design to production deployment and continuous iteration. You will sit at the intersection of product development and customer engagement, working closely with both the technology and the people who use it. Your role involves transforming complex customer problems into effective AI agents that measurably improve business outcomes.