• Lancer et développer les activités commerciales sur le marché français • Identifier, qualifier et conclure de nouvelles opportunités commerciales • Développer et entretenir des relations solides avec les acteurs clés du secteur • Gérer l’ensemble du cycle de vente, de la prospection à la signature des contrats • Accompagner l’onboarding des nouveaux clients • Représenter l’entreprise lors d’événements professionnels

• Design and build AI-enabled features for various education products, from assessments to tutoring. • Work with education partners and internal stakeholders to understand assessment practices, quality expectations and real-world constraints. • Build evaluation approaches that measure output quality, consistency, usefulness and failure modes. • Develop retrieval, prompt-management, orchestration and structured-output workflows where appropriate. • Integrate LLM APIs, AI services and education data into reliable product capabilities. • Design practical human-review, control and escalation workflows for AI-supported decisions. • Improve the reliability, latency, cost and quality of AI services in production. • Build prototypes quickly, test them against real education use cases and productionise successful approaches. • Develop suitable guardrails, monitoring and auditability for AI outputs. • Work with Backend Engineers on service architecture, data handling, integrations and scalability. • Work with Product Engineers to ensure AI features are understandable, useful and trustworthy for teachers and students. • Use AI-assisted development tools appropriately while maintaining strong engineering judgement, testing, privacy and security standards. • Write clean, tested and maintainable code.

Title: Senior Product Engineer, AI SaaS - Customer Facing Location: United States, East Coast, Job Description: AutogenAI is a leader in generative AI SaaS, transforming how organizations draft and optimize winning proposals through cutting-edge natural language processing technology. We are one of the fastest-growing AI companies in the world, expanding rapidly to meet the increasing demand for AI-driven solutions across industries. Our innovation stems from a belief that language AI technology will revolutionize business communication over the next decade. We empower our clients to grow faster and more efficiently by delivering AI language engines customized to their needs that save time, improve content quality, and increase win rates in highly competitive markets. AutogenAI is a company where everyone can have a career-defining experience and success is achieved by fostering a culture where innovation and ambition thrive. As we scale, passionate professionals are invited to join our journey of innovation, helping shape the future of AI-powered business solutions. Job Summary: This role genuinely sits in the middle of real technical work, direct customer interaction and actual business impact. Unlike a standard Forward Deployed Dev role, you won't be deployed to one client pushing out custom work. You'll find solutions by interacting with a range of clients and prospects, building POCs and features that impact the product as a whole. We're hiring a Senior Product Engineer to be our engineering presence on the ground in the US — someone who sits alongside our US Sales and Customer Success teams, builds fast, and turns a prospect's problem into a working demo while the deal is still live. This is a hands-on building role, not a pre-sales advisory one. When a sales conversation hinges on a capability we don't quite have yet, you build a working version of it in hours or days, so the team can show it, test it, and win on it. When an idea proves itself, you work with our UK engineering squads to turn the prototype into something we ship. You'll be the person who makes "let me show you" the answer instead of "that's on the roadmap". You'll work US hours, joining customer and prospect calls, holding technical and security conversations credibly, and feeding what you learn in the field back into the product. The role deliberately sits outside our normal sprint planning so you can move at the speed deals move. Because many of our US customers are federal contractors, you'll also be one of a small US-based group able to work inside our FedRAMP environment, helping support federal deployments and sharing the on-call rota. You'll join an ambitious, fast-moving team working on deeply meaningful technical challenges in the AI space, with a lot of latitude to shape a brand-new role. You'll work from our NYC Midtown office ~2 times per month, the rest of your time can be remote based in the following East Coast States: Pennsylvania, Rhode Island, New York, New Jersey, North Carolina, Virginia. What you'll be responsible for: - Rapid Prototyping: Build small, high-impact, demoable features fast — against direct sales, CS, or customer pain — so the team can validate an idea in front of a prospect rather than promise it. - Engineering Presence in the Field: Be the credible technical voice on prospect and customer calls in US hours, covering capability, integration, and security questions, and pulling in deeper specialists when needed. - Productionisation: Once a prototype proves its value, partner with the relevant UK squad to turn it into a robust, supported part of the product. - Feedback Loop: Capture what you see and hear in the field and feed it back to Product and Engineering as concrete, prioritisable signal. - Test-and-Play Support: Build and tailor working environments and features for trials and proofs of concept that improve win rates. - Federal Support: As one of a small US-based group cleared to work inside the FedRAMP environment, contribute to federal deployment support and the on-call rota alongside our DevSecOps and backend engineers. - Cross-Team Collaboration: Work closely with US Sales and CS, the US platform/DevSecOps engineers, and UK product squads. What You'll Bring to the Team: - Strong, Fast, Pragmatic Build: You can stand up a working full-stack feature quickly and judge the right bar for the moment. - Customer Credibility: You can hold your own in a room with a prospect's technical and security people, and you enjoy it. - Independence and Judgement: You're comfortable working outside a fixed roadmap, deciding what's worth building, and prioritising against commercial impact without close direction. - Collaborative Instinct: You bridge naturally between commercial teams and engineering, and bring validated ideas back into the core product rather than building a silo. - Resilience in Ambiguity: Comfortable operating without detailed specifications and iterating through feedback in a fast-moving environment. Requirements: - Experience: 5+ years in software engineering, with demonstrable experience building and shipping features fast, ideally in a fast-paced or start-up environment. - Customer-Facing Background: Prior experience in a forward deployed engineer, solutions engineer, sales engineer, or founding/early-engineer role at a B2B software company. - Work Authorization: US Citizen, plus background check (required for our federal compliance environment). - Location: Based in or around New York City, or willing to relocate; set up to work US business hours with overlap into the UK morning. - On-Call: Willing to share the US federal on-call rota alongside our DevSecOps and backend engineers. Preferred Qualifications: - While not strict requirements, candidates with these experiences will be strongly prioritised: - Production LLM Experience: Hands-on experience building and shipping LLM-powered features in production. - Demo and POC Craft: A track record of building things that won deals, with examples you can talk through. - GovCon / Federal Familiarity: Understanding of US public-sector procurement, GovCon workflows, or regulated-environment requirements (FedRAMP, GSA, and similar). - Prompt Engineering and Context Techniques: Practical grasp of prompt engineering, RAG, and related techniques for getting reliable behaviour out of LLMs. - Stack Familiarity: Comfort with our TypeScript stack (Express, NestJS, React); Python a bonus. - Onsite Presence: We have a NY office in Midtown. We don't mandate office days, but for this role in particular — where the whole point is engineering presence alongside the US sales and CS teams — regular face time is a significant plus. Compensation and Benefits: - Competitive Salary: $180,000 - $200,000 depending on specific experience and qualifications relevant to the role. - Stock Options: Meaningful equity in the company. - Comprehensive medical/dental/life insurance: Insurance coverage for individuals and families partially paid by the company as well as opportunity to participate in pre-tax health Flexible Spending Account. - Retirement Plan: Ability to invest your pre-tax dollars in a 401(k) retirement plan with company matching contributions. - Paid Time Off: Unlimited vacation (Yes, you read right!) - Flexible Work Options: NYC based with regular collaboration time at our midtown NYC office. - Paid parental leave: 12 weeks if you’ve just given birth, 4 weeks if your partner has just given birth (after one year of year of service) - Additional Perks: Your choice of laptop (Mac or Windows), regular company events to connect with teammates, and opportunities for continued professional development. Values in Action: These aren’t just principles we print and forget – they’re how we work, how we treat each other, and how we deliver for our customers. They shape the company we are, and the one we aspire to become. - Customers, Always: Everything starts with our customers. We walk in their shoes, speak their language, and build for their delight and success. We win when they win. - Make It Happen: We move fast and take ownership. No waiting, no red tape – just action, urgency, and focus on outcomes. We ask for forgiveness, not permission. - Learn and Invent: We stay curious. We learn what we can from past masters - and make up the rest. Change is constant, and so is our growth. - Act Like Owners: Titles don’t solve problems - people do. We own challenges, break the rules when it’s necessary, and focus on what matters. - Turn It Up to 11: There is no “Good enough”. We raise the bar, push boundaries, and keep building. There’s always a next level. - Lead With Respect: We listen first, speak honestly, and value every perspective. Integrity, follow-through, and kindness matter. - Build Trust Through Transparency: We default to openness. We give feedback, share information, and assume positive intent - no secrets, no silos. AutogenAI is an merit-based equal opportunity employer, drug-free workplace, and complies with ADA regulations as applicable.

• Using Claude by Anthropic and other AI tools to write, debug, and improve code • Scripting with Python, Bash, and related technologies • Working with Docker containers • Deploying applications to cloud and Linux servers • Hands-on Unix / Linux system administration • Building workflow automations using n8n • Integrating APIs and automating business processes