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

• Serve as a key bridge between digital, creative, and content processes and their automated execution using AI across the entire global Devoteam group. • Design, document, and implement AI-driven marketing workflows, fostering experimentation, and accelerating the adoption of innovative technologies. • Design, build, and optimize automated marketing workflows using low-code/no-code platforms like Make.com or n8n. • Integrate and leverage Large Language Models (LLMs) such as Gemini and Claude to automate content creation and operational processes. • Manage, synchronize, and track marketing data across core platforms, including HubSpot, Salesforce, and corporate social media channels. • Execute and support hands-on creative tasks, including digital copywriting, basic editing, and minor graphic design. • Lead continuous experimentation with emerging AI technologies, tools, and frameworks to keep marketing operations at the vanguard. • Drive "Change Adoption" by mentoring, training, and guiding internal marketing teams to integrate AI into their daily routines. • Collaborate closely with the Group’s Brand & Content Director to ensure strategic alignment, brand consistency, and high visibility of innovation initiatives. • Design and maintain data dashboards to track process efficiency, performance, and the ROI of implemented automations.

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in artificial intelligence and machine learning at PwC will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. Your work will involve designing and optimising algorithms, models, and systems to enable intelligent decision-making and automation. Growing as a strategic advisor, you leverage your influence, expertise, and network to deliver quality results. You motivate and coach others, coming together to solve complex problems. As you increase in autonomy, you apply sound judgment, recognising when to take action and when to escalate. You are expected to solve through complexity, ask thoughtful questions, and clearly communicate how things fit together. Your ability to develop and sustain high performing, diverse, and inclusive teams, and your commitment to excellence, contributes to the success of our Firm. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Craft and convey clear, impactful and engaging messages that tell a holistic story. Apply systems thinking to identify underlying problems and/or opportunities. Validate outcomes with clients, share alternative perspectives, and act on client feedback. Direct the team through complexity, demonstrating composure through ambiguous, challenging and uncertain situations. Deepen and evolve your expertise with a focus on staying relevant. Initiate open and honest coaching conversations at all levels. Make difficult decisions and take action to resolve issues hindering team effectiveness. Model and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. The Opportunity As part of the Data and Analytics Engineering team, you will lead the development of innovative AI solutions tailored for health systems. As a Senior Manager, you will serve as a strategic advisor, leveraging your knowledge to drive project success and operational excellence while fostering productive teams that tackle complex healthcare challenges. Responsibilities - Lead the creation of innovative AI solutions for healthcare systems - Serve as a trusted advisor, utilizing knowledge to enhance project outcomes - Foster collaboration within dynamic teams to address complex challenges - Drive operational excellence through creative problem-solving approaches - Cultivate relationships with stakeholders to promote alignment on project goals - Guide teams in navigating ambiguity and delivering impactful results - Promote a culture of continuous improvement and professional development - Uphold adherence to industry standards and practices in AI implementation What You Must Have - Bachelor's Degree - At least 8 years of experience What Sets You Apart - Demonstrated experience delivering production AI or GenAI use cases in a health system environment - Hands-on experience building RAG pipelines or agentic AI workflows against clinical data sources - Experience with MLOps platforms and model governance practices in regulated, PHI-handling environments - Ability to translate clinical and revenue cycle workflows into structured AI use case requirements - Familiarity with Azure OpenAI Service, AWS Bedrock, or Google Vertex AI in a HIPAA-compliant deployment context - Understanding of population health program design and how AI accelerates outcomes - Proven record of success managing healthcare AI and GenAI solutions - Experience in analytical techniques applied to healthcare use cases - Experience working with data warehouse technology including Snowflake or Databricks The salary range for this position is: $124,000 - $280,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy. Learn more about how we work: https://pwc.to/how-we-work For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines #LI-Hybrid #BI-Hybrid