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Founding Product Engineer Jobs in Raleigh, NC (NOW HIRING)

Deployed Engineer (Raleigh)

Raleigh, NC · On-site

$150K - $250K/yr

... founding/product engineering), ideally in a startup or scale-up * Strong Python, JavaScript and systems fundamentals * Have designed agent-based or LLM-powered applications beyond simple API calls ...

Founding Engineer

Durham, NC · On-site

$200 - $250/hr

About the Role This is a founding engineering position at an early-stage healthtech startup ... on product direction and architecture from day one. What You'll Do * Orchestrate a fleet of AI ...

Product Director - Evinova

Durham, NC · On-site

$200 - $250/hr

This is a founding product leadership role: you will define the vision, strategy, and roadmap for ... Collaborate closely with data science and engineering teams to translate ground breaking AI ...

Product Director - Evinova

Durham, NC · On-site

$225K - $235K/yr

This is a founding product leadership role: you will define the vision, strategy, and roadmap for ... Collaborate closely with data science and engineering teams to translate ground breaking AI ...

Product Director - Evinova

Durham, NC · On-site

$225K - $235K/yr

This is a founding product leadership role: you will define the vision, strategy, and roadmap for ... Collaborate closely with data science and engineering teams to translate ground breaking AI ...

Product Director - Evinova

Durham, NC · On-site

$225K - $235K/yr

This is a founding product leadership role: you will define the vision, strategy, and roadmap for ... Collaborate closely with data science and engineering teams to translate ground breaking AI ...

Product Director - Evinova

Durham, NC · On-site

$225K - $235K/yr

This is a founding product leadership role: you will define the vision, strategy, and roadmap for ... Collaborate closely with data science and engineering teams to translate ground breaking AI ...

Product Director - Evinova

Durham, NC · On-site

$225K - $235K/yr

This is a founding product leadership role: you will define the vision, strategy, and roadmap for ... Collaborate closely with data science and engineering teams to translate ground breaking AI ...

Founding CEO -- Coram

Durham, NC · On-site

$150 - $200/hr

As Founding CEO, you'll co‑found Coram alongside our AI Builders and Partners -- going from idea ... Full studio team support -- across product, engineering, design, and operations * Access to aligned ...

As Founding CEO, you'll co‑found Coram alongside our AI Builders and Partners -- going from idea ... Full studio team support -- across product, engineering, design, and operations * Access to aligned ...

Join a founding team who've shipped products for Autodesk, Electronic Arts, Nike, and Apple. We ... You'll own what gets built in the field, working embedded alongside our Forward Deployed Engineers ...

Quality Engineer

Durham, NC · On-site

$69K - $89K/yr

Since our founding in 2014, our dedicated team has built a world-class operation known for ... Partner with Production, Engineering, Maintenance, and Supply Chain teams to improve manufacturing ...

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Showing results 1-20

Founding Product Engineer information

See Raleigh, NC salary details

$51.5K

$140.1K

$199.3K

How much do founding product engineer jobs pay per year?

As of Sep 9, 2026, the average yearly pay for founding product engineer in Raleigh, NC is $140,050.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,500.00 and $199,300.00 per year, depending on experience, location, and employer.

What is the difference between Founding Product Engineer vs Product Engineer?

AspectFounding Product EngineerProduct Engineer
CredentialsBachelor's or higher in Engineering or related field; startup experience preferredBachelor's or higher in Engineering or related field
Work EnvironmentEarly-stage startups, high-impact, fast-pacedEstablished companies, product teams, collaborative
Industry UsageCommon in startups and new product venturesWidespread across tech and manufacturing sectors
ResponsibilitiesDesigning core product features, building foundational systems, wearing multiple hatsDeveloping, testing, and maintaining product features, collaborating with teams

The main difference is that a Founding Product Engineer typically works in early-stage startups, taking on a broader role in building the product from the ground up, while a Product Engineer generally works in established companies focusing on specific product development tasks.

Are founding product engineers in demand?

Founding product engineers are in high demand, especially in startup environments where technical leadership and product development are critical. They often possess skills in software development, system architecture, and cross-functional collaboration, making them valuable for building and scaling new products quickly.

What does a founding product engineer do?

A founding product engineer is responsible for designing, developing, and launching the initial version of a product, often working closely with founders and cross-functional teams. They typically have skills in software development, product design, and problem-solving, and may use tools like coding languages, prototyping software, and project management platforms during the early stages of product development.

What is a founding product engineer?

A founding product engineer is an early team member responsible for designing, developing, and launching a company's initial products. They often work closely with founders, have a broad skill set, and may influence product direction and technical architecture during the company's startup phase.
Infographic showing various Founding Product Engineer job openings in Raleigh, NC as of September 2026, with employment types broken down into 83% Full Time, and 17% Part Time. Highlights an 66% In-person, 17% Hybrid, and 17% Remote job distribution, with an average salary of $140,050 per year, or $67.3 per hour.

Deployed Engineer (Raleigh)

Raleigh, NC • On-site

$150K - $250K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Key responsibilities

  • Co-architect and co-build production AI agents with customer engineering teams

  • Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations

  • Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows


Job description

About Us
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we're at a stage where we're continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
About the Team
The Deployed Engineering team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on.
This is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite.
Deployed Engineers sit at the intersection of engineering, product, and go-to-market, shaping how LangChain is adopted in the field and feeding real-world insights back into the platform.
About the Role
The Deployed Engineer...You'll work on some of the hardest problems in applied AI - not demos, not research, but systems that real teams depend on in production. The feedback loop is fast, the impact is visible, and the work you do directly shapes how AI agents are built in the real world.
What You'll Do
  • Co-architect and co-build production AI agents with customer engineering teams
  • Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations
  • Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows
  • Advise customers post-sale on architecture, best practices, and roadmap-level decisions
  • Run technical demos, trainings, and workshops for developer audiences
  • Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers
  • Occasionally contribute code upstream when it meaningfully improves customer outcomes

What You'll Bring
  • 3+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, founding/product engineering), ideally in a startup or scale-up
  • Strong Python, JavaScript and systems fundamentals
  • Have designed agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling
  • Are comfortable working directly with customers during POCs, architecture reviews, and technical evaluations
  • Can explain technical tradeoffs clearly and build trust with developer audiences
  • Take responsibility for outcomes, not just recommendations
  • Have a bias toward action and enjoy figuring things out as you go
  • Are excited about operating AI agents in production, not just building demos

Nice to Have's:
  • You've deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks
  • Worked with LLM evaluation, observability, or guardrails
  • Have experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts
  • Have shipped and operated production software and are comfortable owning systems under real-world constraints

Compensation
Annual OTE range: $150,000-$250,000 USD
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.