Pear VC Logo

Pear VC

Founding Forward Deployed Engineer

Posted One Month Ago
In-Office
New York City, NY, USA
Entry level
In-Office
New York City, NY, USA
Entry level
Own complex enterprise AI deployments from discovery through production. Work directly with customers to understand undocumented workflows, build integrations, workflows, tooling, and product capabilities, and debug deployment blockers across voice, messaging, APIs, data, LLMs, and orchestration systems. Convert one-off solutions into reusable product and infrastructure primitives. As the function grows, establish deployment playbooks, hire and lead the Forward Deployed Engineering organization, and coordinate with Product, Engineering, Sales, and Customer Success.
The summary above was generated by AI
Founding Forward Deployed Engineer

New York City · In Person · Travel Required

ABOUT FRONTDESK

Frontdesk is building AI workers that run customer operations across voice, text, email, and chat.

Over the last year, the size of the contracts we've been closing has increased roughly 10x, with several enterprise deals now reaching six figures and beyond.

At that scale, deployment stops being simple.

Our largest customers need custom integrations, complex workflows, outbound orchestration, legacy systems connected, and dozens of edge cases handled before AI can actually run meaningful parts of their business.

We're looking for the person who wants to own that problem.

THE ROLE

We're hiring our Founding Forward Deployed Engineer.

You will take our hardest enterprise customers from:

"We want Frontdesk to do this" → "It's live in production."

There won't always be a playbook.

You might fly to a customer's office, sit with their operators, understand a workflow nobody has documented properly, design the solution, and then build the missing integration or product capability yourself.

You won't throw requirements over the wall to another team. You'll work directly in the codebase and own the outcome.

And once it works, you'll ask the most important question:

How do we make sure we never have to build this from scratch again?

You'll take what you learn in the field and turn it into reusable Frontdesk product, infrastructure, and deployment primitives.

WHAT YOU'LL DO
  • Own our largest and most technically difficult enterprise deployments.

  • Work directly with customers to understand how their businesses actually operate.

  • Build integrations, workflows, internal tooling, and product capabilities needed to get them live.

  • Travel onsite when being in the room helps us solve the problem faster.

  • Work across voice, SMS, email, chat, APIs, data, LLMs, and workflow orchestration.

  • Debug whatever is blocking a deployment, even when the problem sits outside Frontdesk.

  • Identify patterns across customers and turn one-off solutions into scalable product.

  • Work closely with the founders and engineering team on what Frontdesk should build next.

THIS IS A FOUNDING ROLE

We expect this to become a major function inside Frontdesk.

At first, you'll be extremely hands-on. You'll write code, work with customers, and personally own deployments.

As we scale, we expect you to build and eventually lead the Forward Deployed Engineering organization.

That means defining how we deploy enterprise AI, hiring the team, building the playbooks, and determining how Forward Deployed Engineering works with Product, Engineering, Sales, and Customer Success.

We're looking for someone who doesn't just want a job.

We're looking for someone who wants to build something from zero, own a massive surface area, and eventually lead the organization they create.

YOU MIGHT BE A FIT IF YOU
  • Are a strong software engineer who wants more ownership than a traditional engineering role provides.

  • Love talking to customers and solving real problems, not just working from tickets.

  • Are comfortable jumping across the stack and learning whatever is necessary.

  • Have strong product intuition and naturally think about how to generalize what you build.

  • Thrive when the problem is ambiguous and there is no existing playbook.

  • Move extremely quickly and take personal ownership over outcomes.

  • Would rather own an entire problem than a small piece of a large system.

  • Could see yourself founding a company someday, or already think like a founder.

Similar Jobs

5 Days Ago
Hybrid
New York, NY, USA
Entry level
Entry level
Artificial Intelligence • Fintech • Automation
Own enterprise customer onboardings from signed agreement through stable production launch. Integrate ERP and CRM systems, clean and reconcile messy financial data, ship production TypeScript integrations, improve AI agent prompts and evaluations, and convert customer learnings into product improvements and scalable onboarding playbooks. The role combines software development, customer-facing technical ownership, and building the company’s forward-deployed engineering function.
Top Skills: Ai AgentsHubspotLlmsNetSuiteNext.JsOauthPostgresQuickbooksSalesforceSQLSupabaseTailwind CssTypescriptVercel
21 Days Ago
In-Office
New York, NY, USA
180K-250K Annually
Mid level
180K-250K Annually
Mid level
Artificial Intelligence • Machine Learning • Sales • Software
Own customer deployments from data access through trusted, outcome-driven systems. Responsibilities include exploring undocumented data warehouses, defining business ontologies, building agent-powered signals and workflows, validating outputs, diagnosing failures, measuring customer outcomes, and turning deployment learnings into reusable tooling. The role requires strong customer collaboration, technical judgment, SQL and dbt fluency, applied data science literacy, and comfort with ambiguity. This is a fully in-office position in New York City.
Top Skills: Ai AgentsData ScienceData WarehousesDbtEvaluation HarnessesSQLValidation Frameworks
22 Days Ago
Remote or Hybrid
USA
120K-150K Annually
Senior level
120K-150K Annually
Senior level
Edtech • HR Tech • Software
Founding Forward Deployed Engineer who partners with enterprise customers to identify AI opportunities, design and deploy autonomous agents, and convert custom solutions into scalable platform capabilities. The role owns the full lifecycle from discovery and architecture through production deployment, monitoring, and optimization. It also establishes FDE processes, playbooks, team culture, technical roadmaps, and cross-functional operating practices.
Top Skills: AWSDatadogGitlabKubernetesNext.JsOpentofuReactTypescript

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account