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Forward Deployed Engineering Lead (SF)

Lead the Forward Deployed Engineering team at Doppel, focusing on onboarding enterprise customers and building scalable integration solutions.

Location
San Francisco, United States
Compensation
Not disclosed
Level
lead
Type
full time

Posted by employer 2 days ago

First seen on Joblaze 1 day ago

Last verified on the company career page 1 day ago

Apply at Doppel → Save job Scanned from doppel.com

What you'll build

  • Lead FDE technically
  • Own strategic deployments
  • Build end-to-end solutions
  • Turn field work into product
  • Make deployment increasingly scalable

Must have

  • 6+ years building and shipping production software
  • Technical leadership experience
  • Customer-facing technical depth
  • Experience with enterprise systems

Nice to have

  • Experience with security platforms
  • Product instincts
  • High agency in ambiguity
  • Strong technical judgment and communication
  • AI-native mindset

Role intensity

40% coding

AI in the day-to-day

Experience building with LLMs, agents, or AI-powered workflows is a plus.

Requirements

Experience
6+ years

Not disclosed in this posting: compensation, work arrangement, visa sponsorship.

Joblaze summary

The Forward Deployed Engineering Lead at Doppel is responsible for overseeing the onboarding process for major enterprise clients, ensuring seamless integration with the company's AI-driven security platform. This role requires a strong foundation in software engineering, with expertise in APIs, identity systems, and enterprise infrastructure, as well as experience in technical leadership and customer engagement. Ideal candidates are seasoned engineers who can navigate complex projects while mentoring others and translating customer needs into scalable solutions. As a rapidly growing startup, Doppel emphasizes a collaborative approach, integrating insights from customer interactions into pro

Joblaze insights

  • Listed yesterday — first seen on Joblaze September 23, 2026. Last confirmed on Doppel's careers page September 23, 2026.
  • AI/ML appears in 27.3% of 523 comparable lead management roles in United States; SIEM appears in 0.2% of 523 comparable lead management roles in United States.

Quick facts

How much experience is required?
At least 6 years of relevant experience for this Forward Deployed Engineering Lead (SF) role.
What's the tech stack?
Joblaze extracted these technologies from the posting: AI/ML, APIs, OAuth, SAML, SCIM, SIEM.
What seniority level is this role?
Doppel targets lead candidates for this position.
Is this full-time or contract?
Full-time for this Forward Deployed Engineering Lead (SF) role at Doppel.

From the original posting

What You'll Do

Doppel's Forward Deployed Engineering team owns the onboarding of our biggest enterprise customers as effective and low touch as possible

You'll work directly with our largest enterprise customers alongside GTM and Product to understand their onboarding needs, scope and prioritize technical solutions, and build the end-to-end systems that get customers integrated with Doppel’s core offerings. You'll lead the technical direction of the whole FDE team while staying hands-on with our hardest integrations and most strategic deployments.

As Doppel's customer base and product portfolio expand, you'll help turn what we learn in the field into reusable capabilities that make every future deployment faster and easier.

  • Lead FDE technically. Set technical direction, mentor engineers, unblock complex projects, and raise the engineering bar while remaining hands-on.

  • Own our most strategic deployments. Join customers from technical discovery through production rollout, identifying onboarding friction, scoping solutions, and driving the engineering work required to get them live.

  • Build end-to-end solutions. Architect, build, and debug across APIs, webhooks, SIEM/SOAR platforms, identity systems, email infrastructure, and the broader enterprise security stack.

  • Turn field work into product. Identify patterns across customer deployments and turn bespoke solutions into reusable product and platform capabilities.

  • Make deployment increasingly scalable. Build the systems, automation, and internal tooling that make every new customer faster and easier to launch than the last.

  • Shape the product from the field. Create a tight feedback loop between customers, GTM, Product, and Engineering so what we're learning from our largest customers influences what we build.

  • Help shape FDE's technical boundaries. Develop strong judgment around what FDE should build, what should graduate into core product or platform, and where FDE should partner with other engineering teams.

What we’re looking for

  • Strong software engineering foundation. 6+ years building and shipping production software, with the technical depth to make architecture decisions and contribute directly to the codebase.

  • Technical leadership experience. You've set technical direction, mentored engineers, and driven complex projects while remaining hands-on.

  • Customer-facing technical depth. You've worked directly with complex enterprise customers, can uncover technical needs, and can turn ambiguous problems into scoped production systems.

  • Experience with enterprise systems. You're comfortable working across APIs, webhooks, identity and authentication (OAuth, SAML, SCIM), and enterprise infrastructure. Experience with security platforms or SIEM/SOAR ecosystems is a plus.

  • Product instincts. You recognize patterns across customer needs and know when something should remain customer-specific versus becoming a reusable product or platform capability.

  • High agency in ambiguity. You cut through organizational and technical blockers to get things done. You figure out who to pull in across Sales, Customer Success, Product, and Engineering, chase down missing context, and create the connections and processes needed to move customer problems from ambiguity to production.

  • Strong technical judgment and communication. You can move comfortably between a customer call, system design, debugging with an engineer, and working with Product on what should be built next.

  • AI-native mindset. Experience building with LLMs, agents, or AI-powered workflows is a plus, but we're most interested in engineers who are excited to use AI to change how technical customer work gets done.

Standard company text repeated across Doppel's postings is omitted here.

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