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Deployment Lead, FDE (TOR)

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

Location
Toronto, ON
Compensation
Not disclosed
Level
lead
Type
full time

Posted by employer 1 month ago

First seen on Joblaze 1 month ago

Last verified on the company career page 2 hours 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
  • Strong technical judgment and communication

Nice to have

  • Experience with security platforms
  • Experience building with LLMs
  • AI-powered workflows

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 software engineering background, with expertise in APIs, identity systems, and enterprise security infrastructure, as well as experience in technical leadership and customer engagement. Ideal candidates will have a knack for transforming field insights into scalable solutions and possess the ability to navigate complex technical challenges. As a rapidly growing startup, Doppel emphasizes collaboration across teams to enhance its product offerings.

Joblaze insights

  • Listed about a month ago — first seen on Joblaze September 23, 2026. Last confirmed on Doppel's careers page November 8, 2026.
  • OAuth appears in 2% of 50 comparable lead management roles in Canada; AI appears in 2% of 50 comparable lead management roles in Canada.

Quick facts

How much experience is required?
At least 6 years of relevant experience for this Deployment Lead, FDE (TOR) role.
What's the tech stack?
Joblaze extracted these technologies from the posting: AI, 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 Deployment Lead, FDE (TOR) role at Doppel.

From the original posting

What You'll Do

Doppel's Forward Deployed Engineering team plays a critical role in bringing our largest, multimillion-dollar enterprise customers into production. You'll tackle some of the hardest technical challenges behind these deals, integrating Doppel into complex security environments and making our products critical to customer operations.

As FDE Lead, you'll work directly with customers, GTM, Product, and Engineering to turn ambiguous problems into production-ready solutions. You'll own technical direction, scope solutions, make architecture decisions, and bring the right people together to execute.

This is a high-ownership role combining the pace and autonomy of a startup with the complexity of Fortune 500 customers. You'll solve real customer problems end-to-end, shape how Doppel delivers enterprise solutions, and turn what you learn in the field into scalable product capabilities.

  • Own enterprise delivery end-to-end. Embed with strategic customers to map workflows, define technical requirements and success criteria, and drive deployments from discovery through production and adoption.

  • Lead technical execution. Set engineering direction for the FDE team, make architecture and prioritization decisions, manage dependencies, and unblock engineers to deliver against customer goals.

  • Build solutions that work in production. Stay hands-on architecting and shipping integrations across APIs, SIEM/SOAR platforms, identity systems, email infrastructure, and enterprise security workflows.

  • Drive measurable customer outcomes. Partner with GTM and customer teams to remove onboarding friction, accelerate time-to-value, and ensure deployments deliver lasting value.

  • Turn customer challenges into scalable product. Drive 0→1 solutions through production, identify recurring patterns, and translate field insights into reusable platform capabilities and product priorities.

  • Define how FDE scales. Establish the technical standards, automation, and operating practices that enable the team to support increasingly complex customers without increasing deployment effort proportionally.

What We're Looking For

  • Strong software engineering foundation. 6+ years building production software, with the technical depth to architect systems, evaluate tradeoffs, and contribute directly to code.

  • Technical leadership and execution. Experience leading engineers and owning complex technical initiatives, from setting direction and sequencing work to managing dependencies and driving delivery.

  • End-to-end customer ownership. You've worked directly with enterprise customers to understand their workflows, translate business needs into technical plans, and deliver solutions that achieve measurable outcomes.

  • Enterprise integration experience. Experience building across APIs, webhooks, identity and authentication (OAuth, SAML, SCIM), and enterprise infrastructure. Familiarity with SIEM/SOAR platforms or security ecosystems is a plus.

  • Exceptional ownership and judgment. You navigate ambiguity, anticipate blockers, make difficult prioritization decisions, and bring the right teams together to move complex problems forward.

  • Product and systems thinking. You balance immediate customer needs with long-term scalability, recognizing when custom solutions should become reusable product capabilities.

  • Strong cross-functional communication. You can lead technical conversations with customers, align stakeholders on tradeoffs, and coordinate execution across Engineering, Product, and GTM.

  • AI-native mindset. Experience with LLMs, agents, or AI-powered workflows is a plus, along with an interest in applying AI to improve enterprise deployments and technical workflows.

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

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