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Taktile

AI-driven risk workflow platform for finance

Director of Forward Deployed Engineering - NORAM

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeNew York, NY, USA

About the Job

Requirements

  • Have 10 or more years of experience as an Implementation Engineer, Forward Deployed Engineer, Solution Engineer, or equivalent within a B2B SaaS company.
  • Have led large, multi-quarter enterprise implementations involving seven-figure annual recurring revenue and cross-functional teams.
  • Have a strong technical background; preferred fields include Computer Science, Mathematics, Software Engineering, Physics, and Data Science.
  • Have managed a team with at least five direct reports and be able to grow a team.
  • Maintain production-level proficiency in Python and SQL, and fluency with REST APIs, batch data pipelines, and data-warehouse integrations.
  • Be able to work from the New York City office at least three days per week.

Responsibilities

  • Lead a team of 15–20 Forward Deployed Engineers in the NORAM region to deliver signed contracts into production with measurable business value.
  • Own the quarterly go-live annual recurring revenue metric for the NORAM region.
  • Own team operations, including monitoring the signed-contract backlog, managing the implementation pipeline, assigning project staffing, monitoring team capacity, reviewing project milestones, and evaluating and signing off on project outcomes.
  • Scale the FDE-led delivery motion by working with Engineering and Product to build and maintain the FDE tooling library and ensure flexibility, reusability, and maintainability in the FDE operating-system layer.
  • Advocate for the team’s priorities with Product and Engineering leaders and secure resources to unblock and accelerate key implementations.
  • Hire and develop FDEs as the business grows.
  • Act as principal FDE and solution architect on the most complex deployments, owning enterprise, production-grade design.
  • Lead problem-solving sessions with customers’ technical teams and internal engineering teams, bringing technical expertise and authority.
  • Provide Product and Engineering with feedback on product-market fit, product gaps, and enhancements.
  • Remain hands-on with platform configuration, AI-agent training and evaluations, and delivery work when projects require it.

Desired Qualifications

  • Have experience building AI applications within financial services.
  • Have experience applying and optimizing statistical and machine learning models to solve business problems.
  • Have first-hand experience in at least one core use case: business onboarding, business loan underwriting, insurance claim processing, or financial crime, fraud, or anti-money-laundering investigations.
  • Have experience with at least one major cloud platform: AWS, Azure, or Google Cloud Platform.

About the Company

Taktile

AI-driven risk workflow platform for finance

Taktile builds an agentic decision platform for banks and insurers to design, monitor, and automate high-stakes risk workflows such as credit underwriting, claims, fraud, KYC/AML, and onboarding. Its platform uses AI agents that operate under business-owner control to carry out risk tasks, enabling automated decision-making while keeping governance and oversight in the hands of financial institutions. The product is geared toward regulated finance and is designed to integrate into existing workflows, providing monitoring, automation, and control over AI-driven decisions. Taktile differentiates itself by focusing on regulated financial use cases and offering agents that are under business-owner control, backed by a track record with notable customers and significant funding to scale in the US, Europe, and LATAM. The company's goal is to deepen AI solutions for regulated finance and expand its footprint across major markets.

Company size
201-500
Company stage
Series C
Total funding
$188.8M
Headquarters
Berlin, Germany
Founded
2020

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