Manager, Software Development (Tech Lead) (AI)
Мэтч & Сопровод
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Описание вакансии
TL;DR
Manager, Software Development (Tech Lead) (AI): Leading a distributed team of senior engineers to build shared platform services and core AI capabilities for a SaaS business with an accent on FedRAMP compliance and AI-first engineering workflows. Focus on scaling shared APIs, model integration patterns, and driving the adoption of AI tools across the engineering organization.
Location: 100% remote anywhere in the US (Must be a U.S. Citizen or U.S. Permanent Resident)
Company
is a leader in data integrity, providing software and data enrichment products to over 12,000 global organizations, including 95 of the Fortune 100.
What you will do
- Lead, coach, and grow a team of internationally dispersed senior/principal engineers through 1:1s and performance management.
- Build and scale common SaaS platform services, including shared APIs, identity, orchestration, and reliability capabilities.
- Define and deliver core AI capabilities in production, focusing on service abstractions, model integration, and observability.
- Establish AI tooling standards and lead the cultural transition toward an AI-first development workflow.
- Collaborate with Product Managers to shape product vision, define roadmaps, and align technical strategy with business outcomes.
- Coordinate the management of Foundation FedRAMP services to maintain and evolve the product's compliance posture.
Requirements
- 7+ years of software development experience, with 5+ years as a Senior Engineer and 2+ years in a technical leadership role.
- Must be a U.S. Citizen or U.S. Permanent Resident due to FedRAMP/Government Cloud access requirements.
- Proven success in a player-coach leadership role within SaaS or platform engineering environments.
- Proficiency in modern programming languages such as Python, TypeScript, or Golang.
- Experience with cloud-native architecture, distributed systems, and FedRAMP-compliant environments.
- Ability to manage internationally dispersed teams and drive cross-team technical standards.
Nice to have
- Expertise in establishing engineering operating models for AI-enabled product development.
- Experience leading senior engineering teams in fast-paced SaaS organizations.
- Advanced knowledge of cloud-native architecture and platform reliability.
Culture & Benefits
- Work-from-anywhere culture within a distributed global environment.
- AI-first organization that encourages the use of generative AI tools to accelerate work and improve quality.
- Commitment to continuous career development, growth, and learning opportunities.
- Corporate values centered on Openness, Determination, Individuality, and Collaboration.
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