Jobs · Engineering

Senior Software Developer – API & Partner Integrations

Datasite · United States · 1 wk ago
RemoteRemoteEngineering$99k–$173k/yrFull-time

Job Description

As a Senior Software Engineer - API & Partner Integration at Datasite, you lead projects, drive technical decisions, and build scalable platform systems with an AI-first mindset. You balance business context, customer impact, and long-term platform health while enabling intelligent, API-driven experiences and partner integrations (e.g., MCP, marketplace, and discovery services).

  • Balances business context, customer impact, and long-term platform health
  • Builds scalable platform systems with an AI-first mindset
  • Drives technical decisions that incorporate AI-enabled capabilities into core platform services and partner integrations
  • Partner with Product and leadership to develop flexible roadmaps aligned to Datasite strategy while adapting to fast-evolving AI and partner opportunities
  • Drive architectural improvements that scale AI workloads, reduce operational overhead, and improve reliability across APIs and platform services
  • Maintain adaptable technical plans, enabling rapid iteration in uncertain, high-velocity environments

How We Work Together

  • Strategic Technical Leadership
  • Guide technical decisions that incorporate AI-enabled capabilities into core platform services and partner integrations
  • Partner with Product and leadership to develop flexible roadmaps aligned to Datasite strategy while adapting to fast-evolving AI and partner opportunities
  • Drive architectural improvements that scale AI workloads, reduce operational overhead, and improve reliability across APIs and platform services
  • Maintain adaptable technical plans, enabling rapid iteration in uncertain, high-velocity environments

Cross-Team Collaboration & Influence

  • Identify and drive cross-platform improvements (Dev Portal, Marketplace, MCP, API standards) that enhance developer and partner experiences
  • Drive the evolution of Datasite's Marketplace ecosystem, including partner onboarding, discovery experiences, integration standards, and developer enablement
  • Collaborate across Engineering, Product, and partner teams to deliver AI-first, integration-ready solutions
  • Communicate complex concepts clearly, translating AI and platform design trade-offs for diverse stakeholders
  • Provide technical guidance that ensures alignment, simplicity, and consistency across teams and integrations

Problem Solving & Overcoming Obstacles

  • Evaluate trade-offs across speed, cost, accuracy, and scalability, especially in AI-enabled and partner-driven solutions
  • Simplify systems and drive down technical debt while supporting rapid experimentation and delivery
  • Own ambiguous challenges, particularly in new partnership integrations and emerging AI use cases, and drive them to resolution
  • Apply strong diagnostics to identify root causes and deliver resilient, maintainable solutions

Mentorship & Growth

  • Mentor engineers through coaching and feedback, including adoption of modern and AI-assisted development practices
  • Support team growth by promoting continuous learning, experimentation, and adaptability
  • Foster a culture of psychological safety, collaboration, and shared ownership
  • Help raise the bar in hiring, ensuring alignment with Datasite’s technical and cultural expectations

Ownership & Accountability

  • Own end-to-end design and delivery of platform services, APIs, and AI-enabled capabilities, including partner integrations
  • Build systems with strong observability, resilience, and performance characteristics, especially under variable AI workloads
  • Track progress, manage risk, and adapt plans while maintaining a bias for action and high-quality execution
  • Ensure new partnerships are delivered with care, reliability, and ingenuity, balancing speed with long-term sustainability

What We’re Looking For

  • Strong experience building and operating scalable distributed systems and APIs
  • Experience or exposure to AI/ML technologies (LLMs, embeddings, automation workflows, etc.)
  • Ability to ramp quickly on new technologies and domains, especially in AI and partner ecosystems
  • Proven success leading work in ambiguous, fast-moving environments
  • Excellent collaboration, communication, and cross-team influence

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