Senior Software Engineer - AI Platform (East Coast)

CaptivateIQ is transforming the way companies plan, manage, and optimize sales performance. We started by revolutionizing incentive compensation management, and now we're expanding our platform to solve broader enterprise performance management challenges. Recognized by industry analysts like Forrester and G2 and backed by top-tier investors, including Sequoia, ICONIQ, Accel, and Sapphire Ventures, we empower high-growth companies like Netflix, Figma, and Stripe with the flexibility and insights needed to drive revenue performance.

Join a talented, fast-growing team committed to solving some of the most complex and impactful problems in sales performance management.

About the Role

CaptivateIQ is building AI capabilities that will transform how enterprises manage sales performance. We're looking for a **Senior Software Engineer** to join our Agentic SDK team, an internal developer platform that enables product teams across the company to build AI-powered features.

This is a technical leadership role on a small, high-impact team. You'll own the technical roadmap for complex AI projects, making architectural decisions that shape how AI gets built across the organization. Working across the full stack, from React/TypeScript frontends to Python backends and LLM orchestration systems, you'll define patterns and best practices that other engineers will follow.

You'll lead by example: shipping high-quality code, mentoring teammates, and making challenging technical decisions when the path forward isn't clear. As one of five engineers pioneering AI at CaptivateIQ, you'll have direct influence on team-level outcomes and accountability for alignment to our technical strategy.

This is a greenfield opportunity with outsized impact. You'll help establish the foundations of our AI platform while coaching P3 engineers and contributing to the engineering culture that will scale with the company.

Job Location

Remote - US

Responsibilities

• Define and own the technical roadmap for complex AI platform initiatives, driving semi-annual and annual milestones
• Architect and implement production-grade LLM orchestration systems, including agent frameworks, tool calling, and multi-step reasoning workflows
• Design MCP integrations and knowledge management systems, including tool orchestration, embedding strategies, and context optimization
• Lead technical design for cross-functional AI features, making challenging decisions when trade-offs are unclear
• Establish coding standards, review practices, and architectural patterns for AI development across the Agentic SDK team
• Coach and mentor P3 engineers, helping them grow toward senior-level scope and autonomy
• Partner with product teams to translate ambiguous business needs into technical solutions, ensuring alignment to company strategy

Requirements

• 5+ years of professional software engineering experience with demonstrated progression into technical leadership
• Deep proficiency in Python with experience architecting production backend systems (Django strongly preferred)
• Strong frontend development skills with React and TypeScript, including experience with complex state management
• Significant hands-on experience with LLM APIs and building orchestration systems (agent workflows, tool calling, multi-step reasoning)
• Experience designing and implementing MCP integrations, including tool servers, embedding models, and context management strategies
• Track record of defining technical roadmaps and leading projects from conception through delivery
• Experience mentoring engineers and elevating team technical practices
• Strong ability to make decisions under ambiguity and communicate technical trade-offs to stakeholders
• Demonstrated curiosity and continuous learning in the rapidly evolving AI/LLM space

Bonus Points

• Experience building internal developer platforms, SDKs, or shared AI/ML infrastructure
• Familiarity with LLM orchestration frameworks (LangChain, LangGraph, or equivalent)
• Deep expertise in agent architectures: multi-agent systems, tool use, planning algorithms, or memory systems
• Experience with prompt optimization, evaluation frameworks, or LLM observability tools (LangSmith, Weights & Biases)
• Background in building AI features that shipped to enterprise customers
• Experience at a B2B SaaS company scaling from Series B through growth stage
• Familiarity with sales performance, commissions, or financial software domains
• Contributions to AI/ML open-source projects or technical publications

Benefits

• Comprehensive Healthcare: 100% coverage for medical, dental, and vision for all FTEs, with roughly 75% coverage for dependents.
• Flexible Time Off: Flexible vacation days plus quarterly mental health days to ensure you have the space to recharge.
• Annual Stipends: Dedicated funds for your professional development and caretaking needs.
• Work Anniversary Bonuses: Annual bonuses to celebrate your milestones and contributions to the CaptivateIQ team that grow as your tenure does.
• Retirement Savings (US-Only): A 401(k) plan to help you invest in and secure your future.
• Premium Tools: The latest Apple hardware to empower you to do your best work.
• Inclusive Community: Active Employee Resource Groups (ERGs) that celebrate shared identities and support our DEI goals by fostering an environment where diverse talent thrives.

Notice to Prospective Candidates:

• Only emails from @captivateiq.com should be trusted.
• We are aware of active recruitment scams using the CaptivateIQ name, in which individuals pose as our recruiters and post fake remote job openings and make fake job offers on the Internet. Please note, we will never do the following:Attempt to correspond with a candidate using a free web-based account, such as an email address that ends in @gmail.com, @yahoo.com, @hotmail.com, etc.
• Make an offer of employment without conducting multiple rounds of interviews face-to-face using secure video-conferencing technology.
• Ask candidates to cash checks to buy equipment on behalf of CaptivateIQ.
• Ask candidates to make a payment in order to be considered for a position.
• Make early requests for candidates' personal information such as date of birth, passport details, credit card numbers, bank details and social security number, etc.
• Please note that we’ll only ask for more sensitive personal information in connection with background checks after an offer is made.
• Participate in an on-call rotation to provide after-hours support, ensuring timely resolution of critical issues and maintaining system uptime.