CaptivateIQ

• Develop and execute the engineering strategy for a portfolio of new product initiatives, ensuring alignment with company priorities, customer needs, and long-term platform direction. Help identify new opportunities, shape technical direction, and guide product evolution from incubation through scale, including the thoughtful application of AI to create differentiated customer experiences and workflows. • Recruit, grow, and inspire high-performing engineering organizations. Develop engineering managers and senior technical leaders while fostering a culture centered around ownership, velocity, innovation, and continuous improvement. Design organizational structures and engineering processes that evolve with product maturity. • Guide architectural and organizational decisions that balance speed, scalability, reliability, and long-term maintainability. Stay close enough to the work to identify risks, challenge assumptions, and raise the quality bar across the organization. • Drive alignment, prioritization, and execution across Engineering, Product, Design, and GTM teams. Create clarity in ambiguous environments, make thoughtful tradeoffs, and help teams move quickly while maintaining a high quality bar.

• Own and resolve complex, high-impact customer cases, serving as the primary escalation point and driving thorough, professional resolutions that often require deep cross-functional coordination. • Apply advanced technical expertise to analyze and troubleshoot end-to-end customer data models, reviewing calculation logic, dependencies, and data flows to uncover configuration gaps and root-cause drivers of discrepancies. • Communicate effectively with both technical and non-technical audiences to clarify issues, progress, and outcomes. • Proactively partner with Product, Engineering, and Customer Success to communicate technical issues, close feedback loops, and drive the prevention of recurring problems through systematic fixes. • Develop deep product and domain expertise in CaptivateIQ's platform, data structures, and the broader domain of sales compensation and business logic. • Partner with internal teams to improve workflows, documentation, and tooling that support scalable operations. Identify patterns and recommend process improvements to enhance efficiency and customer experience. • Provide actionable feedback to inform product enhancements and improve usability. • Champion consistency and quality across customer communications. Effectively translate complex technical findings into clear, professional, and actionable insights for both technical teams and non-technical stakeholders. • Lead or significantly contribute to initiatives that enhance support processes, tools, internal documentation, and knowledge sharing to ensure team scalability and efficiency.

• Build an AI-Native Education Engine - Reimagine what enablement and education means in SaaS. • Meet Customers Where They Are - Map the real customer journey, identify highest-friction moments, and close the gap between confusion and clarity. • Inform Product Direction - Surface enablement data and customer friction patterns back to Product as actionable input. • Lead & Grow the Team - Manage and develop a team spanning content, learning experience design, training delivery, and knowledge management. • Measure What Matters - Define success by product adoption, feature utilization, time-to-value, support deflection, and retention influence, not course completions.

• Lead, inspire, and grow a distributed team of Engineers, fostering a culture of high trust and psychological safety. • Contribute to strategic investments in the software engineering lifecycle that will make CaptivateIQ’s developer experience world class. • Partner with engineering teams to improve products by coaching them on testing strategies and leveling up their thinking regarding software quality. • Provide technical direction by setting architectural guardrails for test automation and delivery pipelines across the organization. • Partner with Product, Design, and Engineering leaders to prioritize roadmaps and execute a long-term strategy that optimizes for product health and reliability. • Develop engineering talent through effective coaching, mentorship, and performance management, with a passion for helping engineers advance their careers. • Own the end-to-end delivery of the DE team’s portfolio, ensuring internal solutions and frameworks are reliable and secure at scale. • Act as a strong advocate for our engineering best practices, explaining the "why" behind different methodologies to various stakeholders across the company. • Champion inclusive, async-first practices to ensure the team, distributed across Poland and other regions, can collaborate effectively.

• Act as an escalation point for the IT support queue, handling complex issues across endpoints, identity, and core SaaS applications (e.g., Google Workspace, Okta, Slack, Zoom, Atlassian). • Coordinate response efforts for IT incidents and outages, including troubleshooting, communication, and post-incident follow-up. • Manage internal user accounts, groups, and access (joiners/movers/leavers) across identity and critical SaaS systems. • Own and continuously improve onboarding and offboarding workflows in partnership with People, Security, and Hiring Managers. • Deploy, administer, and maintain IT systems and services (e.g., MDM, endpoint security, Zero Trust, collaboration tools, AI platforms, asset inventory). • Manage MDM-controlled endpoints (laptops and other devices), including provisioning, compliance policies, and OS / app updates. • Implement and maintain automations and workflows that minimize manual efforts in provisioning, access changes, and common support requests. • Implement and operate IT controls that support company security and compliance requirements (e.g., SOC 2, ISO 27001), including access reviews, asset management, and endpoint standards. • Partner with Security on evidence collection, control operation, and remediation of IT-related audit findings. • Ensure IT policies, standards, and runbooks are followed and kept current; contribute to drafting and improving these documents. • Construct and maintain IT guides, runbooks, and knowledge base articles for both end users and IT peers. • Collaborate with cross-functional teams (Security, Engineering, People, Finance, CX) on IT-related projects such as new tool rollouts, license rationalization, and process redesign. • Identify issues, define OKRs, and deliver end-to-end solutions that measurably improve reliability, security, or user experience. • Stay current on IT trends and emerging technologies; propose pragmatic improvements to our environment.

• Work closely with customers and other members of the Customer Experience team to deliver best-in-class professional services to our customers • Lead, manage and complete implementation and other customer projects • Become an expert in using CaptivateIQ • Expand your understanding of sales commission structures and design best-practice calculation configurations within CaptivateIQ • Understand customer plan requirements and design system configurations maximizing modeling efficiency and repeatability • Configure and test implementations based on customers’ unique needs • Confidence and experience to step into any technical situation to support customer or consultant teams and provide best-in-class recommendations • Highly skilled at prioritization for self and others' expectation management, and practicing project management methodology • Ability to scope new implementation or post-implementation services and support negotiations. • Leads customer onboarding to CX or new engagement post go live. Ensure successful handover between the different cross-functional teams and the consultant teams assigned to the project. • Proactively defines, adopts, and follows team and company best practices and processes at all

• Set the multi-year technical strategy for AI platform development, partnering with senior EPD leadership on long-term vision • Architect foundational AI systems that serve multiple product teams, including LLM orchestration frameworks, MCP infrastructure, and agent patterns • Own technical decisions with organization-wide impact where the right answer is ambiguous or contested • Define engineering-wide quality standards and best practices for AI development, establishing patterns that scale across teams • Drive technical alignment across the Agentic SDK team and product teams consuming AI capabilities • Invest deeply in coaching P4 engineers, helping them develop toward staff-level scope and strategic thinking • Represent CaptivateIQ's technical perspective in industry discussions, open-source contributions, or technical publications

• Design and implement AI-powered features end-to-end, from React frontends through Python services to LLM integrations • Build and maintain components of our Agentic SDK, enabling other engineering teams to leverage AI capabilities • Develop LLM orchestration workflows, including prompt engineering, tool calling, and agent design patterns • Implement MCP integrations and knowledge systems, connecting LLMs to tools, databases, and external services • Partner with product teams to translate requirements into technical solutions, delivering quarterly milestones on time with high quality • Contribute to technical design discussions and code reviews, helping establish best practices for AI development • Participate in team culture and hiring, including conducting interviews for engineering candidates

• Gather and analyze data to determine learning needs and outcomes • Design and build role-based, product-specific learning paths across multiple CaptivateIQ products and user personas. • Develop high-quality asynchronous learning experiences, including courses, in-product walkthroughs, scenario-based modules, assessments, and job aids. • Translate complex product functionality, data flows, and incentive workflows into clear, scalable learning experiences. • Become a product expert by working hands-on with the CaptivateIQ application and related workflows across our product suite. • Own release-aligned content updates by partnering closely with Product to add, revise, or retire learning assets as features evolve. • Turn common implementation patterns, UAT scenarios, and troubleshooting themes into structured, repeatable async education that reduces Support/PS/CS volume. • Develop and maintain core customer learning journeys (e.g., Builder, Maintain, Finance) in our learning platform, ensuring clear progression from foundations to advanced topics. • Establish and maintain instructional design standards, templates, and patterns to ensure consistency across learning paths and products. • Collaborate cross-functionally with Customer Success, Support, Professional Services, Product, Revenue Operations, and Finance to identify learning goals, outcomes, and source content. • Measure ROI and learning effectiveness using data and analytics (course engagement, assessments, behavioral, and support signals). Use data to continuously improve engagement and outcomes. • Optimize learning technologies (LMS, in-product education, authoring tools) to support scalable distribution, tracking, and reporting. • Contribute to the long-term education roadmap as we expand into additional products, workflows, and personas. • As appropriate, mentor and coach peer content developers to improve instructional design and development skills.

Role Description 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. 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 Qualifications - 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.