- Build and lead a high-performing engineering team

- Hire, mentor, and grow engineers who can ship quality work quickly.

- Create a culture of ownership, transparency, and continuous learning.

- You'll manage the team directly and be responsible for their growth, performance, and engagement.

- Drive technical execution of PLG initiatives

- Own the roadmap for free trial onboarding, AI-powered personalization for easier onboarding, plugin ecosystem (Slack, Teams, Salesforce, Office), and developer-focused experiences.

- Ship features that directly impact PQL growth, activation rates, and user engagement.

- Build infrastructure for rapid experimentation

- Our biggest constraint is experimentation velocity.

- You'll architect systems that allow us to test hypotheses quickly - feature flags, A/B testing frameworks, and streamlined release processes.

- Push for shorter feedback loops and data-driven iteration.

- Integrate AI deeply into the product

- Embed LLMs into onboarding flows, personalize user journeys, and power our AI agents with smarter interactions.

- You'll make architectural decisions about prompt engineering, model selection, cost optimization, and reliability.

- Collaborate cross-functionally

- Work closely with Product Managers, Product Marketing Managers, and marketing leads to align on priorities, unblock execution, and communicate tradeoffs clearly.

- You'll influence product strategy, advocate for technical constraints, and ensure engineering has a strong voice in planning.

- Ensure operational excellence

- PLG depends on reliability.

- Trials must provision instantly, plugins must stay functional, and analytics must be accurate.

- Own monitoring, incident response, and the operational health of the PLG stack.

- Think strategically about the future

- Balance today's roadmap with long-term platform thinking.

- Identify technical debt that will slow us down, advocate for infrastructure investments, and position the team for the next phase of growth.

What You Bring :

- 8+ years engineering experience, 3+ years managing teams (ideally managing managers)

- Deep PLG or self-serve product experience where you understand activation metrics, onboarding friction, and what drives conversion

- Full-stack technical fluency across frontend, backend, data pipelines, and integrations

- Hands-on experience shipping AI/ML features in production - prompt engineering, model APIs, cost/latency tradeoffs

- Track record building experimentation infrastructure that increased team velocity

- Strong cross-functional skills - you influence without authority and communicate technical constraints clearly

- Proven ability to ship on time while maintaining quality

- Comfort with ambiguity, iteration, and resourcefulness under constraint

Bonus Points :

- Experience building developer-facing products or platforms

- Previous work at a high-growth SaaS or analytics company

- Familiarity with data instrumentation and analytics tools (Mixpanel, Amplitude, etc.)

- Experience with plugin ecosystems or integration platforms (Slack apps, Salesforce Lightning, etc.)

- Built systems that scale to millions of users