Senior Technical Product Manager, Connectors
- Market p25–p75
- $180k–$221k
- Opened · 30d
- +0
- Closed · 30d
- −0
- Opened · 7d
- +1627% of open
- All product
- 8,163open
About LILT
AI is changing how the world communicates — and LILT is leading that transformation.
We're on a mission to make the world's information accessible to everyone, regardless of the language they speak. We use cutting-edge AI, machine translation, and human-in-the-loop expertise to translate content faster, more accurately, and more cost-effectively without compromising on brand, voice, or quality.
At LILT, we empower our teammates with leading tools, global collaboration, and growth opportunities to do their best work. Our company virtues—Work together, win together; Find a way or make one; Dance in the customer's shoes; Quicker than they expect; Quality is Job 1—guide everything we do. We are trusted by Intel Corporation, Canva, the United States Department of Defense, the United States Air Force, ASICS, and hundreds of global Enterprises. Backed by Sequoia, Intel Capital, and Redpoint, we’re building a category-defining company in a $50B+ global translation market being redefined by AI.
About the role
LILT is seeking a Senior Technical Product Manager to own our connector strategy and roadmap, making integrations a reliable, scalable part of our enterprise platform.
Our connectors link LILT with customers’ content management systems, repositories, and business applications, securely moving content, metadata, and workflow status between systems.
You’ll combine strong product judgment, deep integration expertise, and customer-facing leadership to guide the connector portfolio from discovery through launch and ongoing improvement. You’ll work closely with Engineering, Solutions, Forward-Deployed Engineering, Customer Engineering, Customer Success, and customers to turn complex integration needs into scalable product capabilities.
This is a technical product role for someone who can read code, evaluate integration designs, lead validation, and work directly with customers. You’ll also use AI tools and agentic workflows to accelerate discovery, analysis, documentation, and execution while applying your own judgment.
Connectors will be your primary focus. As part of a small Product team, you may take on additional product responsibilities as business priorities evolve.
What you’ll do
Own connector strategy and the roadmap. Set priorities, make tradeoffs, and sequence delivery based on customer needs, business impact, technical constraints, and engineering capacity.
Lead new connectors and capabilities from discovery through launch. Define requirements, validate prerequisites, establish acceptance criteria, and coordinate delivery and customer readiness.
Turn customer implementations into scalable products. Partner with Forward-Deployed Engineering to identify repeatable needs, translate field learnings into product investments, and establish clear handoffs between customer-specific implementations and reusable connector capabilities.
Evaluate technical feasibility. Review third-party documentation, assess integration approaches, and challenge assumptions before engineering commits to delivery.
Own validation and acceptance testing. Develop and execute internal and customer-facing test plans covering integration behavior, file and tag handling, and customer requirements. Document results, defects, and release-readiness decisions in partnership with technical teams.
Drive portfolio reliability. Prioritize high-impact connector issues, establish escalation criteria, and coordinate resolution. Identify recurring failures that require product or platform improvements.
Lead technical customer conversations. Guide discovery, setup planning, scoping, troubleshooting, and readiness discussions, explaining technical constraints clearly to different audiences.
Enable implementation and support teams. Create documentation, runbooks, and guidance that help teams handle routine connector setup and support.
Keep stakeholders aligned. Maintain a clear view of connector status, risks, ownership, priorities, and customer impact.
Use AI effectively. Apply AI tools and agentic workflows to improve the speed and quality of research, scoping, testing, documentation, and troubleshooting.