Technical Product Manager at Align Labs
At Align Labs (alignlabs.xyz), we build intelligent systems, AI-powered tools, and data platforms that help ventures scale faster and smarter. From real-time analytics to generative agents, we operate at the frontier of applied AI—designing products that power discovery, creativity, and growth across markets. We’re rethinking digital transformation with our collaborators and shipping production-grade AI, not demos. We are building a lean team with agile capabilities and more agency.
You’ll be the connective tissue between product, engineering, data, and design—owning the what and the how. You’ll translate ambiguous problems into clear product specs, sequence delivery with pragmatic roadmaps, and run execution with engineering precision. If you’re equally comfortable writing a PRD, debating RAG architectures, grooming backlogs, and closing the loop on GTM—this is for you. At the same team the candidate should have experience building software or atleast have built using low/no code tools.
What you'll do
Own the Problem→Solution cycle: Customer discovery, problem framing, KPI definition, success metrics.
Author crisp PRDs & specs: Requirements, edge cases, data contracts, acceptance criteria, tracking plans.
AI Product Systems: Scope features for RAG pipelines, embeddings, agents, personalization, and data apps; balance feasibility vs. impact.
Roadmaps & Prioritization: Translate strategy into outcomes and iterative releases (now/next/later), run tight change control.
Data-informed decisions: Define experiment design, instrumentation, dashboards; drive decisions via metrics.
GTM & Partner Enablement: Launch plans, pricing/packaging inputs, docs, demos, and training for stakeholders.
Run the cadence: Standups, sprint planning, reviews, retros; unblock teams and drive accountability.
Scope & Resources: Break down epics, capacity plan, manage external partners/contractors when needed.
Risk & Quality: RAID logs, delivery risks, non-functional requirements (latency, reliability, privacy).
Compliance-friendly ops: Ensure data governance, privacy, and secure release management with DevOps/MLOps.
Documentation that scales: Architecture diagrams, runbooks, decision logs, API specs, postmortems.
Skills and Toolkit
Product + Tech hybrid: 2–5 years across product/TPM/PM/Eng or DS; you’ve shipped backend/AI or data products.
AI/ML fluency: Practical grasp of RAG, embeddings, vector DBs (Pinecone/Weaviate), model serving, evaluation.
Data & Platforms: SQL/NoSQL, event pipelines, analytics (Mixpanel/GA4/Snowflake/DBT), API-first thinking.
Software delivery: Comfortable with Jira/Linear, CI/CD, Docker/K8s, cloud (AWS/GCP/Azure).
Communication: Writes tight PRDs, clarifies trade-offs, keeps stakeholders aligned.
Bias to build: You prototype, de-risk, and ship—fast.
GenAI product experience (agents, prompt/retrieval evaluation, guardrails, content safety).
Multimodal (text/voice/vision) or recommendations/search experience.
Startup/venture studio background; partner/API ecosystems.
KPI's and and responsibilities
Clarity: Live roadmap with quantified bets and clear acceptance criteria.
Velocity: 2–3 high-impact releases shipped (or equivalent pilot milestones).
Quality: Baseline SLOs for latency/reliability; analytics and tracing in place.
Impact: Movement on 1–2 core product KPIs (e.g., query success rate, task completion, activation).
Rituals: Predictable sprint cadence, decision logs, and risk tracking established.
Stand up a city-scale RAG layer (doc pipelines, eval harness, feedback loops, latency SLOs).
Ship a Partner API with usage analytics, quotas, and webhooks.
Launch auto-tagging & recommendations for creator/venue discovery with offline evals + online A/B.
Build real AI systems used across multiple ventures.
Send your LinkedIn, portfolio/GitHub, and a brief note on the most complex product you’ve shipped to build@alignlabs.xyz.
(If available, include a PRD or system diagram you’re proud of.)