Technical Product Lead

Glade•Menlo Park, CA

9d•Hybrid

About The Position

At Glade AI, we believe legal professionals and service providers deserve technology that makes their work easier, not harder. Our AI-driven platform simplifies business workflows, reduces manual effort, and removes confusion, so firms can focus on delivering greater impact to the clients who count on them. The Opportunity Glade is hiring a Technical Product Lead — a problem solver who will own the experience of adopting and implementing Glade. You'll sit at the intersection of product, engineering, client success, and customer support, responsible for making the platform easier to adopt, easier to use in day to day operations, and easier to succeed with. Product and engineering is tightly coupled at Glade, and you’ll join as part of that team. You'll ship code, but your primary leverage is guiding a vision toward the things that matter most for our customers. You'll work directly with our Client Success and Support teams to understand what firms need, then drive product experiences that deliver it. Your focus areas: Product ease of use — relentlessly simplify the platform through the eyes of every firm Onboarding & activation — build AI-assisted experiences that get firms to value fast Observability — instrument the product so we know where firms succeed, struggle, or expand Customer success through product — drive firm outcomes through cutting-edge product experiences, not services

Requirements

3+ years shipping B2B software as a product manager or product-oriented engineer, ideally in SaaS or workflow automation. You're technical enough to decide what to build, ship it yourself when it makes sense, or work with engineers to get it done. You understand how systems are architected and can talk to engineers as a peer.
Deep, hands-on fluency with modern AI tooling. This is not optional. You use AI agents and MCP servers in your actual day-to-day work — not as experiments, but as part of how you think, prototype, analyze, and build. You know what these tools are good at and where they fall short.
Experience designing and shipping AI-powered features — agents, document processing, automation, structured extraction. You've made real product decisions about where AI belongs in a workflow and where it doesn't.
Strong cross-functional coordination across engineering, design, and client-facing teams. You know how to drive alignment without authority and see projects through to completion.
Comfort in early-stage, high-ambiguity environments. You define the path and have enough conviction in the decisions to lead a developer or a team of developers through product execution and then deployment through to customers.
Product thinking grounded in engineering reality: You can look at a problem and see the product it should become — and you know what it'll actually take to build it.
Systems mindset: You think in states, edge cases, and failure modes — not just happy paths.
AI fluency (demonstrated, not claimed): You work with AI agents and MCP servers as everyday tools. You prototype with them, analyze with them, design with them. You can walk through specific workflows you've built and explain why they work. We highly encourage you to share these during the interview process.
Client empathy without losing sight of scale: You can sit with a firm, understand what they need, and translate it into something that works for every firm — not just that one.
Clear, direct communicator: You write simply, get to the point, and can explain a complex system to a client, an engineer, and a CEO in the same meeting.
You build product solutions, not workarounds.
Ownership. You see things through. You don't hand off and hope.
Show, don't tell. You'd rather demonstrate how you work than describe it.
Growth mindset. Ambiguity energizes you. Feedback sharpens you. Fast-moving environments suit you.
You're genuinely excited about AI and believe it will reshape how legal professionals work — not as a talking point, but as something you act on every day.

Responsibilities

Drive product quality across the customer journey
Own the firm experience from signup through go-live and beyond — onboarding, configuration, daily usage, and expansion
Identify friction and opportunity across the platform and turn them into product improvements
Build observability into the product so the team can see (not guess) where firms get the most value
Guide engineering and design priorities
Translate customer insight into prioritized, well-scoped product and engineering work
Partner with engineers as a peer — you understand systems architecture and can make real tradeoffs
Ship improvements that compound: every gain in product quality raises the bar for every firm
Bridge product and client-facing teams
Work directly with Client Success and Support to close the loop between customer needs and product capabilities
Surface patterns across firms and turn them into features that scale
Ensure the product — not people — is the primary driver of firm success
Ship selectively, build with AI
Write code when it's the fastest path to learning or shipping — prototypes, tools, AI agents, automations
Design and build AI-powered features where they genuinely reduce effort — document processing, workflow suggestions, guided configuration
Know where AI belongs in a workflow and where it doesn't