Technical Product Lead

Location: Menlo Park, CA (Hybrid)
Employment Type: Full-Time
Compensation: Competitive salary + equity

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.

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

• 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

• 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

• 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

• 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

• 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.

We receive 300+ applications a week. We want to spend time with the right candidates — and the fastest way to be the right candidate is to show us how you think and build before we ever get on a call.

During the process, you'll meet at least 3 engineers and managers at Glade. The candidates who stand out aren't the ones with the best resumes. They're the ones who did their homework and built something or shared some valuable insight that they recently learned.

Here's what that looks like:

Study what we do. Go deep on our website — understand our product, our customers (the law firms), and the clients those firms serve. Then build something. It doesn't need to be polished. It needs to be real and it needs to show that you thought about Glade specifically.

What to build:

• A small feature — however tiny — that would help a firm using Glade, or their clients who are served through the Glade platform

• Something accessible via a Claude artifact link or hosted on your own server — it needs to be live and shareable

• UI, data extraction, an LLM-powered workflow, a prototype of something useful — use your imagination and build something fun and interesting

• Use of LLMs, Cursor, MCP servers, and AI agents is highly encouraged — this is exactly the kind of tooling we expect you to work with daily in this role

What we're looking for:

We're not grading you on the scope of what you build. We're looking at whether you can take a real problem, make a product decision about what's worth building, and ship something that works. That process tells us more about how you'll perform in this role than anything you could put in a cover letter.

Bring it to your first conversation. Be ready to walk us through what you built, why you built it, and what you'd do next.