About Inlet

AI timekeeping for legal professionals.

Tech description:

We're an applied AI company. Much of what we do is building LLM pipelines that turn messy work artifacts - calendars, emails, documents, browser activity - into clean, defensible time entries that lawyers can actually put on an invoice. Some of the interesting problems we're solving: - **Inference under ambiguity.** In real-world environments, billable work can be difficult to classify. We have to reconstruct what an attorney did, for which client, for how long, from sparse and noisy signals. - **Trust and explainability.** An attorney won't submit a time entry they can't defend to a client or a judge. Every suggestion we make has to be inspectable, editable, and traceable back to the underlying evidence. - **The long tail of legal practice.** Billing conventions vary by practice area, firm, and even across individuals. We can't ship one rigid system - it has to adapt to how each firm actually works. **Stack:** Python / React, Postgres, & GCP. We lean heavily on Claude Code and Codex in our engineering workflow, and we've built a lot of internal tooling to run our go-to-market. We're a small team and the surface area is wide - engineers ship across the stack, talk directly to customers, and own problems end to end.

Job description:

Inlet builds automated timekeeping for law firms. We're YC S23, post-product-market-fit, and growing extremely fast with a strong mix of outbound and inbound. We're hiring our first dedicated sales FTE - someone who wants to make a huge impact on top-of-funnel now and grow into a founding AE in 6-12 months. ### What you'll do \- Execute our existing outbound playbook for small and mid-sized law firms. \- Book qualified demos - alleviating our current bottleneck and letting us scale even faster! ### You should apply if: \- You have 1-3 years of B2B outbound experience and have personally booked 10+ meetings/month with cold prospects. \- You're comfortable owning a quota and keeping track of your metrics. \- You move fast, communicate clearly in writing, and don't need to be asked twice. ### Bonus \- Legal tech experience or a background selling into law firms. \- Familiarity with Apollo, Exa, LinkedIn Sales Navigator. \- Founder mindset - you can run a sales function and continuously optimize it. ### Logistics \- **Location:** NYC or remote \- **Compensation:** $65-80K base + $20-30K variable (OTE $85K-$110K) + meaningful early-stage equity \- **Reports to:** Sean Adler (Founder/CEO) \- **Start date:** ASAP

Inlet remote jobs

Founding SDR