# Dealops - Forward Deployed Strategist at deCircle

> Onsite · United States · Unspecified · Other · open. Source: https://alderhq.app/jobs/recruitee%3Adecircletalentpartner%3A2780697 (read 2026-11-08).

## Facts (observed)

- Company: [deCircle](https://alderhq.app/companies/decircle)
- Location text: San Francisco, California, United States
- Where it can be done from (inferred): Onsite · United States (evidence: "Location: San Francisco, California, United States")
- Posted: 2026-10-12 (26 days ago)
- First seen by alder: 2026-11-04 · last verified: 2026-11-04
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://talent.makerdao.network/o/dealops-forward-deployed-strategist

## Pay and sponsorship

- Posted pay: not posted
- Market band for similar posted roles (SF Bay Area, n 2435): p25 $100k, median $157k, p75 $210k

## Description (the employer's text)

Dealops: AI deal-pricing and revenue infrastructure for B2B (Airwallex, Plaid, Harvey, LangChain, Clay). 12 people, $7M from General Catalyst and Pear VC, SF.

Comp: $140K-$180K + 0.05%-0.15% equity. Location: on-site San Francisco. Visa: H1B transfer only.

### Responsibilities

Design and run pilots, AI implementations and trainings to onboard customers

Own customer outcomes; drive adoption and expansion in key accounts

Work with Heads of Pricing, RevOps and Product at AI/fintech companies

Codify deployment best practices into product roadmap and GTM

Lead strategic projects turning user insights into product/business bets; scale repeatable patterns

Source: https://www.paraform.com/share/dealops/cmmbd894e00030clar0dz49cj

### Requirements

3+ yrs across IB/elite consulting AND startup bizops/strategy (or startup bizops/deployment with end-to-end delivery)

Comfortable with senior customer leaders

Bonus: B2B pricing, GTM tools, AI agents

On-site SF; H1B transfer only

---
Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/recruitee%3Adecircletalentpartner%3A2780697 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.