The Openings Map
Dynamo AI has six salaried roles open right now, spanning a $195,000 salary band, from a remote Senior Software Engineer at $80,000 to a San Francisco Lead Software Engineer - ML Service at $275,000. That spread — infrastructure, product, and commercial roles split across San Francisco, New York, and U.S. remote — is the clearest signal the company has sent yet about where it's building and what it's willing to pay for. The postings read like a map of where AI product work sits today: half infrastructure, half application, all of it moving fast enough that titles barely settle before scope shifts.
The company is expanding its engineering and research teams, creating a clear path for skilled candidates to join and shape its products. The three poles — model-serving layer, product layer, commercial layer — are hiring simultaneously, not sequentially. A Lead ML Service Engineer in San Francisco owns the serving stack: model routing, batch and real-time inference, GPU utilization, observability. A Technical Product Manager in the same office writes specs engineers implement without translation. A Customer Success Senior Manager in New York owns renewal forecasts and expansion revenue for named accounts. A Product Analyst in San Francisco builds the instrumentation layer that tells product and engineering whether a feature moved the needle, and often doubles as the first line of model-quality monitoring, tracking hallucination rates, latency regressions, cost-per-interaction drift. Two roles carry remote eligibility: the Senior Software Engineer (U.S.-wide, $80,000–$130,000) and the Product Manager - AI (San Francisco or remote, $125,000–$165,000). The wide remote engineering band suggests the role spans individual-contributor to staff-equivalent scope, priced by experience rather than geography.
The team structure underneath these titles is still forming. A lead engineer hiring at the top of the band typically brings a small team or builds one fast. The product manager and analyst roles imply a pod model (one PM, one analyst, a handful of engineers) that can iterate on a vertical use case end to end. The New York success hire suggests a geographic split: product and engineering weighted West Coast, go-to-market weighted East Coast. That split will shape where the next wave of headcount lands. If you need daily access to GPU clusters or hardware co-design partners, the San Francisco desk is the logical home base. If your workflow runs through customer workshops and quarterly business reviews, the New York seat makes sense. If you ship code asynchronously and only need to fly in for planning weeks, the remote band is written for you.
What the Numbers Show
| Role | Location | Base Salary Band (USD/year) |
|---|---|---|
| Lead Software Engineer - ML Service | San Francisco, CA | $200,000 – $275,000 |
| Technical Product Manager | San Francisco, CA | $165,000 – $220,000 |
| Customer Success Senior Manager | New York, NY | $150,000 – $180,000 |
| Product Manager - AI | San Francisco, CA / Remote (US) | $125,000 – $165,000 |
| Product Analyst | San Francisco, CA | $100,000 – $130,000 |
| Senior Software Engineer | Remote (US) | $80,000 – $130,000 |
The top of the range belongs to the Lead Software Engineer - ML Service role in San Francisco, where the band reaches $275,000. That aligns with what specialized ML infrastructure talent commands at growth-stage AI companies; the work sits at the intersection of model serving, low-latency systems, and GPU utilization, a skill set that remains scarce. Technical Product Manager in the same market sits $55,000–$80,000 below that ceiling, reflecting the product-versus-engineering premium that persists across the sector.
Notable: the Senior Software Engineer role listed as Remote (US) carries a band of $80,000–$130,000, a spread wide enough to suggest either a broad experience range or geographic differentials baked into a single posting. Candidates should clarify which end of that band maps to their experience level and location before advancing far in the process.
The Product Manager - AI role, also offered as San Francisco or Remote (US), spans $125,000–$165,000, tighter than the engineering band, which is typical for product tracks. Customer Success Senior Manager in New York sits at $150,000–$180,000, signaling that post-sales leadership with technical fluency is priced closer to product than to traditional support.
Equity and variable components do not appear in the board's base-salary fields. At this stage, Dynamo AI's public postings have not broken out RSU grants, refresh cadences, or bonus targets. Candidates should ask directly about the equity pool percentage allocated to their level, the vesting schedule (four-year monthly with a one-year cliff is standard, but not universal), and whether the company uses a 409A valuation or a preferred-price benchmark for grant sizing. Benefits (health, 401(k) match, learning stipends, hardware budgets) likewise aren't captured in the salary bands; treat the figures above as base-only and factor total compensation accordingly.
Geography matters. The two San Francisco engineering and product roles sit at the top of their respective bands; the sole New York listing is competitive but below the Bay Area engineering ceiling; the remote Senior Software Engineer band is the widest and lowest-floored. If you're negotiating from a lower-cost metro, anchor to the role's upper quartile rather than the median; companies that list wide remote bands often have internal geo-zones they don't publish.
The median of $130,000 across all six roles is a useful sanity check: it sits below the Lead ML Engineer midpoint but above the Product Analyst and Senior Software Engineer midpoints, confirming the distribution is weighted toward senior technical and product roles rather than a flood of junior listings. For a candidate, that means the conversation at offer stage will likely center on where your role slots in that hierarchy and whether the equity component closes the gap to market total-comp for your specialty.
Industry Context: Hiring Signals and Remote-Work Risk
A 2025 hiring scandal involving engineer Soham Parekh illustrates how remote hiring can be gamed. Parekh listed Dynamo AI, Synthesia, Union AI, Alan AI, Fleet AI, and Antimetal on his resume while allegedly working for multiple Y Combinator-backed startups simultaneously. Suhail Doshi, co-founder of Mixpanel and founder of Playground AI, fired Parekh in his first week and warned publicly: "He's been preying on YC companies and more. Beware." Flo Crivello, CEO of Lindy, hired Parekh then fired him the same morning after seeing Doshi's post: "He did so incredibly well in interviews, must have a lot of training." Matthew Parkhurst, CEO of Antimetal, confirmed: "Really smart and likable; enjoyed working with him. We realised pretty quickly that he was working at multiple companies and let him go." Michelle Lim at Warp canceled a scheduled work trial. Arkadiy Telegin of Leaping AI and Nicolai Ouporov of Fleet AI also confirmed the pattern. Deedy Das, a tech investor, called Parekh "the tip of the iceberg" for communities boasting about simultaneous employment schemes.
The episode underscores what hiring teams now screen for: sustained execution, not just interview performance. Dynamo AI's roles — spanning model-serving infrastructure, product, and go-to-market — sit on the critical path between code review and production validation. Industry analysis draws a category boundary: AI code review checks whether code follows patterns and catches obvious bugs; AI-powered QA simulation checks whether a change survives production load, real customer data, and cross-service dependencies. Dynamo AI builds the latter. Candidates who treat the work as a file-level task (reviewing diffs in isolation) mismatch the role. The compensation bands reflect that expectation: the Lead ML Service Engineer band runs to $275,000; Technical Product Manager tops at $220,000, Zero G Talent's figures put; Customer Success Senior Manager reaches $180,000. These are base-salary figures from the company's job board; equity, variable components, and benefits are not captured in the posted bands.
Dr. Christian Lau, Dynamo AI co-founder, has advised Congress on AI policy, per Procopio law firm announcements. The company's open roles are verified on Zero G Talent's board, which tracks 12,281 open AI roles across 3,060 companies.
Working in AI? Zero G Talent tracks the openings: see every open Dynamo AI role, browse AI jobs, the companies hiring, and the people building the field.