Allocate, Palo Alto Office (Hybrid)
You will own the intelligence layer of Allocate: the AI systems that turn raw private markets documents and data into insight clients trust and act on.
The raw material is some of the messiest data in finance:
But the pipeline is the substrate, not the product. The product is what the intelligence does with it: surfacing patterns in investment performance and outcomes that no advisor would find by reading raw numbers, powering our Insights and Diligence products, and answering the question every end investor actually has, which is "how is my portfolio really doing, and what should I pay attention to?" You will decide where models create real leverage, design the systems that keep their output accurate enough to put in front of paying clients, and ship intelligence that is measurably right, not just impressive in a demo.
That last part is the hard part, and it is why this role exists. Anyone can wire an LLM to a database. Making AI-generated analysis reliable enough that an RIA will present it to their client requires evals, monitoring, quality gates, and product judgment about when the system is good enough to ship and when it is not. We hold AI features to hard eval gates before they reach clients. You will own those gates.
This is deliberately a wide seat: the pipeline, the client-facing data experience, and the intelligence on top. We keep them together because splitting them produces exactly the disconnected, half-trusted data products this industry is full of. If that scope reads as too much, this is not your role. If it reads as the whole point, keep going.
In private markets, data is the product. When an advisor opens a client’s portfolio, the completeness of the look-through data, the accuracy of the cash flows, and the quality of the analytics are the product experience. When the end investor asks how their portfolio is really doing, the answer is only as good as the intelligence built on top of the data.
This role decides whether that answer is trustworthy and illuminating or incomplete and flat. Your impact shows up in how much manual extraction work intelligence eliminates, how confidently an RIA puts our numbers and our AI-generated analysis in front of their clients, and how often the system surfaces something about performance or outcomes the user would never have found on their own.
This seat comes with a scoreboard, and you will want one.
Reports to: Head of Product, working directly with the CEO on data and intelligence strategy.
Location: Palo Alto, CA.
Compensation: Base salary of $190K to $230K plus discretionary bonus, and equity.
Most AI product roles are a feature bolted onto someone else’s product. This one is the product. You will own the layer that decides whether clients trust and understand their portfolios, from the extraction intelligence that makes the data reliable to the analysis that makes it meaningful, and you will be measured on whether it is probably right. If you want to build AI that real people stake real decisions on, this is the seat.
Allocate is building the intelligent private markets operating system for the wealth channel. We give RIAs, family offices, and institutional allocators modern infrastructure for discovering, accessing, and managing private market investments. Today that means 350+ wealth advisory firms, 1,500+ GP relationships, and over $5 billion in platform assets, and we are scaling fast.
Benefits: Medical, dental, vision, responsible time off (RTO), 401(k). Allocate is an equal opportunity employer. We value diversity of thought, background, and experience.
AlineaNew York, New York +1
$215K–$250K / yr
Posted Oct 12, 2026
GoodfinSan Francisco, California
$200K–$300K / yr
Posted Jan 31, 2026
DualEntryNew York City
$220K–$280K / yr
Posted 21 days ago
$200K–$250K / yr
Posted May 14, 2026
$220K–$280K / yr
Posted 23 days ago
Ethos LifeRemote US
$166K–$260K / yr
Posted Aug 26, 2026
Source: the Allocate Ashby job board. We last checked this job 5 h ago. We first saw it 7 days ago. A job on a job board does not always mean that the team interviews people now. We found this job board in a public list. We did not yet compare it with the careers page of the company.
No one has reported an interview at Allocate yet. Did you interview there? Add the questions.
This base pay is near the median for senior product management jobs in the Bay Area.
We compare the middle of each posted range. This is base pay as posted. The group does not include this job.