Partner Solutions Architect
LanceDB · San Francisco, CA
$180,000–$250,000
Jul 9, 2026
San Francisco, CA
Jul 21, 2026
What this job asks for AI summary
A Senior Partner Solutions Architect role focused on building and scaling a global partner ecosystem for an open-source AI data platform. Day-to-day work spans technical onboarding and training for partner engineers, co-designing architectures for enterprise deployments, authoring reference materials and deployment blueprints, and channeling partner feedback into the product roadmap. Best suited to someone with a strong background in distributed systems and AI/ML infrastructure who has worked closely with system integrators, cloud providers, or technology alliances.
Senior level · 10+ years · Remote
“or” means any one of them counts — you don't need all of them.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Roughly 1,600 people nationally plausibly meet what this posting asks for (computer systems analysts). range 950–2,350
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
Rare in this occupation — lead with these, and say what you built with them.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $108,178 (middle half $84,682–$137,059).
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (8)
This role is a Partner Solutions Architect — primarily a customer/partner-facing technical advisory and enablement function. SOC 15-1211 (Computer Systems Analysts) is the closest fit for the day-to-day work (architecture guidance, integration design, partner enablement), though the hands-on coding expectation (production-grade Python/Rust SDK work) creates a genuine pull toward 15-1252 (Software Developers).
Python and Rust are listed together under 'Programming Skills' in the Must-Have Qualifications section with firm language ('strong proficiency in Python and a willingness to dive into Rust'). They are treated as a paired hard gate rather than strict alternatives — the JD expects both, so they are emitted as separate required skills.
Terraform and Docker appear in the Must-Have section as concrete deployment tools ('deployment blueprints (Terraform, Docker)') and are marked required accordingly.
Cloud providers (AWS, GCP, Azure) are cited together as partner ecosystem examples; AWS is used as the primary name with GCP and Azure as alternatives since the JD treats them interchangeably in context.
Apache Spark, Ray, Delta Lake, Kafka, Airflow, Prometheus, Grafana, and OpenTelemetry all appear exclusively under the 'Bonus Points' section and are marked preferred.
Kafka and Airflow are listed together as open-source infrastructure orchestration tools in the bonus section; they are not true substitutes for each other but are grouped as a bonus cluster — emitted as one entry with Airflow as an alternative for brevity, reflecting their co-listing.
No compensation figures are disclosed beyond 'competitive compensation.'
Caller marked this a fully-remote role — scored against the national candidate pool.
Read the full posting
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