Senior AI Solutions Engineer at Fiddler AI
Palo Alto, CA
$164,000–$215,000from the description
Jul 13, 2026
Palo Alto, CA
Jul 21, 2026
What this job asks for AI summary
A senior customer-facing technical role focused on helping enterprise clients successfully adopt an AI observability platform. Day-to-day work spans guiding customers through onboarding and proof-of-value engagements, writing integration code connecting the platform to data infrastructure tools, and acting as an internal advocate for customer needs. Suited to someone with production ML experience who is equally comfortable in deep technical work and stakeholder-facing conversations.
Senior level · 5+ years · Remote · Bachelor's required · Full-time
“or” means any one of them counts — you don't need all of them.
Posted 2 times — it's one opening, so apply once.
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 1,100 people nationally plausibly meet what this posting asks for (computer occupations, all other). range 650–1,950
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 $119,144 (middle half $81,115–$160,963). This posting is about at that midpoint.
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)
SOC classification is a judgement call: this is a Solutions/Sales Engineer role (pre- and post-sales technical advisory + custom integration coding), which sits between 15-1299 (Computer Occupations, All Other — the best fit for customer-facing technical roles without a cleaner code) and 15-1252 (Software Developers, since the role explicitly requires writing custom integration code). 15-1299 was chosen as primary because the dominant day-to-day work is customer engagement, onboarding, and technical advisory rather than building a shipped product.
The JD lists specific integration tools (Snowflake, Airflow, MLflow, S3, Kafka) in the required responsibilities section as examples of what the engineer will write code against; these are treated as hard gates on that capability cluster. The broader list of data/workflow tools (Hadoop, MongoDB, BigQuery, Spark, Kinesis, RabbitMQ, Luigi, Kubeflow, Argo) appears under 'Even Better' (preferred) and is marked accordingly.
The compensation figure '$164,000 - $215,000K OTE' appears to contain a typo ('K' after the upper bound); the figures are captured as stated ($164,000–$215,000) on an annual basis, representing OTE (base + variable).
The degree requirement states 'Bachelor's degree … or related field' with no explicit equivalent-experience substitution, so it is treated as a hard requirement.
West Coast PST time zone preference and Federal/government account experience are listed under 'Even Better' (preferred) and are not captured as hard-gate skills since they name no specific technology.
The posting notes a hybrid office requirement (Palo Alto, 2–3 days/week) for Bay Area candidates only; per the caller's declaration, this is treated as a fully remote, national-pool role.
Ignored 1 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): AI/ML production deployment.
Caller marked this a fully-remote role — scored against the national candidate pool.
Read the full posting
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