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HomeCompaniesAscendSolutions Engineer

Solutions Engineer

Ascend · San Francisco · On Site · Active · $45 / hour · Greenhouse

Job facts

FieldValue
CompanyAscend
TitleSolutions Engineer
Normalized title-
Department / teamTech
LocationSan Francisco, CA, United States
Work modelOn Site
Employment type-
Salary$45 / hour
Statusactive
ATS providerGreenhouse
Posted / first seen2026-05-08 / 2026-05-29
Changed / last seen2026-06-06 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Ascend.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Greenhouse.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in San Francisco.Open
Department jobsActive postings in Tech.Open
Work model jobsActive On Site postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyAscend
Source99254cf3-a00c-4ea6-acec-25a00db8a87c
ATS providerGreenhouse

Description

_*]:min-w-0 gap-3 !gap-3.5"> What We Do Insurance is a $10T industry still running on PDFs, email threads, and manual reconciliation. Ascend is changing that. We built the first and only complete financial operations platform purpose-built for insurance — combining AI-powered accounting automation, payments, and premium financing in a single vertically integrated solution. In five years, we've become the market leader: over 4,000 businesses, including more than half of the 50 largest brokers in the country, trust Ascend to bring clarity to complex accounting operations — from collection to close. How We Do It Ascend automates the financial operations that insurers, MGAs, and agencies run every day — and embeds directly into the transactions where money actually moves. AI is driving the cost of software toward zero. The companies that win won't just sell tools — they'll capture value at the point of the transaction itself. Ascend is built for exactly that moment. Our customers don't just adopt software; they unlock measurable efficiency with a proven 5–7x return on investment. Our 70+ person team, based in San Francisco and Columbus, brings together deep expertise in insurance, fintech, and AI to build infrastructure the industry has never had. Why We Do It The insurance industry intermediates trillions of dollars — and almost none of that infrastructure was built for the modern era. Legacy systems aren't just inefficient; they're a ceiling on what the industry can become. Ascend's mission is to become the leading financial automation platform for insurance by 2030 — powering the financial operations of the entire industry and transforming the way trillions of dollars move. We're not building another point solution. We're building the financial backbone of insurance. Your Role Ascend is hiring a Solutions Engineer (Contract) to take full ownership of critical AI agentic workflows. You’ll shape how automation powers the insurance industry—improving accuracy, scalability, and customer experience at every step. You’ll dive deep into complex data problems, fine-tune prompts, and refine systems that power the automation layer behind Ascend’s financial infrastructure. This role is a mix of hands-on problem-solving, experimentation, and collaboration with Product, Operations, and Engineering teams to make our automation more reliable and intelligent. This is a contract role based on-site at our San Francisco office, 40 hours per week for six months. Responsibilities Own and optimize prompt logic Build, test, and refine prompts that power AI agents using prompt engineering and analytical problem-solving. Design systems that enable scalable, high-accuracy iteration on prompt workflows. Technical implementation & tooling Partner with internal teams to improve testing, monitoring, and refinement processes. Support new customer and organization onboarding through internal tooling improvements. Provide feedback and insights to shape the broader product roadmap. Customer & stakeholder collaboration Work closely with internal and external users to gather context, troubleshoot challenges, and deliver consistent, high-quality results. Quality assurance & reporting Track and analyze AI workflow accuracy metrics, uncovering trends and root causes. Recommend process improvements to reduce manual work over time. Build reusable playbooks and prompt strategies to support future automation efforts. Why This Role Matters This is a chance to own a critical piece of Ascend’s AI-powered automation systems and see your work directly impact product performance, customer satisfaction, and company growth. You’ll thrive here if you love solving tough technical problems, moving quickly, and building systems that scale intelligently. This role is perfect for someone who operates at the intersection of data, engineering, and product thinking —and takes pride in turning complexity into clarity. What We’re Looking For Exceptional analytical and critical thinking skills, with a track record of breaking down complex problems into actionable solutions. Experience with prompt engineering, AI agents, or AI-powered automation workflows. Proven ability to work with complex, real-world systems to identify patterns and improve reliability. Strong communication skills, with the ability to translate technical concepts for both technical and non-technical audiences. Bonus: Familiarity with large language models (LLMs) and their applications in automation or data systems. Contract Details Location: On-site in San Francisco (SoMa) Compensation: $45 per hour (average working week 40 hours) Type: Contract to hire as a full time software engineer (6 months) Benefits do not apply until contract positions are converted to full-time (not guaranteed). All roles at Ascend are 5 days a week onsite at our beautiful office in SoMa! Benefits 100% health premiums covered for you and your dependents 401k with employer matching options A fast growing team with an emphasis on promoting from within 80% of all hires in the last 12 months have already been promoted! Unlimited PTO Company paid commuter benefits Parental and family leave Lunch everyday Dog-friendly office! Equal Opportunity We are committed to equal opportunity employment and embrace diversity within our organization. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We encourage candidates to apply even if their experience doesn't precisely match this opportunity. We value diversity and are dedicated to equal opportunity employment.

Full job record

Job IDbabef35fbd6d851c7df92242f883bb79864e322f
Org ID8a2179c0-c6f8-4857-a8ed-6443fe9cf064
Source ID99254cf3-a00c-4ea6-acec-25a00db8a87c
Board ID99254cf3-a00c-4ea6-acec-25a00db8a87c
Providergreenhouse
Provider Job Key5215133008
TitleSolutions Engineer
Normalized Title
Statusactive
Activeyes
Location TextSan Francisco
DepartmentTech
Team
Employment Type
Workplace Typeon_site
Remote Policy
CountryUnited States
RegionCA
CitySan Francisco
Salary RawCompensation: $45 per hour (average working week 40 hours) Type: Contract to hire as a full time
Salary Min45
Salary Max
Salary CurrencyUSD
Salary Periodhour
Source URLhttps://job-boards.greenhouse.io/ascend21/jobs/5215133008
Apply URLhttps://job-boards.greenhouse.io/ascend21/jobs/5215133008
First Seen At2026-05-29 22:41:07Z
Last Seen At2026-06-06 07:33:59Z
Last Checked At2026-06-06 07:33:59Z
Last Changed At2026-06-06 07:33:59Z
Inactive At
Source Posted At2026-05-08 23:17:15Z
Source Updated At2026-05-15 21:12:38Z
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=greenhouse/board=ascend21/date=2026-06-06/2026-06-06T07-33-59-138Z-22d2fe4f2eeeee263b95f5eb650bcb31e26f23bb73c586461c20998ebcdd5ec4.json
Event Fields
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Parsed Structured
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  },
  "remote_policy": null,
  "salary_period": "hour",
  "workplace_type": "on_site",
  "salary_currency": "USD"
}
Extensions
{}
Native Structured
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  "company_name": "Ascend",
  "requisition_id": 4472288008,
  "first_published": "2026-05-08T19:17:15-04:00",
  "application_deadline": null
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