Home › Companies › Unify › Staff Software Engineer, Platform
Staff Software Engineer, Platform
Unify · San Francisco Office · Hybrid · Active · $285,000 / year · Ashby
Job facts
| Field | Value |
|---|---|
| Company | Unify |
| Title | Staff Software Engineer, Platform |
| Normalized title | - |
| Department / team | Engineering / Engineering |
| Location | San Francisco, CA, United States |
| Work model | Hybrid / Hybrid |
| Employment type | Full Time |
| Salary | $285,000 / year |
| Status | active |
| ATS provider | Ashby |
| Posted / first seen | — / 2026-05-29 |
| Changed / last seen | 2026-05-29 / 2026-06-06 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Unify. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through Ashby. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in San Francisco. | Open |
| Department jobs | Active postings in Engineering. | Open |
| Work model jobs | Active Hybrid postings. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Unify |
| Source | 03fd22ee-f326-4b31-97ad-4c83ee767cfc |
| ATS provider | Ashby |
Description
About Unify
Unify is building the first AI-powered system of action for revenue teams , helping companies transform outbound into a top-performing growth engine by making go-to-market execution observable, repeatable, and scalable. Founded in 2023 by leaders from Ramp and Scale AI, our team brings experience from companies like Airbnb, Meta, Waymo, Monday.com , and more.
Unify increased revenue by 8x in 2024 and serves customers including Perplexity, Cursor, SoFi, and Justworks . We’re a high energy, high intensity team that has raised $58M from Thrive, Emergence, OpenAI and others. We’re building the future of GTM - come join us!
About the Role
Unify is redefining go-to-market with state-of-the-art AI. As our first Backend Staff Software Engineer. This role is focused on scaling our core platform to support our hyper growth. Morever, you’ll partner directly with the founders to take brand-new product ideas from zero to one, set the technical vision, and establish engineering standards that will scale with the company.
What You’ll Do
Scale Unify: Ensure that Unify can scale to support our hyper growth and provide a stable platform for large scale customers such as Cursor, Perplexity and Decagon
Drive the technical roadmap: Collaborate with Product, Design, and GTM stakeholders to translate ambiguous business goals into a clear, phased engineering plan.
Set the bar for engineering excellence: Establish coding standards, CI/CD pipelines, testing strategy, reliability targets, and observability practices that future teams will inherit.
Evaluate & integrate new tech: Rapidly prototype with third-party APIs, databases, model-serving platforms, and infra vendors to accelerate customer value.
Mentor & lead: Provide technical leadership for (and — if you’re up for it — manage) engineers across domains—pairing, reviewing, and unblocking as you go.
Who you are
8+ years of professional software-engineering experience, including 3+ years leading critical projects or teams.
Deep, hands-on expertise scaling and operating PostgreSQL—designing partitioned/sharded schemas, tuning indexes and queries, automating backups and observability, and running resilient multi-TB clusters with replication and failover.
Proven track record of shipping high-impact, production-grade systems at scale. Passion for customers: you prototype quickly, iterate on feedback, and sweat the edge-cases that matter.
Collaborative, low-ego attitude with a history of mentoring engineers and leveling up the people around you.
Desire to work in a fast-paced environment, continuously grow, and master your craft
Compensation:
This a salaried position with a target range of 245,000 - $285,000 (depending on experience), equity package and comprehensive benefits (including medical, dental, vision, and 401(k) options). This position is hybrid in either San Francisco, CA, or New York City, NY, offering the invaluable opportunity to work closely with a talented team in a dynamic, high-energy environment. Being in-person enables real-time collaboration, fosters creative problem-solving, and strengthens the connections that drive innovation and impact. You'll be at the center of our fast-paced operations, contributing to a culture that values engagement, growth, and teamwork.
Full job record
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| Source ID | 03fd22ee-f326-4b31-97ad-4c83ee767cfc |
| Board ID | 03fd22ee-f326-4b31-97ad-4c83ee767cfc |
| Provider | ashby |
| Provider Job Key | 48f98568-1af6-4466-bb02-129f8cd347da |
| Title | Staff Software Engineer, Platform |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | San Francisco Office |
| Department | Engineering |
| Team | Engineering |
| Employment Type | full_time |
| Workplace Type | hybrid |
| Remote Policy | hybrid |
| Country | United States |
| Region | CA |
| City | San Francisco |
| Salary Raw | Compensation: This a salaried position with a target range of 245,000 - $285,000 (depending on experience), equity package and comprehensive benefits (including |
| Salary Min | 285,000 |
| Salary Max | — |
| Salary Currency | USD |
| Salary Period | year |
| Source URL | https://jobs.ashbyhq.com/unify/48f98568-1af6-4466-bb02-129f8cd347da |
| Apply URL | https://jobs.ashbyhq.com/unify/48f98568-1af6-4466-bb02-129f8cd347da/application |
| First Seen At | 2026-05-29 05:14:22Z |
| Last Seen At | 2026-06-06 18:50:50Z |
| Last Checked At | 2026-06-06 18:50:50Z |
| Last Changed At | 2026-05-29 05:14:22Z |
| Inactive At | — |
| Source Posted At | — |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=ashby/board=unify/date=2026-06-06/2026-06-06T18-50-48-586Z-642d88383efcf664b44f3449138d8666cc302c475c3a4504c949b0dfc7a60abe.json |
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