Unify was founded January 17th, 2023 by Austin Hughes and Connor Heggie. Prior to Unify, Austin led Ramp’s growth product team focused on new customer acquisition, and Connor was a machine learning research engineer at Scale AI. The rest of our team comes from companies like Airbnb, Spotify, Bridgewater and LinkedIn.
Our mission is to build the first system-of-action for go-to-market teams, starting with an end to end platform powering warm outbound. Today, outbound sales is dominated by cold, mass outreach that floods people's inboxes and converts to deals at a tiny rate. We’re building a platform to power warm outbound, allowing go-to-market teams to get in touch with the right people at the exact time they’re looking for a solution.
We've grown revenue 8x year-over-year, and are already serving customers like Guru, Justworks, Together.AI, Flock Safety, Hightouch and more. We’re a high energy, high intensity team and we’ve raised $58M from Thrive, Emergence, OpenAI and others. Come join us in changing how go-to-market works.
Unify is redefining go-to-market with state-of-the-art AI. As a Senior SRE, you'll tackle the scaling and reliability challenges that come with adding terabytes of data monthly and supporting enterprise customers with demanding uptime requirements. You'll work across the stack—optimizing databases, hardening services, and building the automation and observability that keep Unify fast and reliable at scale.
Scale our data infrastructure: Optimize and extend our ClickHouse and PostgreSQL deployments—designing partitioning strategies, tuning queries, and improving replication and failover systems.
Improve system performance: Profile and optimize critical paths across backend services, identify bottlenecks in data pipelines and API layers, and ship changes that improve latency and throughput.
Build for reliability: Implement rate limiting, circuit breakers, graceful degradation, and other patterns that keep the platform stable under load and during partial failures.
Automate everything: Write tooling that eliminates toil—automating deployments, scaling operations, backup verification, and incident remediation.
Instrument and observe: Build out distributed tracing, metrics, and alerting that give engineers clear visibility into system behavior and accelerate debugging.
Respond and learn: Participate in on-call rotations, run incident response, and drive blameless postmortems that prevent recurrence.
5+ years of software engineering experience with a strong backend foundation, including 2+ years focused on reliability, infrastructure, or platform work.
Hands‑handon experience operating databases at scale including query optimization, replication, and failover.
Strong programming skills (Typescript, Python, Go, or similar) with experience building automation and tooling.
Able to diagnose complex distributed systems issues under pressure and communicate clearly during incidents.
Collaborative, low-ego attitude and desire to work in a fast‑paced environment.
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