Unify

Full-stack Engineer

• 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
• Collaborate with Product, Design, and GTM stakeholders to translate ambiguous business goals into a clear, phased engineering plan.
• Establish coding standards, CI/CD pipelines, testing strategy, reliability targets, and observability practices that future teams will inherit.
• Rapidly prototype with third-party APIs, databases, model-serving platforms, and infra vendors to accelerate customer value.
• Provide technical leadership for (and — if you’re up for it — manage) engineers across domains—pairing, reviewing, and unblocking as you go.

Senior Software Engineer, Platform

• Scale Unify
• Drive the technical roadmap
• Set the bar for engineering excellence
• Evaluate & integrate new tech
• Mentor & lead

Staff Software Engineer, Platform

Product Manager

• Own the product. You'll define what we build alongside our founders — with strong opinions rooted in deep customer understanding and business context.
• Drive strategy and execution for your pods. You'll be directly responsible for a couple of engineering pods — owning the roadmap, setting priorities, and making sure your teams are shipping the highest-impact work.
• Ship end to end. Take ideas from napkin sketch to launched feature. You scope it, you ship it, you measure it, you iterate.
• Be the voice of the customer. Talk to users constantly. Dig into usage data. Understand what they're actually trying to do. Turn those insights into product decisions.
• Sweat the details on UX. You care about every click, every label, every flow. You catch the friction that everyone else walks past. You ship things that are simple, elegant, and delightful.
• Raise the bar on product quality. You'll help set the standards for how product works at Unify — how we think about quality, how we make decisions, how we ship.

Senior Product Manager

• Lead the growth pod: Manage and mentor engineers, setting priorities, and unblocking work while staying hands-on with code yourself.
• Own the growth stack: Design and build experimentation infrastructure, feature flagging, and analytics pipelines.
• Drive measurable impact: Partner with Product, Marketing, and GTM to identify growth opportunities, run rigorous experiments, and ship features.
• Build self-serve experiences: Create frictionless onboarding flows and trial experiences.
• Instrument everything: Establish event tracking, funnel analytics, and attribution systems.
• Set the bar for growth engineering: Define best practices for experimentation rigor and iterate on learnings.

Staff Engineer, Growth Engineering

Product Designer

• Drive product strategy
• Lead the transformation of a complex, multi-primitive platform
• Own one of our core product areas end-to-end
• Design AI-first workflows
• Become an expert in the go-to-market space
• Raise the bar for design at Unify

Staff Product Designer

Data Engineer

• Build the enrichment platform - Design and scale pipelines that process 100M+ contact records, integrating with large-scale contact data vendors.
• Own data quality - Build deduplication, entity resolution, and record matching systems that merge contacts from multiple sources into a single high-quality record.
• Optimize vendor economics - Create waterfall enrichment logic that maximizes coverage and freshness while minimizing per-record cost across a portfolio of data vendors.
• Ship freshness infrastructure - Build systems that detect job changes, flag stale records, and trigger re-enrichment to keep the dataset current.
• Instrument and measure - Create quality scoring, coverage dashboards, and accuracy metrics that give the business visibility into dataset health.

Senior Data Engineer, Enrichment

Backend Engineer

• bring new products from zero to one working closely with our founders
• own large engineering scope that brings immense value to customers
• shape product roadmap and engineering foundation with a collaborative team
• build new products using the latest tech like TypeScript, Prisma, PostgreSQL, and more
• experiment with various tech platforms to deliver value faster
• lay the foundation for engineering standards to scale the team and business

Senior Software Engineer, Backend Product

• bring new products from zero to one working closely with founders
• own large engineering scope
• shape both our product roadmap and engineering foundation working with a highly collaborative product, design, and engineering team
• build new products using latest tech such as TypeScript, Prisma, Temporal, PostgreSQL, Kubernetes, Pulsar, ClickHouse, LLMs
• experiment, assess and integrate with various tech platforms and vendors
• lay the foundation for our engineering standard

Staff Software Engineer, Backend Product

• Ship novel AI projects and features end to end
• Build and scale AI infrastructure to support production inference
• Develop and improve engineering processes, tools, and systems to scale AI solutions across Unify
• Create novel AI capabilities and push the frontiers of Agents
• Collaborate with frontier labs like OpenAI to test and iterate on features and models before public release

Software Engineer – AI

DevOps Engineer

• 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.

Senior Site Reliability Engineer

• Lead the SRE pod: Set technical direction, drive prioritization, and mentor engineers—ensuring the team is tackling the highest-leverage reliability and scalability challenges.
• Scale our data infrastructure: Architect and extend our ClickHouse and PostgreSQL deployments to handle terabytes of new data monthly; designing partitioning strategies, tuning queries, and building resilient replication and failover systems.
• Improve system performance: Profile and optimize critical paths across our backend services, identify bottlenecks in data pipelines and API layers, and ship changes that meaningfully improve latency and throughput.
• Build for reliability: Design and implement rate limiting, circuit breakers, graceful degradation, and other patterns that keep the platform stable under load and during partial failures.
• Automate everything: Drive 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 make debugging production issues fast.
• Define and enforce SLOs: Establish reliability targets aligned with customer needs, manage error budgets, and drive architectural decisions that balance shipping speed with system stability.