About Unify 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. About The Role Unify is redefining go-to-market with state-of-the-art AI. As our Staff SRE Tech Lead, you'll own the reliability and scalability of our platform as we add terabytes of data monthly and onboard customers with demanding uptime requirements. You'll set the technical direction for reliability engineering, lead a pod of SREs, and partner directly with the engineering leadership to build the systems and practices that keep Unify fast and reliable at scale. What You'll Do 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. Who You Are 8+ years of software engineering experience with a strong backend foundation, including 3+ years focused on reliability, infrastructure, or platform work. Experience leading teams or pods-setting technical direction, mentoring engineers, and driving execution on complex projects. Deep expertise operating databases at scale, including schema design, query optimization, replication, and failover strategies. Strong programming skills (Typescript, Python, Go, or similar) with a track record of building automation and tooling that meaningfully reduces operational burden. Collaborative, low ego attitude with a history of leveling up the people around you. Compensation Range: $250K - $295K
04/02/2026
Full time
About Unify 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. About The Role Unify is redefining go-to-market with state-of-the-art AI. As our Staff SRE Tech Lead, you'll own the reliability and scalability of our platform as we add terabytes of data monthly and onboard customers with demanding uptime requirements. You'll set the technical direction for reliability engineering, lead a pod of SREs, and partner directly with the engineering leadership to build the systems and practices that keep Unify fast and reliable at scale. What You'll Do 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. Who You Are 8+ years of software engineering experience with a strong backend foundation, including 3+ years focused on reliability, infrastructure, or platform work. Experience leading teams or pods-setting technical direction, mentoring engineers, and driving execution on complex projects. Deep expertise operating databases at scale, including schema design, query optimization, replication, and failover strategies. Strong programming skills (Typescript, Python, Go, or similar) with a track record of building automation and tooling that meaningfully reduces operational burden. Collaborative, low ego attitude with a history of leveling up the people around you. Compensation Range: $250K - $295K
3 days ago Be among the first 25 applicants Get AI-powered advice on this job and more exclusive features. About Unify 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, Waymo 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. 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 225,000 - $265,000 (depending on experience), equity package and comprehensive benefits (including medical, dental, vision, and 401(k) options). This position is onsite 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.
04/02/2026
Full time
3 days ago Be among the first 25 applicants Get AI-powered advice on this job and more exclusive features. About Unify 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, Waymo 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. 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 225,000 - $265,000 (depending on experience), equity package and comprehensive benefits (including medical, dental, vision, and 401(k) options). This position is onsite 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.
A tech startup focused on go-to-market strategies is seeking a Backend Staff Software Engineer in San Francisco. This role emphasizes scaling the core platform and collaborating with founders on new product ideas. The ideal candidate has over 8 years of software engineering experience and deep expertise in PostgreSQL. Compensation includes a salary range of $225,000 - $265,000, equity, and comprehensive benefits, fostering an engaging and innovative work environment.
04/02/2026
Full time
A tech startup focused on go-to-market strategies is seeking a Backend Staff Software Engineer in San Francisco. This role emphasizes scaling the core platform and collaborating with founders on new product ideas. The ideal candidate has over 8 years of software engineering experience and deep expertise in PostgreSQL. Compensation includes a salary range of $225,000 - $265,000, equity, and comprehensive benefits, fostering an engaging and innovative work environment.
About Unify 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. About the Role 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. What You'll Do 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. Who You Are 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.
04/02/2026
Full time
About Unify 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. About the Role 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. What You'll Do 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. Who You Are 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.
About Unify 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. About the Role 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. What You'll Do 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. Who You Are 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.
04/02/2026
Full time
About Unify 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. About the Role 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. What You'll Do 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. Who You Are 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.
