Fixify

• Drive your roadmap projects across whatever areas they live in — discovery through launch • Run discovery with UX, talk to customers, ride along with our internal Operations team, and turn it into specs that build cleanly • Pull your own data in Hex (with Claude or ChatGPT as your wingman) to size, prioritize, and measure • Spot when ML or GenAI is the right answer and scope it with our Data Science lead • Run the cross-product feedback loop on a steady cadence — Sales, CS, internal Operations, customer conversations • Keep Linear and the roadmap honest — visible, prioritized, predictable • Own product-wide release readiness, FAQs, release notes, and customer-facing docs • Use Claude, ChatGPT, and Hex every day as multipliers on your judgment — not as a substitute for talking to customers, owning the spec, or making the call

Role Description Have you ever caught yourself mentally redesigning a system you use every day — not because it's broken, but because you can see exactly how it could be better? Yeah, us too. At Fixify, we believe the best engineering isn't just about building things that work — it's about building things that work for people. We're in the middle of some of the most meaningful platform work in our company's history, and we need a Senior Software Engineer who gets energized by the hard stuff: - Rearchitecting systems without breaking them - Making complex problems feel simple - Shipping changes that users feel but never have to think about You'll own work across the full stack equally — back-end services, cloud infrastructure, and front-end interfaces — and you'll use AI tools as a natural part of how you build and review. You'll bring the kind of judgment that knows when to move fast and when to slow down, and you'll keep the people around you informed, unblocked, and better at their jobs. At a startup this size, you'll see the impact of every decision you make — including the ones you agonized over at 2pm on a Tuesday. Qualifications - Strong TypeScript skills and comfort using it across the stack — from back-end services and APIs to front-end interfaces - Real experience with cloud infrastructure (AWS preferred) and a comfort designing and operating distributed, event-driven systems - Solid back-end fundamentals — database design, API architecture, and the kind of systems thinking that comes from owning services end to end - Front-end experience, ideally with React, and the ability to build interfaces that integrate cleanly with the services behind them - The kind of judgment that comes from having redesigned or migrated a production system and lived to tell the story - Comfort using AI tools as part of your daily workflow — for writing, reviewing, and thinking through design problems - A practice of "kind engineering" — well-documented, well-tested code that's a genuine pleasure for the next person who touches it - A curious nature and the drive to keep getting better at this craft, even when you're already good at it Requirements - Take ownership of evolving our platform safely — managing the messy middle between what exists and what needs to exist - Build across the stack — back-end services, cloud infrastructure, and React front-end — and make it all feel coherent - Use AI tools to write better code, catch problems earlier, and move faster without cutting corners - Keep stakeholders informed — communicating timing, trade-offs, and risks clearly enough that Product can make good decisions, not just hopeful ones - Raise the bar for the engineers around you through thoughtful code reviews, honest feedback, and genuine knowledge sharing Benefits - Give you ownership of platform work that actually matters — not just feature tickets - Put you on a team that takes engineering discipline seriously without taking itself too seriously - Connect you directly with the people who use what you build, so the feedback loop is real - Give you room to mentor, lead technical efforts, and shape how the team works — not just what it ships - Share the "why" behind every decision so you grow from the whole journey, not just your piece of it

Role Description Fixify's Integrations Platform is both the framework and the ecosystem: the patterns, SDK, and abstractions our team builds, plus the integrations themselves that run on top of it across customer ticketing, identity, knowledge, and endpoint systems. We are heading toward hundreds of integrations authored by our team today, by FDEs and contractors against the SDK tomorrow, and by AI agents soon after. We have reached the point where the shape of the platform underneath all of that matters more than any single integration. Someone needs to own that shape across quarters, not weeks. As a Staff Software Engineer on the Integrations Platform team, you would: - Own the multi-quarter shape of the platform. - Set the integration strategy as a continuous workstream (taxonomy, prioritisation, risk tiering, vendor partner relations). - Drive the architectural direction for non-API integration patterns. - Design the authoring framework that lets FDEs, contractors, and AI agents extend the platform safely. - Design the integration testing infrastructure. - Act as a multiplier for the team, not as a portfolio of solo wins. This is a coaching role as much as a building role: - Pair on hard design decisions before they ship. - Run design reviews as a teaching forum. - Share the strategic and surge escalation surface with the engineering manager. - Take your regular turn in the maintenance rotation. Qualifications - A track record of leading multi-quarter platform or integrations work. - Demonstrated experience designing SDKs, authoring frameworks, or systems for safe extension by others. - At least 8 years of experience building scalable, observable SaaS systems. - Deep fluency in TypeScript and Node.js, and with AWS primitives (Lambda, SQS, S3). - Hands-on experience with non-API integration patterns. - A documented architectural decision you are proud of, and another one you would do differently with a year of hindsight. - A reviewer's instinct that is teaching-shaped rather than gatekeeping-shaped. - Fluency with AI coding tools and a real point of view on platform design with AI agents. - The confidence to say "I do not know yet, here is how I would find out". Requirements - Strong opinions are welcome after you have earned the context, not on day one. - If you are looking for a role where you can ship big things solo and become the person every decision routes through, this is not it. Benefits - Architectural canvas for a platform that is mid-build. - Pair with a Chief Architect who is engaged on the integrations problem. - Direct connection to customers and analysts for grounded architecture decisions. - Trust on multi-quarter calls with expectations to document and revisit them. - Space to coach as part of the week. - Shared strategic and surge escalation load.

• As a Senior Software Engineer on our Automation team, you’ll work collaboratively with other engineers, data scientists, and subject matter experts to build and maintain Fixify’s automation capabilities. • You’ll get hands-on, real world experience with bleeding edge tools and techniques, unlocking novel new solutions to historically difficult problems. • Working hand-in-hand with data scientists, you will contribute to our AI architecture, helping us harness LLMs while ensuring our solutions are safe, reliable, and scalable. • As a member of our product organization, you’ll be encouraged to be creative, and bring your own unique perspective and experiences to bear. • Most importantly, you’ll be connected directly to our customers, and the problems we aim to solve for them, allowing you to ship solutions that make a real difference.

Role Description Fixify's Integrations Platform is both the framework and the ecosystem: the patterns, SDK, and abstractions our team builds, plus the integrations themselves that run on them across customer ticketing, identity, knowledge, and endpoint systems. We are heading toward hundreds of integrations authored by our team today, by FDEs and contractors against the SDK, and increasingly by AI agents working on top of a platform solid enough to keep that scale safe. We have reached the point where building the platform underneath all of that matters more than building any single integration. As a Senior Software Engineer on the Integrations Platform team, you would: - Build new integrations end-to-end and contribute to the platform that supports them. - Spot patterns across integrations and pull them into shared abstractions. - Work on more than the standard API-and-poll model: webhooks, callbacks, iPaaS bridges (Okta Workflows, Tines), and browser-driven flows. Qualifications - A track record of building or operating integrations, data pipelines, or ingestion systems, especially at multi-tenant scale across many customers. - At least 5 years of experience building scalable, observable SaaS systems. - Strong fluency in TypeScript and Node.js, with working knowledge of AWS primitives or equivalents (Lambda, SQS, S3). - Hands-on experience with RESTful API design, webhook patterns, OAuth flows, and rate-limit-aware client design. - Code that the next engineer is glad to inherit: modular, documented, idempotent. - A reviewer's instinct for pull requests, with the same care you bring to writing them. - Fluency with AI coding tools (Cursor, Claude Code, or equivalent), used as a multiplier rather than a crutch. - The confidence to say "I don't know yet, here's how I'd find out." Requirements - Utilize your expertise in Typescript to contribute to both the back-end and front-end code bases of the platform. - Thrive knowing it’s an iterative experience and you’ll learn more from shipping than from reading all the docs. - Constantly strive to refine and improve the code you inherit, not only the code you create. - Approach challenges with a blend of technical skill and creative thinking. - Be a self-motivated professional who finds and fills gaps, embraces a growth mindset, and makes our culture even stronger. Benefits - Endless opportunities to learn new things. - Work that influences organizations globally and makes a tangible difference in how people connect and collaborate. - A team that values every voice and learns from every challenge. - Transparency in decision-making to learn from our collective journey. - Direct visibility into how people use the integrations and how your changes impact their day-to-day lives.

Sales Development Representative United States You remember the prospect who wasn't in the market. Cold outreach, voicemail, no response. You tried again three weeks later with a different angle — something specific, not templated — and they actually called back. Not because you wore them down. Because you'd done the work to understand what was keeping them up at night, and you said it better than they could. You care about the pipeline that converts, not just the pipeline that fills a dashboard. You've debugged your own sequences, rewritten subject lines that weren't landing, and figured out which personas actually pick up the phone. You know the difference between a prospect who's curious and one who's genuinely in pain — and you know how to tell the difference quickly. Fixify is a Series A company building AI-native IT automation. We have customers, a clear ICP, and an AE team that's ready to close deals — what we need is someone to fill the top of the funnel with the right conversations. This is not just a dialer role, you need to bring creativity. You'll be doing real outbound — phone, email, LinkedIn — to the right people, with messaging that actually earns their time. You'll work closely with AEs to understand what makes an opportunity worth pursuing, and you'll build the relationships and habits that make pipeline predictable. You'll also be the first to know when something's not working — and you'll say so. Your feedback will shape messaging and campaigns, not collect dust. If you're energized by the challenge of getting in the door with someone who wasn't expecting you, and you want to do it at a company where your work shows up in real revenue, we should talk. What we can do for you - Give you a clear ICP, strong tooling, and AE partners who'll actually invest in your development and close what you build - Let your feedback directly shape outbound messaging and campaign strategy — not disappear into a Slack channel - Put your work in front of leadership that measures quality, not just volume - Give you visibility into the full sales cycle so you understand what happens after the handoff and grow faster for it - Offer a genuine path forward as Fixify scales What you can do for us - Generate qualified pipeline through outbound outreach to target accounts — phone, email, LinkedIn, and any other channels you want to test! - Qualify prospects accurately against our ICP and ensure AEs have the context they need to run great discovery - Prepare and execute warm handoffs that give AEs a real head start - Maintain clean, reliable CRM records so nothing falls through the cracks - Bring back structured signal from the market — what's landing, what's not, and where the messaging needs to change - Partner with AEs on account prioritization and targeting What you should bring with you - 1+ years of experience in outbound sales or SDR work in a B2B SaaS environment — you've done this before and have learned from it - Working knowledge of CRM tools like Salesforce or HubSpot, and sales engagement platforms like Outreach or Salesloft - Comfort selling into mid-market and enterprise organizations (200+ employees) - Strong written and verbal communication — you can tailor your message to different personas without sounding like you read a script - High self-discipline and the organizational habits to manage volume without losing quality - Resilience — you treat rejection as information, not a verdict - Genuine curiosity about the product, the market, and why customers do or don't buy

• Own the last mile of customer success: ensuring each customer's knowledge, configurations, and processes are set up so that automation works at the right time, on the right things, with the right context. • Dig into customer environments to extract the tacit, tribal knowledge that lives in people's heads (the stuff that's not in any runbook) and structure it into playbooks and knowledge configurations our AI can act on. • Evaluate and tune automation performance: figure out what's firing correctly, what's missing, what's producing poor outcomes. When something isn't working, you own it. You don't escalate to engineering and wait. You treat it as an opportunity to improve the system yourself. • Come to customers with a point of view about their own operations, informed by their data and your experience across other environments. Help them see where their IT processes need to change to get more from automation, not just replicate existing workflows inside our platform. • Recognize patterns across customers. What you learn in one environment should make the next one faster. Turn repeatable insights into repeatable approaches. • Close the feedback loop between the field and the product. When you see confusion, friction, or a gap, you don't just work around it. You surface it, document it, and push for it to be fixed at the source. • Partner with Engineering, Product, Data Science, and Customer Success to translate what you're learning in the field into prioritized improvements that make every future deployment faster.

• Lead and develop a team of software engineers through clear context, mentorship, and structured feedback. • Stay hands-on in architecture and delivery, contributing to design decisions and production code. • Partner with Product and Design to translate priorities into well-scoped, executable plans. • Break down complex initiatives into milestones that support predictable, high-quality delivery. • Maintain strong engineering standards across code quality, testing, documentation, and operational reliability. • Identify and address technical risks and process gaps before they impact delivery. • Help hire and grow the team thoughtfully as Fixify scales.

• Run the shift — own coverage, workload distribution, and service quality from start to handover. • Act as the first escalation point for complex or high-impact incidents, and make sure analysts have the support they need to resolve them. • Ensure every handover is complete and accurate, so the next shift can pick up without losing a beat. • Monitor shift-level performance and communicate issues, trends, and risks to IT Operations management. • Keep the operational environment stable — identify blockers, manage risk, and escalate personnel or performance concerns when needed.

• Work collaboratively with other engineers on all aspects of our product. • Take ownership of feature delivery in horizontally scalable messaging pipelines. • Ensure the rounded corner of every button in the UI is just right. • Immerse yourself in our users' environments and refine your work based on their feedback. • Communicate clearly with our users.