Fixify

• Deliver prompt, high-quality technical support to end users — diagnosing and resolving issues across productivity tools, operating systems, and identity and access management. • Communicate clearly and professionally with customers through every interaction, including the complicated ones. • Collaborate with Engineering to develop and improve IT automation workflows that reduce manual work over time. • Participate in shift rotations as part of a 24/7/365 support operation.

Role Description You've been the person in the room who actually knows why it's broken. Not just the surface issue — the underlying configuration, the edge case the vendor didn't document, the thing that only shows up in enterprise environments at scale. You've resolved it, written it up, and made sure the next person doesn't have to figure it out from scratch. But you've also noticed something: the most interesting part of the job isn't always the ticket. It's the pattern behind the tickets. The workflow that shouldn't be manual. The AI capability that could handle this class of issue entirely. The product gap that keeps showing up in escalations. You want to work somewhere those observations go somewhere — into real systems, real automation, real improvements. At Fixify, we're building an AI-native IT automation platform that combines technology with a human touch. As a Senior IT Operations Analyst, you'll sit at the intersection of live operations and the product that powers them. You'll handle the escalations that need real expertise. And you'll spend a meaningful portion of your time working directly with Engineering, Product, and Customer Success to translate what you see in the field into better workflows, smarter automation, and a platform that keeps getting sharper. This is a senior individual contributor role. The expectation is that you bring deep technical judgment, mentor the analysts around you, and help shape how Fixify's AI capabilities evolve in real customer environments. Qualifications - 5+ years of experience in IT support or IT operations, with demonstrated experience as a senior escalation point or technical subject matter expert. - Expert-level knowledge of Google Workspace, Microsoft 365, Slack, and Microsoft Teams in enterprise environments. - Expert-level knowledge of Windows and macOS, including deep diagnostic and troubleshooting instincts. - Expert-level understanding of Identity and Access Management concepts and troubleshooting. - Strong working knowledge of networking fundamentals, including TCP/IP, DNS, VPNs, and Wi-Fi. - Experience with help desk platforms, including tools like Jira, ServiceNow, Zendesk, or Freshdesk. - Working knowledge of MDM solutions, including JAMF or Microsoft Intune. - Hands-on experience with scripting, automation, or AI-assisted tools — including PowerShell, Bash, Python, or similar. - Familiarity with security policies and IT best practices. - Clear communication skills across technical and non-technical audiences; you can write an escalation summary and a product feedback doc with equal clarity. - A genuine interest in automation and AI — and the instinct to ask "why is this still manual?" when you see something that shouldn't be. - Experience contributing to automation, tooling, or platform improvements within an IT or security context. Requirements - Act as the senior escalation point for complex, high-risk, or ambiguous customer issues — and provide technical guidance that helps analysts grow. - Partner with Engineering to support the design, rollout, and refinement of product features based on what you see in real customer environments. - Identify, design, and help deploy automation that improves efficiency, accuracy, and consistency across operations. - Collaborate with Customer Success on onboarding, escalations, and delivery improvements for key customers. - Surface recurring issues, bugs, and improvement opportunities to Product and Engineering with clear, actionable context. - Participate in an on-call rotation for after-hours escalations and critical incidents. Benefits - Flexible work environment: 100% remote with flexible core working hours. - Time to recharge: Unlimited PTO plus 12 paid federal holidays. - Connectivity stipend: $150 monthly to support cell phone, internet, or equipment expenses. - Retirement: Participation in our 401(k) program. - Equity: Option grants to purchase shares through Fixify's equity program. - Health insurance: Medical, dental, and vision coverage with 100% of your deductible covered by Fixify. - Parental leave: Paid parental leave for birth, adoption, or surrogacy.

• Build new integrations end-to-end and contribute to the platform that supports them. • Spot patterns across integrations and pull them into shared abstractions so the next ten don't repeat the last one. • Work on more than the standard API-and-poll model: webhooks, callbacks, iPaaS bridges (Okta Workflows, Tines), and browser-driven flows where vendor APIs fall short. • Collaborate with cross-functional teams to ensure high-quality integration solutions.

• 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

• Own the integrations strategy as a workstream rather than a series of decisions made under pressure. • Drive architectural decisions across multiple quarters and multiple integrations, including the trade-offs between extracting shared abstractions now versus carrying duplication for a defined period. • Design the authoring framework that lets FDEs, contractors, and AI agents extend the platform safely, treating that authoring surface as a first-class platform problem. • Coach the team through pairing on hard design decisions before they ship and running design reviews as a teaching forum. • Share the escalation and surge surface, take your turn in the maintenance rotation, and treat operability as part of platform design rather than a follow-up task. • Read CS threads, POPs escalations, and customer-facing reality as input to the strategy, not as interruptions. • Frame staff-shaped projects so other engineers on the team can take meaningful pieces. Treat platform work as a multiplier rather than a personal portfolio.

• 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.