Macroscope aims to be the source of truth of what's happening for any company that builds software. Our mission is to give leaders clarity and engineers time.
We help leaders understand how their products and codebases are evolving—what’s changing, who’s working on what, and where progress is happening—grounded in the ultimate source of truth: the code.
Macroscope is founded by former entrepreneurs who have started and sold multiple companies, and operated as product/engineering executives at public tech companies. We're fortunate to be supported by the best VC firms and angels in the business, including Lightspeed Venture Partners, Thrive Capital, Google Ventures, and Adverb.
About the roleWe're looking for a GTM Engineer to build the systems and workflows that power how Macroscope finds, sells to, and supports customers.
You'll work at the intersection of sales, customer success, engineering, and product. Your job is to identify bottlenecks, eliminate manual work, and build scalable systems that help our team move faster.
You'll own large parts of our go-to-market infrastructure, including CRM architecture, lead routing, enrichment, onboarding workflows, reporting, internal tooling, and AI-powered automations.
We're a small team, so you'll have significant ownership from day one. You'll work directly with founders, engineers, sales, and customer success to solve problems across the company. The systems you build will directly influence how we grow.
We're looking for someone who loves building. Someone who sees a repetitive process and immediately starts thinking about how to automate it. Someone who experiments with new AI tools because they're genuinely curious about what's possible.
QualificationsExperience building operational systems, automations, or internal tools
Comfortable working with APIs and integrating systems together
Experience writing code in Python, JavaScript, TypeScript, SQL, or similar languages is a strong plus
Early adopter of emerging AI technologies with a track record of practical implementation
Experience evaluating and implementing new AI tools
AI-native operator who instinctively looks for opportunities to leverage automation, agents, and generative AI to achieve better outcomes.
Experience at an early-stage startup
Experience with modern GTM tooling and enrichment platforms
Background in software engineering, data engineering, revenue operations, or technical operations
Experience building AI-powered internal tools or workflows
Experience working in B2B SaaS or developer tools
Experience supporting technical sales or customer-facing teams
You are extremely high agency. We are a small startup and we intend to keep an extremely flat organizational structure for as long as possible. Instead of relying on people managers, product managers and heavy processes, we rely on exceptionally talented individuals with high agency to be self-motivated towards contributing to our mission.
You want to work at an early stage start-up. The default state of any startup is failure. The only way to overcome the daunting odds of making a startup venture successful is for a densely packed group of insanely hard working and talented people to work together to building something useful to and loved by customers. If you're not willing to work extremely hard on something high risk, this startup isn't for you.
You act like an owner. You put immense care and craft into what you build because you take responsibility for all parts of the product. You don't walk past broken windows.
You care about what we're building. Life's too short to work on something you're not passionate about. We are a small group of ambitious people who want to build something insanely great that we want to use, and that we think every company will want to use. If our mission and product doesn't resonate with you, we understand and would encourage you to find something that does.
Similar Jobs
What you need to know about the San Francisco Tech Scene
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine



