
11 - 50 employees
💸 Finance
🤝 B2B
☁️ SaaS
Finance • B2B • SaaS
Emergence is a venture capital firm that focuses on investing in early- and growth-stage enterprise software and cloud/SaaS companies. It partners with founders building B2B platforms and services, providing capital and operational support to help scale businesses in the enterprise software space.
🕒 July 29
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11 - 50 employees
💸 Finance
🤝 B2B
☁️ SaaS
Finance • B2B • SaaS
Emergence is a venture capital firm that focuses on investing in early- and growth-stage enterprise software and cloud/SaaS companies. It partners with founders building B2B platforms and services, providing capital and operational support to help scale businesses in the enterprise software space.
• Own all architectural decisions across Node 20, Express, and TypeScript — accountable for production outcomes • Write and review production code regularly — estimated 40–60% of your time, with the remainder owning architectural oversight, resource allocation, and technical coordination across the stack • Define engineering standards across the team: code review gates, testing coverage, observability requirements, and incident post-mortems • Lead technical decisions on LLM workflows, RAG pipelines, MCP integrations, and AI cost management • Own the integration layer between the Node/TypeScript backend and Python automation layer, preventing cascading failures • Drive infrastructure maturity with the DevOps Engineer: IaC standards, observability baselines, AWS ECS Fargate migration • Own how the engineering team operates — allocate technical resources across workstreams, sequence priorities, remove blockers, and ensure the team is running at full technical capacity • Identify and resolve technical debt proactively through architecture reviews and refactoring sprints • Communicate architectural trade-offs to non-technical stakeholders, translating constraints into business impact • Serve as the technical counterpart to Product leads — translate business direction into engineering decisions, surface risks early, and own the feedback loop on what is being built and how • Embed AI tools and smart tooling choices into how the team works, setting the standard for what high productivity looks like in a lean, high-output engineering team
• 7+ years of software engineering, with a track record of owning both architectural decisions and the delivery machinery around them — not just writing code but making sure the right code gets written by the right people at the right time • Deep Node.js and TypeScript in production — owned a backend, debugged performance issues, optimised queries • Designed and shipped distributed systems: async queues, caching layers, pub-sub, background job orchestration • Python engineering experience sufficient to review architectural decisions and own automation layer integration boundaries • Acted as technical lead for a team of 5+ engineers — owned resource allocation, sequencing, and delivery quality without relying on a PM or EM to run the execution layer • Owned a production incident end-to-end: detected, diagnosed, fixed, post-mortem, and prevention deployed • Communicated architectural trade-offs clearly to non-technical stakeholders • Demonstrated track record of building high-output engineering culture in a lean team — using AI tools, smart tooling choices, and rigorous technical standards to punch above headcount
• 100% remote with flexible hours • Competitive compensation based on experience • Professional development budget for certifications and tooling • High-ownership role across a scaling B2B SaaS portfolio
Apply Now🕒 July 29
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