Outcomes

1. Strategy & planning become a trusted thought partner, where the founder can hand off ambiguous strategic questions and get back decision-ready analysis

2. Hiring lead hiring two additional engineers in SF in the first few months.

3. Project management set up processes so that every team has robust goal setting, metrics, reporting and accountability team wide.

4. Systems & gap filling take over responsibilities such as company controls, processes, and automation. For example, own compliance calendar, CRM management, and BI systems so that founder time is ~0.

5. AI & Automation connect systems, data, and AI for more connected and better decision making. The goal is to have all relevant company data accessible from a single place and queryable to systems. With the knowledge base systems being first, with the goal of having a live and reliable company knowledge base. The first step should be done in the first few months.

Competencies (ABC)

• Project management: know how to manage projects, create plans, and execute against them while keeping everything organized .

• AI forward: have used Claude Code or Codex successfully for real use-cases. Understand (high-level) some of the technical aspects including context window, tool-calling, subagents, and more. Excited and curious about leveraging these tools to increase our leverage.

• Automations: used tools to create automations around common workflows.

• Strategic thinking: demonstrate the ability to think in both the micro and macro levels, and how to effectively plan and execute to reach long-horizon goals.

• Competent with computers: you don’t need to be an engineer, but you can’t be a luddite. You need to be a proficient user of computers.

• Research, learning and consumption of information: you’re able to pickup up new topics quickly and be able to execute in new domains in short amounts of time.

• Work in ambiguity: startups operate in high ambiguity environments. You need to be able to successfully plan and execute with missing information and constantly adapt as new information presents itself.

• Scientific: you need to know how to construct good experiments, read data, and draw conclusions.

Qualities (ABC)

• Smart: raw intelligence and quick thinker.

• Resourceful: scrappy as a default, but also spends when needed.

• Wants to win: driven, competitive, and focused on winning.

• High energy: knows there’s a lot to be done, and has the energy to push it forward.

• High agency: figures out what needs to be done and does it. Finds solutions to problems, and realizes we control our own destiny.

• Not lazy: willing to do the work, automating when needed, but not outsourcing thinking. LLMs are a powerful tool, but they shouldn’t replace thinking or be used for things they are not suitable for.

• Thorough: follows tasks through to completion and pays close attention to detail, ensuring nothing is overlooked and the quality is high.

• Values aligned : aligned with our values.

General guidelines

• We like candidates with varied backgrounds - don't be shy, apply!

• Hackers/OSS devs welcome, even without extensive work history. Checkout our OSS repo on Github.

• Please include a few words on why you'd like to work at Svix.

• All roles are full-time - no students or part-time.

A meeting lands on your calendar

If they’re a yes, I book the chat. You show up — that’s the whole job-hunt.