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Open nowPosted 130 days ago

Architecture

Specter36 open roles

Where
San Francisco
Work mode
On site
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Your applicationOpen nowArchitectureSpecter · San Francisco

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Specter's own form.

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The clock on this job

Early applications get read.

13.7% of postings close within 7 days. Measured by our own scanner across the market. Specter postings stay open a median of 28 days.

Share of postings closed within
  1. 2.3%1 day
  2. 4.8%3 days
  3. 13.7%7 days
  4. 22.1%14 days
  5. 37.6%30 days
  6. 59.1%60 days
This job: posted 130 days ago

Specter median: 28 days open

The posting

Company Background Specter's mission is to help automate the physical world.

Today, we build video sensors with state-of-the-art AI agents that answer any question, anywhere in their environments. Our systems can automatically detect and reason about any physical activity captured on camera, from security incidents (e.g. perimeter intrusion, theft, LPR), to safety monitoring (e.g. PPE detection, injured people), to operational efficiency (e.g. material tracking, congestion monitoring). We offer both long range wireless (1km range) and wired sensor variants to suit any deployment.

Our co-founders Xerxes and Philip are passionate about empowering our partners in the fast approaching world of physical AI and robotics. We are a small, fast growing team who hail from Anduril, Tesla, Uber, and the U.S. Special Forces.

The Role Specter is hiring a product architect to shape the next generation of our products. You will work across engineering teams to explore strategic technical directions, synthesize and drive the requirements of new products, and perform experiments that uncover optimization opportunities and the motivation to invest resources into them.

Responsibilities:

- Identify the highest-leverage technical questions facing the product roadmap, and design experiments that resolve them with the least amount of work.

- Survey emerging technologies - sensors, radios, compute, protocols - and translate raw capability into product implications the team can act on.

- Synthesize requirements for new products and features by working backwards from customer environments and forwards from what the hardware-software stack makes newly possible.

- Build minimum viable prototypes that de-risk the riskiest assumption first, and write up findings clearly enough that engineering, product, and the founders can make decisions from them.

- Partner with RF, firmware, ML, and platform teams to hand off validated directions, then stay close enough to course-correct as they are implemented into production.

- Own ambiguous, cross-disciplinary problems end-to-end: scoping, planning, building, measuring, and deciding what's worth shipping.

Qualifications:

- 3+ years building real things that shipped - bonus if at least one of them was a 0-to-1 product where you set the direction, not just executed it.

- Strong prototyping methodology - you instinctively reach for the minimal experiment that answers the key question, rather than the impressive one.

- First principles thinking - comfortable working in domains where the textbook answer doesn't exist yet, and willing to derive from physics, math, or measurement instead of analogy.

- Strong engineering fundamentals across software and hardware - you don't need to be world-class in any one stack, but you can read a datasheet, write the script, wire up the bench, interpret and present the results.

- Experimentation instinct - you're driven to find answers to important questions and, more importantly, excel at asking the right ones.

- Self-directing - you turn an open-ended prompt into a plan, a plan into a result, and a result into a recommendation without needing the loop closed for you.

- Clear technical writing and communication - your experimental results change minds because they're honest about what was and wasn't proven.

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    The review screen in CV Rocket: how each CV was read, round by round.

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