---
title: 'Business Operations Generalist at Specter'
canonical: 'https://feeny.ai/job/business-operations-generalist-specter-san-francisco-w1x3sn4b032e'
type: 'job'
last_seen: '2026-11-02'
---

# Business Operations Generalist at Specter

- **Company:** Specter
- **Location:** San Francisco, CA
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-10-22
- **Last confirmed live:** 2026-11-02
- **Apply:** https://jobs.ashbyhq.com/specter/e6ba0f80-e2a5-4532-9fae-01f0b19ea28f

## Job description

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

We are looking for a Business Operations Generalist to join Specter's lean BizOps team. This person will work across deal support, pricing, market strategy, planning, finance, and company systems. Today the work leans more commercial, including working with our GTM teams on sales materials, customer value cases, and proposals. In a given week, it can mean a customer business case one day and a CRM cleanup the next. Some of it is strategic. Some of it is unglamorous. Part of the job is building the templates and systems that make that work repeatable, so the role will likely look different in 6 months, and may be less GTM oriented then. We want someone who enjoys that variety, jumps into new problems as they come up, owns the outcome, and leaves each process better than they found it. The right person is analytical, commercially sharp, highly organized, and comfortable working with leadership, sales, finance, product, and engineering in the same day.

## Responsibilities

- You will put together pricing, proposals, customer business cases, and value models for complex deals, and support contract review. Over time, you will turn this work into templates and systems the sales team can run on their own.
- You will build business cases for new markets and new products, and keep the team current on what competitors are doing.
- You will help leadership and the sales team see the pipeline clearly through forecasting, CRM hygiene, and dashboards.
- You will support planning, budgeting, and board and investor reporting, and track spend across the business, including production, R&D, SaaS, and vendor spend.
- You will build processes, documentation, and decision frameworks where today there may only be spreadsheets, Slack threads, and ad hoc decisions.
- You will handle the day-to-day work that keeps the business running: cleaning up data, coordinating vendors, chasing down numbers, and taking problems from "someone should figure this out" to a clear owner and outcome.

## Qualifications

- 3 to 5 years of experience in consulting, investment banking, or investing, or in business operations, revenue operations, or a similarly analytical role at an early-stage, high-growth startup.
- Strong with spreadsheets and financial models, and comfortable in a CRM.
- Strong written and verbal communication skills.
- Good judgment and the ability to prioritize when everything feels urgent.
- A low-ego team player who takes on the detailed, behind-the-scenes work without being asked and improves it over time.
- A builder mentality: you are excited to create the first version of a system and turn one-off work into something others can reuse.
- A generalist who enjoys variety and is excited to take on whatever problem matters most, knowing the role will change as the company grows.
- Comfortable working without much direction or full context. You find what you need, make a reasonable call, and flag what you assumed.
- You use AI tools to improve systems and get more done, without handing your thinking to them.
- Interest in physical AI, hard industries, critical infrastructure, defense, energy, or industrial technology and the ability and desire to get up to speed on technical products.
- Based in San Francisco and excited to work in person.

## About Specter

## Company Overview
- **One-liner**: Specter builds and deploys long-range wireless sensing networks with AI-powered real-time alerts and semantic search, creating the perception layer for the physical world.
- **Entity Type**: Private (funding stage not publicly disclosed)
- **Headquarters**: Not publicly available (likely US based on website language and job postings)
- **Founded**: Not publicly available
- **Founders**: Not publicly available

## Core Business
- Primary industries: Physical security, critical infrastructure monitoring, industrial IoT, real-time situational awareness
- Target customers: Enterprise and government – including energy companies, data centers, construction firms, ports, stadiums, industrial facilities, and campuses
- Mission statement: "Creating a Software Defined Physical World" – providing instant awareness through real-time alerts, semantic search, and a map-based view of every event

## Products & Services
- **Specter Platform**: A SaaS-based physical intelligence platform that ingests data from long-range wireless sensors (video, thermal, acoustic) and applies general AI (natural language alerts) to detect events such as unauthorized access, safety hazards, equipment anomalies, fires, spills, and perimeter breaches. Features include semantic search, live and historical event detection, and complete situational awareness dashboards.
- **Long-Range Wireless Sensing Network**: Proprietary hardware and software for rugged, wide-area coverage without trenching – deployed across refineries, deserts, offshore platforms, construction sites, and other harsh environments.

## Market Standing
- **Valuation/Market Cap**: Not disclosed
- **Key Metric**: Annual revenue not publicly available; company is actively hiring (Software Engineer – Systems listing) and has a live product across multiple industry verticals.
- **Notable Investors/Partners**: Not publicly available
- **Growth Signals**: Recent website updates as of June 2026; expanding to new use cases (energy, data centers, construction, ports, stadiums); job openings indicate scaling engineering team.

## Competitive Advantages
- **Long-range wireless sensing** that eliminates blind spots without trenching or on-site personnel – a differentiator for remote and harsh environments.
- **General AI with natural language alerts** – users set and query alerts in plain English, lowering the barrier for security and operations teams.
- **Multimodal sensing** (video, thermal, acoustic) combined with real-time analytics for high-fidelity event detection (e.g., PPE compliance, spills, equipment theft, person-down incidents).
- Focus on **critical infrastructure** where downtime or security gaps carry high stakes, creating deep vertical-specific moats.

## Strategic Focus
- Expanding horizontal deployment across energy, data centers, construction, logistics, and campus security.
- Deepening AI capabilities through real-time semantic search and event detection to replace traditional CCTV monitoring.
- Building a “software-defined physical world” that unifies disparate sensors into a single intelligent layer.

## Why Work Here
- Opportunity to work on cutting-edge AI + IoT systems that monitor real-world infrastructure at scale.
- Engineering culture likely emphasizes distributed systems, computer vision, edge computing, and high-reliability software (based on job description for Software Engineer – Systems).
- Fast-paced startup environment with a clear product-market fit across multiple verticals.
- Remote/hybrid policy not explicitly stated; job posting does not specify location, but likely offers flexibility.

## Sources
1. [specter.co](https://specter.co/)
2. [specter.co/product](https://specter.co/product)
3. [specter.co/industries](https://specter.co/industries)
4. [specter.co/features](https://specter.co/features)
5. [jobs.ashbyhq.com - Software Engineer – Systems](https://jobs.ashbyhq.com/specter/fe26a690-7934-46f4-bce2-8d8c5495a0dc)

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- [Optics & Camera Engineering Lead](https://feeny.ai/job/optics-camera-engineering-lead-specter-san-francisco-021ech8bvbse) — San Francisco, CA
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- [Manufacturing Engineer](https://feeny.ai/job/manufacturing-engineer-specter-san-francisco-g75553wbxwx6) — San Francisco, CA
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