Future roles at Kirkwood

Leadership roles we’re exploring in the San Francisco Bay Area.

Leadership roles

These are future roles, not active openings. The salary ranges below are proposed annual base salaries. We are not accepting applications yet.

San Francisco Bay Area$200,000–$300,000Proposed annual base salary

Build and run the finance function, from cash planning and monthly reporting to fundraising and product margins.

Own budgets, cash forecasts and the financial plan for hiring and growth.
Run monthly reporting and coordinate accounting and tax work with outside specialists.
Prepare investor reporting, fundraising materials and the financial data room.
Track API and edge deployment costs, evaluate pricing and manage vendor spending.

Establish a reliable cash forecast, monthly reporting and a clear view of product margins.

San Francisco Bay Area$250,000–$350,000Proposed annual base salary

Lead the team building our camera analytics API, customer application and edge software. Stay close to the code and to customer deployments.

Set engineering priorities and turn product requirements into reliable releases.
Own the API, customer application, camera integrations and cloud and edge infrastructure.
Build the engineering team and establish clear standards for security, reliability and delivery.
Work with the AI team to bring model improvements into the product.

Experience leading engineering teams and shipping software for business customers.
Strong backend engineering skills and experience operating APIs and distributed systems.
Good judgment about architecture, hiring and what a small team should build first.
Experience with video, edge devices or inference infrastructure is useful.

Make camera onboarding and API integration reliable, improve service monitoring and simplify releases.

San Francisco Bay Area$275,000–$400,000Proposed annual base salary

Lead the models behind Kirkwood’s security, safety and retail analytics, from training data and evaluation through production inference.

Own the model roadmap for incident detection and camera analytics.
Lead training, evaluation and deployment of vision and multimodal models.
Set data collection and labeling priorities, keeping evaluation footage separate from training.
Improve missed detections, false alarms and inference costs across real camera conditions.

Experience shipping computer vision or multimodal models into a working product.
Strong practical knowledge of training, evaluation and inference.
Ability to trace model errors to data, labels, model behavior and deployment conditions.
A hands-on approach to research, engineering and technical leadership.

Strengthen evaluation on real footage, address the most costly model errors and make releases repeatable.

Kirkwood builds camera analytics for physical security, safety and retail. Our API detects incidents and counts people using existing cameras.