Lokker careers: remote jobs, culture and where they hire

Lokker does not publish its funding history. Third-party trackers report a seed round of about $5M in December 2020 and total funding of roughly $5.9M over four rounds, the most recent a $2.55M debt round in April 2025; investor names are not disclosed. The careers page describes the company's stage as past "startup uncertainty" with real market pull, growing quickly while still moving with founder-level urgency.

Lokker helps organizations understand and control how data is collected and shared across their websites and apps. Its platform continuously monitors client-side activity (scripts, pixels, fetches and XHR calls) to expose who is collecting data, where it goes, and whether consent controls actually work. The product line includes Privacy Edge for portfolio-wide scanning with risk scores and evidence-grade reports, Consent Validator for testing consent tools across accept, reject and Global Privacy Control states, Guardian, a client-side firewall that blocks outbound trackers before data leaves the browser, a browser extension, a Partner API for insurance underwriting workflows, and Privacy Academy for training. Customers include enterprises, defense-side legal teams, and cyber insurance carriers and underwriters.

The company was founded by Ian Cohen, previously CEO of Credit.com and Chief Product Officer at Experian, who the company site says founded Lokker in 2021 after seeing the same pattern repeatedly: consent managers missing or misconfigured, ownership spread across teams, and no shared source of truth for what was really running on production websites. Michelle Dennedy, former Chief Privacy Officer at Cisco and at McAfee/Intel Security and co-author of The Privacy Engineer's Manifesto, is CXO. The advisory board includes T.J. Donovan, former Attorney General of Vermont, Aaron Alva, a former lead technology advisor at the FTC, and Roman Pacewicz, former Chief Product Officer of AT&T Business, as chairman.

Ian Cohen, Founder and CEO. Before founding Lokker in 2021, served as CEO of Credit.com and as Chief Product Officer and General Manager of Experian's consumer business, where he focused on consumer-permissioned data. Publicly frames Lokker as a response to privacy laws expanding faster than website governance can keep up.

The careers page leads with stage, not perks: Lokker says it is no longer proving the problem exists, that enterprises, legal teams and insurers already rely on it, and that it is growing quickly while keeping founder-level urgency. The pitch is meaningful ownership, hard problems and visible impact, with an explicit promise that you will not disappear into corporate layers: you ship, advise, collaborate, and see your work directly influence product and customer outcomes.

The open Data Scientist role shows what the technical work looks like: Lokker has built a large proprietary dataset from years of observing real-world web behavior, and the job is turning it into classification, scoring and risk intelligence. Explainability is a stated requirement because the outputs are read by privacy teams, engineers, lawyers and insurers, and the posting frames it as primarily a structured-data machine learning problem with room for LLMs where they add real value.

Lokker is distributed by design: the team is mostly remote in the United States, with teammates in Colombia and Ireland, and the company says it keeps collaboration sharp through strong written communication, thoughtful async habits and clear accountability. Three stated working principles are high ownership (the person closest to the problem drives it forward), cross-functional by default (engineering, privacy, legal, product and go-to-market work together), and fast pace with sustainable standards (quick, but no cut corners on quality, customer trust or team integrity).

The careers page describes who thrives there as high-agency people who execute with curiosity: engineers with range who move from architecture to implementation quickly, inquisitive operators who keep pulling until the root cause and the practical fix are both clear, and commercial builders who can translate technical nuance into customer value. Privacy-domain background is called valuable but not required; curiosity and ownership matter most.

As of October 2026 Lokker lists two openings: a Data Scientist (Classification and Scoring), remote and full-time, and an Account Executive for privacy and web security, remote in the US on Eastern or Central time. Applications go through a short form on each posting (name, email, resume, optional cover letter and note) and the company says all applications go directly to the hiring team; the October 2026 Hacker News posting adds that a human reads every application. Beyond the posted roles, the careers page invites exceptional people to email jobs@lokker.com with what they have built.

The Data Scientist posting asks for 2 to 4 years of hands-on production experience developing, validating and deploying ML models for classification, prediction or scoring, strong Python and SQL, pandas or Polars and scikit-learn, experience with messy and imbalanced real-world datasets, rigorous evaluation habits (the posting wants someone who can tell when strong metrics mask overfitting or slice-level failure), and practical LLM experience beyond demos. It states plainly that you do not need a privacy or adtech background: the company will teach the domain.