Semgrep, the leader in code security for builders, empowers invention without friction. Teams catch, flag, and fix real issues before they ship, powered by security that learns as they build. Semgrep secures code as itâs written and provides guardrails that pave the road for developers to move fast and stay secure. Built for builders and trusted by security, Semgrep lives where developers work, delivering fixes without breaking flow, and giving security teams visibility, control, and confidence. Semgrep gets smarter as you build, with AI that learns your context to cut false positives and prioritize reachable vulnerabilities, validated by 95% of security reviewers across 6M+ findings. Semgrep makes zero false positives a reality with AppSec teams triaging 80% fewer false positives across Code and Supply Chain, dramatically shrinking the backlog.
Founded in San Francisco and backed by Menlo Ventures, Felicis Ventures, Lightspeed Venture Partners, Redpoint Ventures, and Sequoia Capital, Semgrep is recognized by Gartner in Application Security Testing and is trusted by leading organizations, including Snowflake, Dropbox, and Figma. Learn more at semgrep.dev.
You will be an early member of Semgrepâs data team. Your mission will be to define how an entire company uses data, always striving to best improve our usersâ security. You will work on a diverse set of problems, touching every aspect of the startup: extracting product insights from usage metrics, determining business strategy from market data, crafting production data pipelines, and defining where to direct our security research. This is a growth role: while you will start as an individual contributor, initially contributing to a quarter-long project while growing your technical skill set and domain knowledge to start taking on more responsibility and influencing data and business decisions within the company/
Along the way, you will work with a dedicated group of full-stack, backend, and infrastructure engineers, as well as security researchers and program-analysis developers. You will learn what it means to have âsecure-by-defaultâ code. You will meet and collaborate with security-industry scions. And, as a member of our team, youâll be a part of the decisions that make a high-growth startup successful. Your work will be critical to our mission. Every feature you build will have a measurable impact on our usersâ lives. Weâre excited to see what you do.
Contribute to specific data science projects and initiatives at Semgrep; discovering each departmentâs most pressing data problems, and proactively identifying the most critical areas to focus your efforts
Bring your wide knowledge of data-science approaches to each problem you solve: the first day you might build a dashboard to track Board level metrics for the Engineering team, the second you might apply multivariate regression to identify important product features, the third you might apply active-learning techniques to guide data collection and labeling
Iteratively tackle problems as a series of experiments, proving the value of your work with proof-of-concept to ever more refined results
Convince your peers of your conclusions with clear data visualizations and well-reasoned explanation
Help grow your team through the recruitment and hiring of top data talent
2+ years of experience in data and strategy fields
Knowledge of data-science approaches; this may include machine-learning algorithms, optimization methods or symbolic artificial-intelligence, but should also include statistical methods and âgood-enoughâ heuristics â and the taste to know when to use each
Experience clearly visualizing information and experimental results across the full company stack: Board-level, leadership team, and individual team leads
Sufficient familiarity with production data-processing pipelines to construct them working together with generalist infrastructure engineers; tools we use include S3, FiveTran, DBT, Snowflake, Metabase, Retool, Sagemaker/JupyterNotebook (Python)
Aptitude delivering technical projects via rapid iterative development
Experience working on a small team in a fast-paced environment and are willing to experiment with different approaches before settling on the best and most elegant solution given time constraints
Excellent, proactive communication, both verbal and written
Build a client-facing dashboard showing scan time metrics over time to show how the product is improving
Work together with Product leadership to identify the correct north-star metrics to measure Product usage and what features to build next
Partner with the rule-writing team to identify the most impactful rules and languages to focus on in real-time
Build out cleaned/medallion Silver and Gold tables in our Data Lakehouse for internal engineering and product teams to self-serve their analytics needs
Build an S3 â Snowflake data pipeline and processing engine to improve Repo contributor count metrics for Billing team
Build a statistical model that analyzes pseudonymous usage data to recommend the next features built into the Semgrep open-source tool
Consume infrastructure observation metrics to identify and address potential Semgrep.dev registry outages before they occur
Recruit varied and disjoint data into a âNorth Starâ metric for the performance of the Semgrep open-source tool over time
Craft a security-rule-recommendation decision tree, using codebase features like languages, frameworks, code sentiment, and commit-message sentiment, to deliver targeted, high-value static-analysis rules to usersÂ
Location expectations:
Our expectation is that this role will be hybrid - requiring 3 days a week in our San Francisco office .
The estimated starting annual salary range for this position is $125,000 - $147,000 USD. The actual base salary will be determined based on a number of factors, which may include job-related skills, relevant experience, qualifications, location, internal equity, and market data. In addition to base salary, total compensation may include equity, variable compensation, and benefits. We view equity as a meaningful part of our compensation philosophy and a way for employees to share in the long-term value they help create.
Compensation ranges are reviewed regularly and may be adjusted as the role, individual performance, or market conditions evolve.
Our goal is to competitively and fairly compensate every Semgrep employee with a system that equally rewards those who are vocal and those who are less comfortable making demands during the final steps of the hiring process. To that end, we generate internal compensation bands that are used when discussing and negotiating salaries. We update these based on market data to make sure theyâre above the average for comparable roles.
We invest in our employeesâ well-being and long-term success through a competitive, market-aligned benefits program that meets or exceeds local market standards across all of the regions in which we hire. Benefits offerings vary by location to reflect local requirements and norms. For more detailed, location-specific information, please visit Semgrep Benefits.
We bring together people from a wide range of backgrounds and disciplinesâfrom physics and philosophy to formal methods research and full-fledged corporations. Weâre new parents and new grads, dog lovers and dogfooders. We get together often to bike, bake, and meet up in parks. In our interactions, we believe respect and honesty go hand in hand, and prioritize both.
Semgrep is an equal-opportunity employer seeking a diverse range of backgrounds. We value who you are â including your cultural heritage, your socioeconomic status, your age, your race, your gender, your sexual orientation, your disabilities. We value whatâs vitally important to
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