Engineering Village Jobs in Berkeley, CA

We're working with a fast growing AI startup in SF that's hiring a Forward Deployed Engineer to help identify and build high-impact solutions across the business.

This isn't a typical engineering role.

You'll be embedded directly with teams across sales, operations, and customer experience, spotting inefficiencies and quickly building AI tools, automations, and systems to solve them.

The focus is on impact, not perfection.

What makes it interesting is the environment:

• High ownership and real business impact

• Working across multiple functions, not just engineering

• Rapid build and ship cycles where ideas go live in days

• Constant exposure to the latest AI tools and capabilities

• 14 hour days in a high-intensity environment where you move fast and see results immediately

They're looking for people who:

• Are strong technical generalists (Python, TypeScript, SQL)

• Think in terms of business outcomes, not just code

• Are comfortable building quickly and iterating in real time

• Can communicate clearly with non-technical stakeholders

• Want to work at the intersection of AI and real-world operations

SF based, in office

$140K to $200K + bonus + equity

If this sounds interesting, feel free to message me or get in touch.

MatriScope Engineering Laboratories, Inc. (MatriScope) is a leader in providing professional services in the disciplines of Geotechnical and Environmental Engineering, Materials Testing, and Special Inspection Services. Over the past 20 years, MatriScope has built a strong reputation throughout Northern and Central California for providing exceptional service through a proactive project management approach, innovative practices and a commitment to maintaining its traditional values. MatriScope is headquartered in Sacramento, CA with additional offices in the Bay Area.

MatriScope has many long-term assignments, including prevailing wage projects, for the right candidates who have a proven track-record, strong work-ethic, and desire to participate as a team player. MatriScope offers competitive salary and benefit package.

POSITION OVERVIEW:

We are seeking Construction Inspectors that have the drive and integrity to work with clients and vendors. Previous inspection experience is needed in this role.

PRIMARY POSITION RESPONSIBILITIES:

Perform as an entry to lead inspector on various projects responsible for the inspection and documentation of construction in the areas of building code compliance, concrete, pre-stress concrete, shotcrete, masonry, steel, fireproofing, waterproofing, and roofing. Ability to properly interpret construction documents and prepare well-written and concise reports capturing all necessary elements is required.

• Must be able to properly follow directions, perform in a responsible manner with minimal oversight.
• Provide daily reports of observation and test results
• Monitor work procedures for compliance with project specifications
• Interact with client representative (supervisors, foremen, project managers, engineers, etc.) at project sites
• Perform analysis or calculations to check accuracy, applicability and reasonableness of testing data

REQUIREMENTS:

• Entry or senior level Special Inspector with current certifications by the International Code Council, American Welding Society, and American Concrete Institute.
• One (1) year of Special Inspector field experience.
• Ability to read and comprehend basic plans and specifications.
• Strong written and verbal communication skills and the ability to work with a team.
• Reliability – must be able to arrive at designated project sites prior to scheduled times
• Ability to prepare report s and documentation.
• Proficient computer skills required.
• Ability and willingness to travel and work at construction sites.
• Ability to lift up to 50 pounds
• Ability to walk on uneven ground and work in variable outside conditions.
• Must be able to work various shifts depending upon construction schedules
• Must have a satisfactory driving record in accordance with the Company's driving (MVR) policy.
• Comply with the Company’s auto insurance policy and must have a valid CA drive license.

CERTIFICATIONS NEEDED (Must Have 2 or More Certification):

• ICC Pre-Stressed Concrete
• ICC Reinforced Concrete
• ICC Masonry
• ICC Structural Steel & Welding
• ICC Soils
• AWS CWI
• ASNT UT / MT Level II
• ACI Grade I

PROJECT LOCATIONS:

• San Francisco / Peninsula
• San Jose & Surrounding Areas
• Livermore
• Sacramento

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

About tvScientific

tvScientific is the first and only CTV advertising platform purpose-built for performance marketers. We leverage massive data and cutting-edge science to automate and optimize TV advertising to drive business outcomes. Our solution combines media buying, optimization, measurement, and attribution in one, efficient platform. Our platform is built by industry leaders with a long history in programmatic advertising, digital media, and ad verification who have now purpose-built a CTV performance platform advertisers can trust to grow their business.

As a Sr. Machine Learning Engineer at tvScientific, you'll build the ML and AI systems behind our Connected TV ad-buying platform: real-time bidding, campaign optimization, and incrementality measurement at scale. We're an adtech company solving a hard problem: making CTV advertising actually measurable. Our platform helps advertisers buy ads across the CTV ecosystem: Hulu, Pluto TV, Disney+, HBO Max, and hundreds of FAST channels: and prove that those ads drove real business outcomes.

What you'll do:

• 
  
• Write production Python that powers real-time bidding, model training, and campaign optimization
  
• Train, deploy, and monitor ML models that decide which ads to show, when, and at what price: millions of bid decisions per second
  
• Build and improve our incrementality measurement systems: helping advertisers understand the true causal lift of their CTV spend
  
• Design and implement new ML products across the ad-buying lifecycle: audience targeting, bid optimization, pacing, and attribution
  
• Use LLMs and generative AI to build internal tools that accelerate how we develop, test, and ship ML systems
  
• Serve as a technical lead and mentor on a distributed engineering team
  

What we're looking for:

• 
  
• Strong production Python skills: you write code that runs in prod, not just notebooks
  
• Solid statistics and ML fundamentals: you can reason about experiment design, model evaluation, and when simpler approaches beat complex ones
  
• Familiarity with modern AI tools and good judgment about where they add value
  
• Adtech or CTV experience: familiarity with RTB, programmatic advertising, supply-path optimization
  
• Clear written communication: we're a distributed team and writing is how decisions get made
  
• Comfort with ambiguity: you'll own problems end-to-end in a fast-moving environment, from scoping to shipping
  
• Nice-to-Haves:
  
  • 
    
  • Teaching experience
    
  • Causal inference: uplift modeling, synthetic controls, difference-in-differences, or incrementality testing
    
  • Big data experience with Scala and Spark
    
  • Systems programming experience in Zig or similar (C, C++, Rust)
    
  • Reinforcement learning or bandit algorithms in production
    
  • Experience building agentic AI systems or LLM-powered workflows
    
  • MLOps experience: model deployment, monitoring, and pipeline orchestration on AWS
    
  
  
  

In-Office Requirement Statement:

• 
  
• We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
  

Relocation Statement:

• 
  
• This position is not eligible for relocation assistance. Visit ourPinFlexpage to learn more about our working model.
  

#LI-SM4

#LI-REMOTE

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

Our Commitment to Inclusion:

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

About tvScientific

tvScientific is the first and only CTV advertising platform purpose-built for performance marketers. We leverage massive data and cutting-edge science to automate and optimize TV advertising to drive business outcomes. Our solution combines media buying, optimization, measurement, and attribution in one, efficient platform. Our platform is built by industry leaders with a long history in programmatic advertising, digital media, and ad verification who have now purpose-built a CTV performance platform advertisers can trust to grow their business.

tvScientific is looking for aSenior QA Engineer for its Web Platformwith strong expertise inweb and API testing. This role requires a balance ofmanual testing excellenceandautomation skills, with a focus on validating end-to-end user flows across frontend, backend services, and APIs.

You will partner closely with frontend engineers, backend engineers, product managers, and designers to ensure our web platform and APIs are reliable, secure, and performant.

What you'll do:

• 
  
• Own and drivequalityfor web platform features, spanning UI, APIs, and backend services
  
• Design and executemanual test casesandexploratory testingfor complex web and API workflows
  
• Conduct thorough regression testing when bugs are resolved.
  
• Build and maintainautomated test suitesfor:
  
• Validatefrontend-backend integration, data consistency, and error handling
  
• PerformAPI contract testing, schema validation, and negative/edge-case testing
  
• Collaborate with engineers duringdesign, implementation, and code reviewsto improve testability and catch issues early
  
• Integrate automated tests intoCI/CD pipelinesto provide fast, reliable feedback
  
• Analyze test failures, investigate root causes, and drive issues to resolution
  
• Advocate for quality best practices, includingshift-left testing, risk-based testing, and automation strategy
  
• Identify, document, and track software defects using bug tracking tools like Jira.
  
  

What we're looking for:

• 
  
• Experience in QA / Quality Engineering, with a strong focus onweb platforms and APIs
  
• Proven hands-on experience withmanual testingof complex, consumer-facing web applications
  
• Strong experience building and maintainingAPI testsusing tools such as Postman, REST-assured, Supertest, or similar
  
• Hands-on experience withweb automation frameworks(Playwright, Cypress)
  
• Solid understanding ofHTTP, REST and API design principles
  
• Proficiency in at least one programming or scripting language (JavaScript, TypeScript)
  
• Experience working inAgile/Scrumenvironments
  
• Strong debugging, analytical, and communication skills
  
• Strategic partnership with stakeholders /Cross-functional collaboration that is high-trust and high-velocity
  
• Nice-to-Haves:
  
  • 
    
  • Experience testinglarge-scale, high-traffic web platforms
    
  • Familiarity withReact or modern frontend frameworks
    
  • Experience withperformance, load, or reliability testingfor APIs and web applications
    
  • Exposure to feature flags, experimentation platforms, or observability tools
    
  
  
  

In-Office Requirement Statement:

• 
  
• We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
  

Relocation Statement:

• 
  
• This position is not eligible for relocation assistance. Visit ourPinFlexpage to learn more about our working model.
  

#LI-SM4

#LI-REMOTE

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

Our Commitment to Inclusion:

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

With more than 550 million users around the world and 300 billion ideas saved, Pinterest Machine Learning interns help build personalized experiences to help Pinners create a life they love. With just over 3,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you'll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won't find anywhere else.

As a machine learning intern at Pinterest, you'll work on tackling new challenges in machine learning and artificial intelligence. You'll conduct research that can be applied across Pinterest engineering teams and engage in external collaborations and mentoring, while also performing research in any of the following areas: image recognition, user modeling, recommender systems,search, ads, ranking, natural language processing, neural networks, personalization, graph representation learning, and big data analytics.

Note to applicants:

By applying to this role, you will be considered for multiple intern roles open across our various ML teams. Please only apply once within the USA or Canada as multiple applications may delay our recruitment process.

Internships are 12 weeks paid, with fixed start dates in May or June to accommodate varying school calendars. Depending on the team, our summer internships will be located either remote or hybrid in San Francisco, Palo Alto, New York or Seattle offices.

We offer 2 internship start dates:

• 
  
• May 18, 2026 - August 7, 2026
  
• June 15, 2026 - September 4, 2026
  

What you'll do:

• 
  
• Lead your own project start to finish to contribute in cutting-edge research in machine learning and artificial intelligence that can be applied to Pinterest problems
  
• Collect, analyze, and synthesize findings from data and build intelligent data-driven models
  
• Write clean, efficient, and sustainable code
  
• Use machine learning, natural language processing, and graph analysis to solve modeling and ranking problems across discovery, ads and search
  
• Scope and independently solve moderately complex problems
  
• Demonstrate accountability for the quality and completion of your tasks and projects, collaborating with your team and seeking guidance as needed.
  

What we're looking for:

• 
  
• Working towards a PhD in Computer Science, ML, NLP, Statistics, Information Sciences or related field
  
• Proficiency in at least one systems language (Java, C++, Python) or one ML framework (Tensorflow, Pytorch, MLFlow)
  
• Experience with big data technologies (e.g., Hadoop/Spark) and scalable realtime systems that process stream data
  
• Experience in research and in solving analytical problems
  
• Strong communicator and team player with the ability to find solutions for open-ended problems.
  
• Preferred Qualifications:
  
  • 
    
  • Publications in machine learning, AI, data science, data analytics, statistics, or related technical fields
    
  • Interest in research and in applying ML to impactful real-world problems on the Pinterest product
    
  
  
  

Why Intern at Pinterest?

• 
  
• Meaningful Work: Contribute to projects that impact millions of users worldwide.
  
• Mentorship: Learn from and be guided by experienced engineers and researchers in the field.
  
• Growth and Development: Participate in professional development workshops and networking events to build your skills and connections.
  

In-Office Requirement Statement:

• 
  
• We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection
  
• This role may require you to be located near an office for in-person collaboration, and therefore may need to be located a commutable distance from one of our Pinterest offices.
  
  

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

US based applicants only

The salary for this position is $12,100 monthly.

#LI-HYBRID
#LI-EB1

Our Commitment to Inclusion:

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

Pinterest helps Pinners discover and do what they love. The Content Success team is responsible for ensuring that Pinners see fresh new products, ideas and inspiration in their recommendations and that Content Producers receive value from the platform through exposure, engagement and monetization. We work across different recommendation surfaces (Homefeed, Search, Related Pins, Ads) to develop new integrations and signals. We are looking for an experienced Engineering Manager who can drive the team's technical direction, lead the team in developing new integrations and signals for recommendation systems and make an impact on Pinterest's topline metrics.

What you'll do:

• 
  
• Lead, mentor and grow a team of experienced backend and machine learning engineers in developing advanced signals, integrations and systems, which are integral to key Pinterest products across Discovery, Ads, and Growth.
  
• Provide thought leadership in content distribution and recommender systems by setting a long-term technical vision and advancing the state-of-the-art in the field. Act as the glue between content acquisition and recommendation pods becoming the expert in both these areas.
  
• Manage project execution and stakeholder communication, including roadmap planning, technical decision-making, risk mitigation, and progress updates to achieve business goals.
  
• Help the team solve difficult technical challenges such as:
  
  • 
    
  • How to build new ML systems, candidate generators, features and models that can handle millions of new Pins every day with low latency to effectively distribute fresh content and be re-usable across recommendation surfaces?
    
  • How to determine what fresh content our Pinners will be inspired by and predict their future engagement metrics?
    
  • How to identify and remove biases from existing recommendation systems?
    
  • How to experiment with and measure the impact of content acquisition changes on the user experience?
    
  • How to enhance the titles of new content to increase their engagement?
    
  
  

What we're looking for:

• 
  
• 7+ years of industry experience, including 2+ years of management experience.
  
• Experience with:
  
  • 
    
  • developing and deploying large-scale machine learning systems in search and recommendations.
    
  • big data technologies (e.g. Hadoop, Spark) and scalable realtime systems that process stream data (e.g Kafka, Flink).
    
  • applying NLP models and LLMs to content understanding and recommendation systems.
    
  
  
• Experience building and leading high performing teams within a visible business vertical .
  
• Experience working with numerous cross functional partners to drive a collective initiative.
  
• Bachelors degree in a technical field, or equivalent work experience.
  

Relocation Statement:

• 
  
• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
  

In-Office Requirement Statement:

• 
  
• We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
  
• This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.
  

#LI-REMOTE

#LI-DM57

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

Our Commitment to Inclusion:

Senior Java/Kotlin engineer
Remote
6+ Month Contract: $70-$80 per hour
Our client is in search of a Senior Java Engineer for a 6+ month contract. You will lead the development and testing of our systems and services Participate in shaping the technical architecture of the product Help translate product requirements into user stories and technical solutions Deliver highly available and scalable services in a production environment Mentor other engineers, support the technical culture, and help grow the team Generate ideas for new initiatives and technologies Communicate with project leads, product managers and other software developers

• Systems Development: Lead and participate in the development and testing of our systems and services.
• Requirement Translation: Help translate product requirements into user stories and actionable technical solutions.
• Production Delivery: Deliver highly available and scalable services in a production environment.
• Cross-Functional Collaboration: Communicate effectively with project leads, product managers, and other software developers.

• Education: Bachelor's Degree in Computer Science or a related field.
• Experience: 4+ years of programming experience, ideally using a modern stack.
• Backend Expertise: 2+ years of experience with Java or Kotlin.
• Core Stack Knowledge: Familiarity with our environment ( Java/Kotlin, Spring, PostgreSQL, React) running on Kubernetes within a service-oriented architecture (100+ services).
• Database Proficiency: A solid understanding of relational databases and ORMs.
• Architecture: Experience working on SOA or microservice-based applications.
• Quality Standards: View Unit and Integration tests as first-class citizens in the software development lifecycle.
• Collaborative Workflow: Experience refining designs, performing code reviews, and managing pull requests in a team environment.
• Ownership & Mindset: * A solid sense of responsibility and the ability to drive projects from inception to completion

• Full-Stack Experience: Additional expertise in any of the following areas:
  • Systems: Kafka, Temporal, Docker, POSIX.
  • Databases: Deep PostgreSQL knowledge.
  • Front-End: JavaScript/TypeScript, React.

We champion equality and inclusivity, proudly supporting an Equal Opportunity Employer policy. We welcome applicants regardless of Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other status protected by law.

Job Summary:

We are seeking a skilled Electrical Maintenance Engineer to join our team. The ideal candidate will be responsible for designing, developing, and testing electrical systems and components.

Job responsibilities:

1. Responsible for installation, commissioning, operation, maintenance and transformation of the equipment to ensure the normal operation of the equipment.

2. Responsible for electrical installation, commissioning and maintenance of equipment.

3. Responsible for the fault diagnosis and elimination of the electrical system of the equipment, timely solve the equipment failure, and ensure the stable operation of the production line.

4. Responsible for the maintenance and maintenance of the electrical system of the equipment, formulate and implement the maintenance plan of the equipment.

5. Responsible for the technical transformation and upgrading of the electrical system of the equipment to improve the performance and efficiency of the equipment.

6. Participate in the introduction of new equipment and technical exchanges, provide technical support and suggestions.

7. Participate in the safe production management of the equipment, formulate and implement the safe operation procedures of the equipment.

Job Requirements:

1. Bachelor's degree or above, major in electrical engineering and automation, or related.

2. More than 3 years of equipment electrical maintenance experience.

3. Familiar with the principle of electrical control, proficient in PLC programming and debugging.

4. Familiar with the working principle and operation process of automation equipment and production line.

5. Have a good team spirit and communication skills, can work under pressure.

6. Have strong ability to analyze and solve problems, and can independently deal with equipment failures.

7. Familiar with relevant laws and regulations and safety standards, with safety awareness.

POSITION

Geologist/Environmental Engineer

SALARY RANGE

$75K – $115K depending on level of experience.

ROLE

• Plan and conduct Phase I and II Environmental Site Assessments (ESAs), site characterizations, and remedial investigations for complex contaminated properties (e.g., highway corridors, industrial properties, and large-scale redevelopment and infrastructure projects for public agencies including the Port of Oakland, City of San Francisco, and Contra Costa County).
• Oversee drilling, well installation, soil/groundwater/soil vapor sampling, noise level surveys, air monitoring, and construction oversight.
• Prepare boring logs and process soil, groundwater, and soil vapor data.
• Develop or refine Conceptual Site Models to support data interpretation, risk assessments, and remedial strategy.
• Assist in the preparation of high-quality technical reports, including investigation reports, feasibility studies, and remediation plans.

EXPERIENCE

• Bachelor's degree in geology or environmental engineering.
• 3 to 10 years of professional experience is preferred.
• A California professional registration (PG or PE) is preferred.

LOCATION

• Hybrid remote and Downtown Oakland office.

BENEFITS

Baseline offers a very competitive wage and benefits package, including 100% coverage of medical premiums, 401(k) profit sharing, and 10 to 25 days of vacation and 11 holidays per year. We strongly encourage a good work-life balance with staff who can effectively work both independently and in a team environment.

We're working with a fast growing AI startup in SF that's hiring a GTM Engineer to help scale revenue through data, analytics, and experimentation.

This isn't a typical analytics role.

You'll sit at the intersection of product, growth, and engineering, building the systems that determine how the company acquires customers, measures performance, and optimizes every part of the funnel.

Your work directly impacts revenue.

What makes it interesting is the environment:

• High ownership across growth and product systems

• Direct exposure to paid channels, product analytics, and revenue data

• Building real infrastructure, not just dashboards

• Heavy use of AI to surface insights and drive decisions

• 14 hour days in a high-intensity environment where you move fast and see immediate impact

They're looking for people who:

• Have strong Python and SQL skills

• Have worked with paid acquisition data (Google, Meta, TikTok)

• Think in experiments and understand causation vs correlation

• Have built or owned metrics, attribution, or LTV/CAC systems

• Want to work in a fast-paced, high-growth environment

SF based, in office

$130K to $190K + bonus + equity

If this sounds interesting, feel free to message me or get in touch.