Engineering Jobs in Piedmont, CA
210 positions found
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If you just graduated (or you're about to) and the job search is already feeling confusing, you're not imagining it.
A degree proves you can learn—but employers hire for job readiness: projects that look like real work, current tech stacks, interview confidence, and the ability to contribute on day one.
That's why many new grads send hundreds of applications and still hear nothing back.
It's not because you're "not smart enough.” It's because most entry-level pipelines are crowded, and hiring teams filter heavily for candidates who look production-ready.
We are actively considering candidates for entry-level software engineering and data roles, especially Java full stack, Java/Python development, DevOps automation, data analytics, data engineering, data science, and ML/AI—full-time opportunities aligned to client needs.
Our core emphasis remains Java/Full Stack/DevOps and Data/Analytics/Engineering/ML.
SynergisticIT focuses on two high-demand lanes: Java / Full Stack / DevOps and Data (Data Analyst, Data Engineer, Data Scientist) + ML/AI—so you don't graduate with scattered skills, you graduate with an employable stack.
SynergisticIT since 2010, has helped candidates land full-time roles at major organizations (examples often cited include Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Banking, Wayfair, Client, Client, and more) with offers commonly in the $95k–$154k range depending on role and skill depth.
For a new grad, the bigger message isn't the number—it's that results require a structured pathway, not random applications.
Here's a realistic way to think about your advantage as a fresh graduate: you're early enough to build the right foundation before bad habits set in.
If you master fundamentals—coding, debugging, data structures, system thinking—and then layer modern tools on top (frameworks, cloud, CI/CD, analytics stacks), you become the kind of "entry-level” candidate who actually feels like a safe hire.
What roles are companies hiring for right now? A typical market demand pattern is clear: organizations still need entry-level software programmers, Java full stack developers, Python/Java developers, DevOps-focused engineers, and on the data side data analysts, BI analysts, data engineers, data scientists, and machine learning engineers.
The strongest candidates aren't "tool collectors”—they're people who can show end-to-end capability: build an API, connect a database, deploy a service, analyze data, explain results, and handle interviews calmly.
Why fresh grads get stuck— Fresh grads often struggle for four predictable reasons: Resume doesn't match job keywords (ATS filters you out).
Projects look like school assignments (not production-aligned).
Interview skills are undertrained (DSA, system design, SQL, behavioral).
No structured pipeline (random applying without feedback loops).
A job-placement-first approach addresses these systematically: build the right portfolio, practice the right interview questions, align your tech stack to roles, and keep improving until the market says "yes.” Who this path fits best If you're a recent graduate, you'll likely fit if you match any of these: New grads in CS, Engineering, Math, or Statistics with limited job experience Students finishing Bachelor's or Master's programs who need a real hiring plan Candidates who apply consistently but don't get callbacks Candidates who reach interviews but struggle to close International students on F-1/OPT who need a job plan for STEM extension/H-1B timing Graduates with strong academics but thin practical experience SynergisticIT helps STEM extension and work authorization pathways, and for candidates who need long-term stability, support related to H-1B and green card processes as part of employer-side realities.
If you're tired of guessing, stop treating your job search like a lottery.
Treat it like a project with milestones: skills → portfolio → interview readiness → targeted applications → scheduled interviews → offer.
If you want to explore, here are the key links: Event videos (OCW, JavaOne, Gartner): USA Today feature Contact & get a roadmap: Please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT What Recruiters Look for in Junior Developers | SynergisticIT Software engineering or Data Science as a career? How OPT Students Can Land Tech Jobs – SynergisticIT Bottom line for fresh grads: Your degree is the starting line, not the finish line.
If you want to get hired faster, you don't need "more random courses.” You need a guided, job-focused path and the right people around you.
In tech, it's not just what you learn—it's how you learn and who you build with that decides how far you go.
Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req.
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Investment Director - American Housing Company
Location: Oakland, CA (on-site)
About oWOW
oWOW is a vertically integrated real-estate development firm on a mission to accelerate housing abundance. By unifying design, prefab construction, and development under one roof—and pioneering mass-timber, modular methods—we deliver beautiful, sustainable housing faster (2X) and at a substantially lower cost than traditional builders.
Role Overview
As an Investments Director you will be the financial/acquisition engine behind our growing development pipeline, leading deal sourcing, underwriting, and capital raising. Reporting to the CEO, you will shape strategy, source sites, build out the team, and build investor relationships, driving transactions from LOI through closing.
Key Responsibilities
● Deal Sourcing & Underwriting – Build a statewide first then nationwide broker network, identify sites, and produce institutional-grade pro formas and feasibility models.
● Project Financing – Draft RFPs, market opportunities to lenders and equity partners, negotiate term sheets, and shepherd closings.
● Capital Markets – Create and update investor decks, raise pre-development equity, and cultivate programmatic funding partnerships.
● Transaction Management – Manage due diligence, coordinate consultants, and keep multiple deals on schedule.
● Process & Data – Standardize underwriting models, maintain a site/investor CRM, and deliver weekly pipeline reports.
● Hire and Build the team – Create an org chart, scorecards for each role, budget and then get to work on hiring the best and brightest.
First Year Outcomes
1. Finance Phase 1 LIHTC Projects – Issue RFP packages within a week of award announcements and close debt/equity on 6-8 projects by year-end.
2. Secure Phase 2 Pipeline – Source 200+ sites, fully underwrite priority targets, option at least 20 sites.
3. Raise Pre-Dev Equity – Assist on raising pre-development capital for projects as well as from project partners.
4. Institutionalize Underwriting – Implement standardized models and a live database of sites and investors within 90 days.
Requirements
● 5+ years in real-estate finance, acquisitions, or development; multifamily and LIHTC experience strongly preferred.
● Advanced financial modeling and deal-structuring skills.
● Desire to work extremely hard and believer in meritocracy
● Excellent communication, project-management, and relationship-building abilities.
● First Principles thinking
Compensation & Benefits
● Competitive salary + performance bonus
● Promote in Projects
● Ability to invest
Logistics & Warehouse Planner
Job Description
The Logistics & Warehouse Planner is responsible for coordinating material flow, warehouse activities, and inventory levels across multiple projects. You’ll work closely with warehouse leads, production teams, purchasing, and suppliers to ensure materials are available when needed—avoiding shortages, delays, or inefficiencies.
Job Summary
You’ll plan and schedule deliveries, oversee warehouse allocation, track inventory levels, and align purchasing expectations to maintain a steady flow of materials throughout the operation. As a central point of communication between warehouse operations, suppliers, carriers, and internal teams, you will manage inquiries, delivery updates, schedule changes, and cancellations while keeping communication clear and consistent.
Essential Functions
Determine required materials based on production schedules and warehouse stock levels.
Generate RFQs, purchase orders, and replenishment requests as needed.
Ensure incoming materials meet specifications, quality requirements, and cost standards.
Maintain accurate inventory records and ensure consistent supply to support daily operations.
Coordinate cross-department communication on inventory needs, delivery timelines, and supplier payments.
Track warehouse throughput, inbound/outbound volumes, and material usage trends.
Schedule and oversee the receipt, storage, staging, and delivery of materials and finished goods.
Liaise with suppliers, distributors, carriers, and internal teams regarding logistics and warehouse requirements.
Manage inventory discrepancies, schedule changes, and order cancellations.
Prepare cost estimates, inventory forecasts, KPIs, and operational performance reports.
Essential Requirements
Ability to analyze demand forecasts, warehouse capacity, and material consumption.
Experience generating RFQs, purchase orders, replenishment schedules, or logistics documentation.
Knowledge of warehouse operations, material compliance, inventory control, and cost management.
Strong organizational, communication, and problem-solving skills.
Ability to prioritize tasks and work in a fast-paced environment.
Other Functions
Collaborate with quality control to ensure incoming and outgoing materials meet company standards.
Identify warehouse bottlenecks, improve material flow, and support continuous improvement initiatives.
Monitor market trends, supplier performance, and customer needs to adjust inventory strategies.
Support cycle counts, physical inventory, and warehouse audits.
Job Requirements
Bachelor’s Degree in Supply Chain, Logistics, Operations Management, Business, Industrial Engineering, or related field (or equivalent experience).
Prior experience in logistics planning, warehouse coordination, or inventory management preferred.
Job Type: Full-time
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.
We are seeking a Staff Product Manager to lead the strategy and execution for identity graph and data partnership initiatives, critical to enabling high-performance, privacy-compliant targeting across our CTV advertising platform. This role will focus on developing and refining identity resolution capabilities, managing graph-based data integrations, and expanding the reach and accuracy of our audience recognition and measurement infrastructure.
Success in this role will require a blend of deep technical expertise in identity data, graph modeling, and data architecture, as well as strong product instincts and cross-functional leadership skills. You will work closely with Engineering, Data Science, and external data partners to build a resilient and scalable identity foundation for precise audience targeting and measurement.
What you'll do:
- Own the identity product strategy at tvScientific
- Lead the product vision for tvScientific's identity graph, enabling persistent, multi-device recognition across CTV and digital channels.
- tvSci Identity will service multiple teams throughout the product and engineering ecosystem, it will be your role to align with leadership of those teams to gather requirements, define goals and monitor success.
- Partner with Data Engineering and Data Science to architect and optimize graph-based data models that represent user identity, household relationships, and device linkages.
- Design APIs and services for real-time identity resolution, enrichment, and activation in programmatic ad workflows.
- Grow identity data partnerships
- Source, evaluate, and onboard third-party identity and behavioral data providers to enhance graph completeness and targeting capabilities.
- Work with Legal, Security, and Data teams to ensure all data partnerships comply with CCPA, GDPR, and other global privacy standards.
- Lead the technical integration and operationalization of new identity and graph enrichment partners, ensuring reliable ingestion, mapping, and deployment.
- Maintain an ongoing view of the identity and data ecosystem, and recommend partnership or build strategies accordingly.
- Deliver world-class adtech product
- Write detailed product requirements, data specifications, and user stories for identity graph services and data integration projects.
- Coordinate with Engineering and Infrastructure teams to deliver performant graph storage, traversal, and querying systems.
- Support Sales, Marketing, and Customer Success with technical narratives that explain the role and value of identity resolution in CTV targeting.
- Define and monitor key metrics related to graph quality (e.g., match rates, accuracy, persistence), identity coverage, and performance impact.
- Drive Industry Leadership
- Stay current with advancements in privacy-enhancing technologies (PETs), identity standards, and regulatory shifts impacting identity data use in advertising.
- Represent tvScientific in industry forums and with partners to position the company as a leader in CTV identity and data interoperability.
What we're looking for:
- Experience in product management, technical partnerships, or solutions engineering roles focused on data-driven products, audience targeting, or marketing technology.
- Strong background working with Data Engineering and Data Science teams to operationalize audience strategies.
- Expertise in audience segmentation, identity resolution, data onboarding, and activation workflows.
- Experience sourcing, integrating, and managingthird-party data partnerships.
- Wide array of data analytics experience and a tenacity for driving to comprehension and organization of large datasets.
- Solid technical acumen - including APIs, data pipelines, audience graphs, and privacy frameworks. Ideal candidates should be able to operate directly on the datasets without engineering support.
- Exceptional communication skills, translating technical details into business value.
- Experience within the adtech ecosystem is required, with Connected TV (CTV) experience a strong plus.
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 our PinFlex page to learn more about our working model.
#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.
US based applicants only$164,695—$339,078 USDOur Commitment to Inclusion:
Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please completethis formfor support.
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.
We're looking for a Senior Backend Engineer to help design, build, and scale tvScientific's contract and billing systems that support direct advertisers, internal teams, and Finance. This role focuses on building backend services that can support a wide range of contract structures and billing models while maintaining strong guarantees around correctness, auditability, and operational reliability.
You'll work on systems that must operate accurately across different commercial relationships and external partners, ensuring our contract logic remains consistent, flexible, and maintainable as the business scales.
This is a high-impact backend role at the intersection of revenue, finance, and customer operations, where clear domain modeling, data integrity, and sound engineering judgment matter more than any specific implementation approach.
What you'll do:
- Design and implement backend systems for contract lifecycle management, including creation, versioning, approvals, amendments, and renewals
- Build and evolve contract management capabilities (e.g., terms, payouts, attribution rules, eligibility, and partner-specific logic) for our CPA Contract/Billing model
- Support the expansion of CPM billing model contracts, including rate management, impression-based calculations, and integrations with billing and finance systems
- Develop APIs and services that serve customers, internal operations teams, and finance stakeholders
- Partner closely with Product, Finance, and Data teams to translate business requirements into robust technical solutions
- Ensure systems are auditable, accurate, and compliant, with strong data integrity guarantees
- Improve system observability, reliability, and performance as contract volume and complexity scale
- Own backend services and data models related to contracts and billing
- Lead technical design discussions and make pragmatic architectural decisions
- Write clean, well-tested, and maintainable code with a strong focus on correctness
- Drive improvements in data consistency, validation, and error handling across contract workflows
- Review code and mentor other engineers, setting a high bar for backend quality
- Collaborate cross-functionally to support new deal structures and evolving business models
What we're looking for:
- Experience with billing/contract mechanisms (specifically affiliate platforms)
- Bachelor's degree in computer science, a related field or equivalent experience
- Experience building large-scale full-stack products.
- Deep understanding of web development and best practices in React/Redux
- Strong experience with programming languages Javascript and Python/Java
- Strong software engineering principles and practices
- Strong collaboration and communication skills
- Nice-to-Haves:
- Experience working closely with finance or accounting teams
- Background in building audit-friendly or compliance-sensitive systems
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.
US based applicants only$123,696—$254,667 USDOur Commitment to Inclusion:
Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please completethis formfor support.
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 aStaff Data Engineer at tvScientific, you will be a key player in implementing the robust data infrastructure to power our data-heavy company. You will collaborate with our cross-functional teams to evolve our core data pipelines, design for efficiency as we scale, and store data in optimal engines and formats.This is anindividual contributor role, where you will work to define and implement a strategic vision for data engineering within the organization.
What you'll do:
- Design and implement robust data infrastructure in AWS, using Spark with Scala
- Evolve our core data pipelines to efficiently scale for our massive growth
- Store data in optimal engines and formats, matching your designs to our performance needs and cost factors
- Collaborate with our cross-functional teams to design data solutions that meet business needs
- Design and implement knowledge graphs, exposing their functionality both via Batch Processing and APIs
- Leverage and optimize AWS resources while designing for scale
- Collaborate closely with our Data Science and Product teams
- How we'll define success:
- Successful design and implementation of scalable and efficient data infrastructure
- Timely delivery and optimization of data assets and APIs
- High attention to detail in implementation of automated data quality checks
- Effective collaboration with cross-functional teams
What we're looking for:
- Production data engineering experience
- Proficiency in Spark and Scala, with proven experience building data infrastructure in Spark using Scala
- Experience in delivering significant technical initiatives and building reliable, large scale services
- Experience in delivering APIs backed by relationship-heavy datasets
- Familiarity with data lakes, cloud warehouses, and storage formats
- Strong proficiency in AWS services
- Expertise in SQL for data manipulation and extraction
- Excellent written and verbal communication skills
- Bachelor's degree in Computer Science or a related field
- Nice-to-haves:
- Experience in adtech
- Experience implementing data governance practices, including data quality, metadata management, and access controls
- Strong understanding of privacy-by-design principles and handling of sensitive or regulated data
- Familiarity with data table formats like Apache Iceberg, Delta
- Previous experience building out a Data Engineering function
- Proven experience working closely with Data Science teams on machine learning pipelines
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.
US based applicants only$155,584—$320,320 USDOur Commitment to Inclusion:
Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please completethis formfor support.
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.
Team & Mission
The Measurement Products team helps advertisers measure the incremental impact of their Pinterest campaigns and make informed investment decisions. We own and operate core measurement products including Pinterest Conversion Lift (PCL) Studies and Brand Lift Studies.
We build the platform these products run on and are evolving it into our nextgen Measurement Hub, an extensible platform that enables faster product iteration, onboarding of new study types, and deeper integration with Pinterest's enterprise data and experimentation systems. Our mission is to measure true incremental impact and translate it into actionable insights for advertisers and partners.
Role Summary
We're seeking a Staff Engineer to lead the architecture and technical direction of the measurement platform behind how advertisers understand the impact of their investment on Pinterest. You'll drive endtoend platform evolution (pipelines, services, correctness, reliability), partner closely with Product and Data Science, and raise the bar on rigor, trust, and operational excellence in ads measurement.
What you'll do:
- Own endtoend architecture and delivery of features for lift measurement products, from design and implementation through rollout and ongoing reliability.
- Design, build, and optimize largescale data pipelines that power study setup, experiment execution, and results computation.
- Drive AI enablement across the team by building the supporting tooling and processes (CI checks, test strategy, templates), coaching engineers, and ensuring adoption results in sustained improvements to delivery speed and system quality.
- Translate measurement methodology into production systems: partner with Data Science to operationalize study design requirements into pipelines, services, tooling, and guardrails.
- Build "rigor by default" mechanisms: automated data validation, randomization/holdout integrity checks, imbalance diagnostics, and continuous verification/backtesting.
- Raise the bar on data quality and trust: define SLAs, build monitoring and anomaly detection, and lead rootcause analysis for pipeline and study issues.
- Mentor and up level engineers, driving strong technical execution and crossfunctional collaboration.
What we're looking for:
- BS+ in Computer Science (or related field) or equivalent practical experience.
- 8+ years of professional software engineering experience, with a focus on dataintensive systems.
- Strong proficiency building and operating largescale data pipelines (batch and/or streaming) using Java/Scala/Kotlin or Python, plus SQL.
- Experience designing reliable services and APIs, with solid foundations in distributed systems, data modeling, and performance optimization.
- Demonstrated ability to transform a team's engineering workflow using AI-from pilot to broad adoption-through tooling, enablement, and change leadership, with clear metrics (cycle time, defect rate, on-call load, incident rate).
- Experience in AdTech and measurement products (e.g., conversion lift, brand lift) or adjacent experimentation/analytics platforms.
- Working knowledge of experimentation and causal measurement fundamentals (randomization, holdouts, confounders, significance, power).
- Practical experience with backtesting, controlled rollouts, and continuous verification for correctness in measurement/analytics systems.
- Demonstrated ability to lead large crossfunctional initiatives, drive alignment, and deliver measurable impact through technical leadership.
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 our PinFlex page to learn more about our working model.
#LI-REMOTE
#LI-KK6
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.
US based applicants only$177,185—$364,795 USDOur Commitment to Inclusion:
Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please completethis formfor support.
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.
US based applicants only$109,242—$224,910 USDOur Commitment to Inclusion:
Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please completethis formfor support.
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 600 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 4,000 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.
Within the Monetization ML Engineering team, we try to connect the dots between the aspirations of Pinners and the products offered by our partners. In this role, you will be responsible for developing and executing a vision for the evolution of the machine learning technology stack within Ads.
What you'll do:
- Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest
- Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas
- Use data driven methods and leverage the unique properties of our data to improve candidates retrieval
- Work in a high-impact environment with quick experimentation and product launches
- Keep up with industry trends in recommendation systems
- Leverage LLMs to enhance content understanding
What we're looking for:
- 2+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning)
- Degree in computer science, machine learning, statistics, or related field
- End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)
- Practical knowledge of large scale recommender systems, or modern ads ranking, retrieval, targeting, marketplace systems
- Nice to have:
- Publications at top ML conferences
- Expertise in scalable realtime systems that process stream data
- Passion for applied ML and the Pinterest product
- Background in computational advertising
Relocation Statement:
- This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
#LI-HYBRID
#LI-SM4
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.
US based applicants only$163,418—$285,982 USDOur Commitment to Inclusion:
Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please completethis formfor support.
Salary range:
The UC academic salary scales set the minimum pay at appointment. See the following table for the current salary scale for this position: . The current full-time salary range for this position is $75,301 - $199,722. Starting salary will be commensurate with highest degree, past college-level teaching experience, relevant industry experience and equity within the department.
Percent time:
17% -33%. Instructors teaching one course with three hours of lecture per week during the semester will normally be appointed at 33% time; exact percentages depend on contact hours and other assigned duties.
Anticipated start:
Fall semester (only): 8/1/2025-12/31/2025
Spring semester (only): 1/1/2026-5/31/2026
Academic-Year Appointments: 7/1/2025-6/30/2026
Review timeline:
Applications will be accepted and reviewed for department needs, through the final date. We typically review applications for annual course needs in February and August. If you wish to remain in the pool after the final date you will need to reapply.
Position duration:
Initial appointments may be for one semester or a full academic year.
Application Window
Open date: June 10, 2025
Most recent review date: Wednesday, Jun 25, 2025 at 11:59pm (Pacific Time)
Applications received after this date will be reviewed by the search committee if the position has not yet been filled.
Final date: Thursday, Oct 1, 2026 at 11:59pm (Pacific Time)
Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.
Position description
The Fung Fellowship at the University of California, Berkeley invites applications for a pool of part-time lecturer positions in Design and Technology Innovation should an opening arise. We seek candidates that have experience to teach a 3-unit fall and/or spring course for undergraduates who have been selected for the Fung Fellowship for Technology Innovations, a one-year program that develops leadership, teaming, storytelling, technology innovation, and human centered design. This lecturer pool has been generated in case of need for teaching for two courses: (1) Health + Tech Innovations course and (2) Conservation + Tech Innovations course. The number of positions may vary from semester to semester, depending upon the teaching needs of the School.
Candidates with a background in one or more of the following areas are encouraged to apply: Public Health, Conservation, Sustainability, Innovation, Design, Other health-technology, Human centered design, Student directed learning, Participatory design, Inclusive teaming and leadership, Experiential learning methods.
Teaching Responsibilities: We are seeking outstanding lecturers who can teach a design, project based course for the Fung Fellowship for Technology Innovations at the undergraduate level. The Fung Fellowship brings together students from diverse backgrounds and majors to develop technology solutions to address societal challenges facing our most marginalized populations.
General Duties: Curriculum development and teaching that involves an experiential approach to participatory learning that includes community engagement and innovative problem-solving. In addition to teaching responsibilities, general duties include: hold office hours, assign grades, advise students, support community and industry partnerships and other opportunities for students, prepare course materials (e.g., syllabus) and maintain the course website with support from the graduate student instructor (GSI).
Please note: The use of a lecturer pool does not guarantee that an open position exists. See the review date specified in AP Recruit to learn whether the department is currently reviewing applications for a specific position. If there is no future review date specified, your application may not be considered at this time.
Labor Contract:
Qualifications
Basic qualifications (required at time of application)
Bachelors degree or equivalent international degree required by date of application.
Additional qualifications (required at time of start)
Masters degree or equivalent international degree required by the start date of the job, or industry experience of 5 or more years.
Preferred qualifications
Experience teaching undergraduate-level innovation and design topics. An advanced degree, or equivalent degree, or 6 years work experience in the areas of Public Health, Conservation, Design, Innovation, or other health-technology related fields.
Application Requirements
Document requirements
Curriculum Vitae - Your most recently updated C.V.
Cover Letter - Please discuss prior teaching experience, teaching approach, and future teaching interests. This can include, for example, specific efforts, accomplishments, and future plans to support the success of all students through inclusive curriculum, classroom environment, and pedagogy.
Teaching Evaluations - Evidence of teaching/course evaluations may be requested of the finalists.
(Optional)
Reference requirements
- 3 required (contact information only)
Apply link:
JPF04968
Help contact:
About UC Berkeley
UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1-d). These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive.
The University of California, Berkeley is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.
For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy.
In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.
As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.
Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.
As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.
- "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer.
- UC Sexual Violence and Sexual Harassment Policy
- UC Anti-Discrimination Policy
- APM - 035: Affirmative Action and Nondiscrimination in Employment
Job location
Berkeley, CA
