Senior Software Engineer at tvScientific | San Francisco, CA

Join tvScientific as a Senior Quality Assurance Engineer and play a pivotal role in ensuring the quality and reliability of our innovative advertising technology solutions. You will collaborate with cross-functional teams to define testing strategies, develop automated tests, and enhance our testing frameworks.Your expertise will help us deliver high-quality software that meets and exceeds customer expectations. If you are passionate about quality assurance and looking to make a significant impact in a dynamic environment, we want to hear from you!

Join our dynamic team at tvScientific as a Senior Data Engineer. In this role, you will play a pivotal part in shaping our data infrastructure, enhancing our analytics capabilities, and driving data-driven decision-making across the organization. You will collaborate closely with cross-functional teams to implement innovative data solutions that support our strategic objectives.

Join tvScientific as a Sales Engineer where you will play a critical role in bridging the gap between our innovative technology and our sales strategy. You will work closely with our sales team to create tailored solutions that meet our clients' needs, leveraging your technical expertise to ensure successful implementation and customer satisfaction.

Join tvScientific as a Machine Learning Engineer where you will leverage cutting-edge machine learning techniques to enhance our advertising platform. You will be responsible for developing and optimizing algorithms that drive effective ad targeting and analytics. Collaborate with cross-functional teams to integrate machine learning solutions that improve user engagement and maximize return on investment for our clients.

About Pinterest Pinterest helps millions of people worldwide discover new ideas, try fresh possibilities, and collect inspiration for their lives. The company’s mission is to empower individuals to curate a life they love, starting with a talented and diverse team. Pinterest values innovation and encourages employees to fuel growth for millions. Team members are supported in turning passion into opportunity, and the company celebrates different backgrounds while offering flexibility to help everyone do their best work. AI plays a central role at Pinterest, serving as a partner to boost creativity and impact. The hiring process focuses on both foundational skills and how candidates collaborate with AI. For more on Pinterest’s approach to AI in hiring, see this overview. About tvScientific tvScientific is a leading CTV advertising platform built for performance marketers. The platform uses large-scale data and advanced technology to automate and optimize TV advertising, helping businesses achieve measurable results. Media buying, optimization, measurement, and attribution all work together in a single solution. The team behind tvScientific includes experts in programmatic advertising, digital media, and ad verification, building tools for advertisers focused on business growth. Role Overview: Staff Data Engineer The Staff Data Engineer will lead the design, implementation, and improvement of identity services and the data governance platform at tvScientific. This role is critical for maintaining data integrity, privacy, and governance across the company. The position involves working at the intersection of data engineering, identity resolution, privacy, and platform reliability. As an individual contributor, the Staff Data Engineer will help define and carry out the strategic vision for data engineering within the organization. Location San Francisco, CA, US or Remote, US

tvScientific seeks a Machine Learning Platform Engineer to help shape the company’s advertising technology. This position can be based in San Francisco, CA, or performed remotely from anywhere in the United States. Role overview This role focuses on building and refining machine learning models that drive the core of tvScientific’s advertising platform. The work combines technical skill with creative problem-solving to support the platform’s effectiveness. What you will do Develop and optimize machine learning models to enhance advertising performance Collaborate with team members to deliver solutions that balance innovation, scalability, and reliability Apply technical expertise to address challenges at the intersection of technology and creative thinking Location Candidates may work from San Francisco, CA, or remotely within the US.

Join the innovative team at Lever as a Quality Assurance Engineer, where you'll play a crucial role in ensuring the excellence of our next-generation hiring software used by industry leaders like Netflix, Shopify, and Spotify.As a QA Engineer, you will be responsible for estimating, planning, and coordinating testing activities, all while ensuring that quality issues and defects are effectively identified, documented, tracked, and resolved in our defect tracking system.

tvScientific seeks a Senior Backend Engineer to support the backend infrastructure behind its advertising products. The position centers on designing and building applications that handle scale, efficiency, and security needs. Key responsibilities Develop and enhance backend systems that power advertising offerings. Collaborate with engineering, product, and design teams to deliver new features and improvements. Maintain high standards for application performance, reliability, and security. Location San Francisco, CA, US Remote, US

Join Skip's mission to make life joyful through powered movement!At Skip, we believe that movement is essential for physical, mental, and social well-being. Unfortunately, 2 billion people struggle to access movement due to age, injury, or disability. We are innovating products that will restore mobility for millions, paving the way for a future where everyone can enjoy the thrill of movement, from grandparents keeping up with their grandkids to adventurers on the trail.Founded in 2023 as a spin-off from Google X, Skip is a dynamic early-stage startup with a team of 20 talented individuals. With deep expertise across various disciplines and strategic partnerships, including collaborations with Arc'teryx, we are on the verge of launching the industry’s first commercially successful wearable robotic device, the MO/GO. Our vision is to create a platform for future Movewear products that will transform lives worldwide.The RoleWe are seeking a passionate QA Engineer to take charge of software quality from start to finish — from the moment a user unboxes our device to the seamless syncing of data on Google Cloud. You will work across web, mobile, backend API, and IoT layers, thriving in our fast-paced sprint cycles where a small team achieves remarkable results.In this hands-on individual contributor role, you will develop the automation infrastructure necessary for scaling our testing suite, design mock environments, and collaborate closely with firmware, application, and cloud engineers to ensure comprehensive coverage from unit tests to full regression suites.

Join the Air Apps Team!At Air Apps, we are driven by innovation and a commitment to creating groundbreaking solutions. Founded in 2018 in Lisbon, Portugal, and now proudly operating in San Francisco, we are on a mission to revolutionize personal and entrepreneurial resource management with our AI-powered Personal & Entrepreneurial Resource Planner (PRP). With over 100 million downloads worldwide, our self-funded journey is just beginning, and we need your unique skills to help us redefine how people work and live.We thrive on challenging the status quo and pushing the boundaries of what is possible. By joining our team, you will play a key role in crafting products that empower individuals and businesses globally. Let’s change the way the world plans!Your Role as a QA EngineerAs a QA Engineer at Air Apps, you will be crucial in ensuring the quality, functionality, and usability of our innovative applications. Your expertise in manual and functional testing will allow you to collaborate closely with developers, product managers, and designers to detect issues early, enhance test coverage, and guarantee a seamless user experience.Your contributions will be vital in identifying bugs, verifying feature implementations, and ensuring software stability prior to deployment.

Join tvScientific as a Senior Machine Learning Engineer and be at the forefront of developing and deploying innovative machine learning solutions that drive advertising efficiency. Your expertise will contribute to building cutting-edge algorithms and systems that enhance our clients' marketing strategies.In this role, you will collaborate with cross-functional teams to translate business requirements into technical specifications, and develop scalable models that leverage large datasets. Your passion for machine learning and data science will help shape the future of advertising technology.

Join the innovative team at tvScientific as a Senior Data Scientist, where your expertise in data analysis and machine learning will drive impactful decisions. You will collaborate with cross-functional teams to develop data-driven strategies that optimize our advertising solutions. Engage in deep statistical analysis and contribute to the advancement of our data science capabilities.

airapps is looking for a Quality Assurance Analyst based in San Francisco. This role centers on upholding quality standards for the company's applications. Working closely with developers, the analyst helps shape and implement testing strategies that support reliable software releases. Key responsibilities Work with the development team to design and run tests for new and existing features Spot and document bugs or other issues as they arise Recommend process changes that could improve the user experience Collaboration This position involves regular communication with engineers and other team members to ensure that testing aligns with project goals and user needs. The analyst plays a key part in refining how applications are tested and improved.

Join the Abridge TeamFounded in 2018, Abridge is dedicated to enhancing understanding in healthcare through our innovative AI-driven platform. Our technology streamlines clinical documentation, allowing healthcare professionals to prioritize patient care.With advanced real-time transformation of patient-clinician dialogues into structured clinical notes, we ensure deep integration with EMR systems. Our unique approach, powered by Linked Evidence and an auditable AI framework, sets us apart as leaders in generative AI for healthcare, establishing new standards for responsible AI deployment.Our dynamic team comprises MDs, AI researchers, PhDs, creatives, technologists, and engineers united in the mission to improve healthcare outcomes. We operate out of offices in San Francisco, New York, and Pittsburgh, creating an inclusive and collaborative environment.Your RoleAs a Senior Quality Engineer, you will be instrumental in fostering a culture of quality across our organization. Your focus will extend beyond testing to encompass quality ownership throughout the development process.If you possess a passion for enhancing products through rigorous testing and delivering reliable software that resonates with users, we invite you to be part of our mission.Your ResponsibilitiesProduct Testing: Test the limits of our product, identifying bugs, edge cases, and usability issues.Hands-On Testing: Conduct thorough manual testing to ensure functionality, reliability, and an excellent user experience.Automated Testing: Develop, implement, and maintain automated testing frameworks for comprehensive end-to-end testing.Collaborative Quality Practices: Work alongside developers to integrate quality measures early in the development cycle.Requirements Refinement: Collaborate with product managers to establish and enhance quality requirements for optimal user experience.CI/CD Optimization: Improve CI/CD pipelines with robust automated testing solutions.Mentorship: Promote a culture of curiosity and continuous improvement by mentoring peers and sharing best practices.

Join the vibrant team at tvScientific as an Account Manager, where you will be pivotal in driving client success within the gaming sector. Your role will involve building and nurturing client relationships, developing strategic account plans, and ensuring outstanding service delivery. Your insights and expertise will help shape our clients' advertising strategies and maximize their return on investment.

Join tvScientific as a Senior Machine Learning Operations Engineer and play a pivotal role in deploying and managing ML models at scale. You will work closely with data scientists and software engineers to optimize and streamline ML workflows, ensuring the delivery of high-quality products to our clients. This position offers the flexibility to work remotely from anywhere in the United States.

speak seeks a Quality Assurance Engineer based in San Francisco to help maintain and raise the quality of its software products. This position works side by side with developers, product managers, and other colleagues to shape testing methods and contribute to ongoing product improvement. Key responsibilities Work with engineers and product managers to define and improve testing strategies Identify issues and assist in resolving them to enhance product functionality Contribute to delivering software that is reliable and user-friendly What speak values Careful attention to detail Dedication to quality in each release Ability to collaborate effectively across different teams

About tvScientific tvScientific is the pioneering CTV advertising platform meticulously designed for performance marketers. We connect game developers and publishers with extensive TV reach while providing precise User Acquisition (UA) metrics. Our platform, crafted by experienced ad-tech professionals, integrates media buying, optimization, and MMP attribution, empowering gaming brands to automate CTV campaigns, enhance app installs, and optimize Return on Ad Spend (ROAS). We invite you to join our dynamic team as a Sales Director, where you will spearhead client relationships and drive revenue growth while ensuring that our clients thrive on our innovative platform. As a Sales Director, you will utilize your expertise in performance marketing and digital advertising to showcase the value of our offerings. Your role will empower brands, companies, and agencies to fulfill their advertising goals through the transformative power of CTV. You will strategically manage named account lists (NALs) in your industry vertical to foster targeted engagement and revenue advancement.

Juniper Square focuses on digitizing private markets such as commercial real estate, private equity, and venture capital. The company aims to make these sectors more accessible and transparent by building technology that improves efficiency and opens new opportunities. Teams collaborate across the USA, Canada, and several international locations, with options for remote or in-office work. Role overview The Senior Quality Assurance Automation Engineer works closely with product and engineering teams. This role is central to both manual and automated testing efforts, helping to ensure high product quality and a strong end user experience. What you will do Review functional specifications and technical design documents, using AI-assisted analysis to find edge cases or logical gaps early in the software development lifecycle. Work with developers to identify test cases for automation. Use AI-powered IDEs such as Cursor or Augment to quickly prototype and scaffold new test suites. Design, develop, and execute test cases for product features and backend systems. Maintain and improve automation frameworks (including Playwright and Locust) by using LLMs for code refactoring, optimizing scripts, and reducing flaky test patterns. Advise development teams on best practices, processes, and problem-solving, including ethical and effective use of AI tools in QA workflows. Generate automated test result reports and highlight potential quality risks. Identify, troubleshoot, and track issues throughout the testing process. Location This position is open to candidates based in the Americas (USA or Canada). Flexible work arrangements are available, including remote and office-based options.