Lead Backend Software Engineer (Product) at Philo

Join Philo: The Ultimate Streaming Experience for TV and Movie EnthusiastsAt Philo, our technology and product teams are on a mission to revolutionize television. We blend cutting-edge technology with the most captivating medium ever created to craft the TV experience we’ve always desired. Our approach involves utilizing cloud delivery, modern tech stacks, machine learning, and bespoke native app experiences across all platforms. We prioritize delivering a robust streaming experience while innovating future-ready multi-screen and multi-user playback solutions.The Role of Data at PhiloData is at the heart of Philo's operations. It informs our business decisions, enhances our streaming quality, drives product experiments to refine user journeys, and simplifies content discovery for our viewers. With over a billion streams annually, we harness an immense data reservoir that influences every facet of our organization. Our data platform operates on a grand scale, processing trillions of events each year through a petabyte-scale data lake, facilitating thousands of data workflows and analytical queries that guide our strategic direction.We seek innovative individuals for our Data team who are eager to tackle diverse projects related to engagement, content discoverability, experimentation, acquisition, and retention within our streaming service. Collaborating closely with data scientists, analysts, and engineers, you will create and implement solutions directly for our platform. Your work will encompass foundational data platform tasks, including data warehouse architecture, metric governance, and ensuring semantic consistency throughout our data pipeline, as well as insights and modeling efforts that deliver tangible business value. Additionally, you will partner with stakeholders from various departments to understand business requirements, construct reliable data pipelines, and provide actionable insights that empower the entire team to excel.We are driven by a passion for problem-solving and delivering data-driven insights across the company. Our work leverages both innovative techniques and established practices in collaboration with every department. We utilize modern open-source tools such as dbt, GrowthBook, Robyn, Superset, and PyTorch, alongside SaaS solutions like Segment, Redshift, Snowflake, SageMaker, AWS Glue, Mode, Omni, Avo, and BigEye.Recent projects undertaken by our Data Science team include:

Join Philo: The Ultimate Streaming Service for TV and Movie Enthusiasts At Philo, we are a passionate team of technology and product innovators committed to revolutionizing the television landscape. By merging state-of-the-art technology with the captivating medium of TV, we are creating the viewing experience we've always desired. This involves utilizing cloud delivery, modern technology stacks, machine learning, and meticulously crafted native app experiences across all our platforms. Our goal is to provide a seamless streaming experience while pioneering next-generation multi-screen and multi-user playback functionalities. The Importance of Data at Philo Data is at the core of everything we do at Philo. It informs our business strategies, enhances our streaming quality, supports product experiments for optimizing user journeys, and simplifies the process for users to discover the perfect content. With over a billion streams delivered annually, our data generates immense value across the organization. Philo's data platform operates at a massive scale, processing trillions of events each year within a petabyte-scale data lake and facilitating thousands of analytical queries that drive decision-making throughout the company. Our Data Engineering team integrates both data engineering and analytics engineering. As a Senior Analytics Engineer at Philo, you will lead the data modeling layer that transforms raw event and application data into reliable, clean data products that the entire company depends on—ranging from metric definitions and dimensional models to a governed semantic layer ensuring consistent metrics for all. You will collaborate closely with data scientists, analysts, and business stakeholders to comprehend their analytical needs and translate them into well-structured, well-documented, and efficient data products using dbt and Snowflake. We are dedicated to delivering a high-quality, trustworthy data platform for the entire organization, employing both cutting-edge technologies and established engineering practices in close cooperation with all departments. Our analytics engineering stack is centered around dbt and Snowflake, enhanced by tools such as Segment, Avo, and BigEye, which facilitate event tracking, data quality, and observability. Recent projects undertaken by our analytics engineers include the development of new models for vital financial data, dbt model design and refactoring, metric definition and governance, cost optimization per query in Snowflake, and the establishment of data quality testing and documentation frameworks. About the Role We are seeking a Senior Analytics Engineer to take ownership of our analytics initiatives...

Join Philo: The Ultimate Streaming Experience for TV and Movie Enthusiasts At Philo, we are a dedicated team of technology and product professionals who are reshaping the future of television. Our mission is to combine cutting-edge technology with the art of storytelling, creating an unparalleled TV experience that we’ve always dreamed of. This involves utilizing cloud delivery, state-of-the-art tech stacks, machine learning, and personalized native app experiences across all platforms. We strive to provide a seamless streaming experience while innovating next-generation multi-screen and multi-user playback capabilities. Data: The Heart of Philo Data is at the core of our operations at Philo. It informs our business strategies, enhances our streaming quality, enables product testing to optimize user experiences, and simplifies content discovery for our viewers. With over a billion streams annually, we generate a vast amount of data that drives insights at every organizational level. Our data platform supports trillions of events each year within a petabyte-scale data lake, facilitating thousands of data workflows and analytical queries that empower our decision-making processes. As the Head of Data Engineering, you will oversee both data and analytics engineering teams, tackling complex data infrastructure and modeling challenges that are vital for our streaming services. You will collaborate closely with data scientists, analysts, and engineers to design and implement solutions that enhance our services. This role encompasses foundational elements like data warehouse architecture, metric governance, and semantic consistency across our data ecosystem. Furthermore, you will liaise with various departments to understand their data requirements and deliver high-performance, dependable data systems that foster team success. We are passionate about creating robust, scalable data infrastructures while providing a high-quality data platform for the organization. Our tech stack includes cutting-edge tools such as AWS-native services, dbt, Segment, Snowflake, AWS SageMaker, Spark, Avo, and BigEye. Recent projects have included developing models for critical financial data, dbt model design, upgrades and maintenance of our data warehouse clusters, and optimizing infrastructure costs per query. If you are excited about leveraging data to make impactful decisions in a fast-paced environment, we want to hear from you!

Role: Head of ProductLocation: San Francisco / Bay Area (preferred)About Our Client:Our client is a rapidly growing AI firm dedicated to creating the infrastructure that facilitates seamless collaboration between humans and AI. They are committed to the belief that superior AI systems require exceptional data, which is best sourced from knowledgeable experts who are optimally supported and incentivized.Originally established to foster meaningful engagement for specialists, our client now coordinates teams of experts to enhance AI models' capabilities. They develop systems that empower top-tier experts to provide high-quality data, which AI researchers can utilize effortlessly, allowing partners to create more capable, reliable, and aligned AI systems.Position Overview:Our client is establishing a foundational layer for expert-curated, high-quality data that drives the world’s leading AI models. They are in search of a Head of Product to spearhead product strategy, user experience, and design for the platform that links distinguished experts with cutting-edge AI research.This role suits a systems-oriented product leader capable of scaling products from approximately $1M to over $100M ARR, who possesses a blend of strong product sensibility and in-depth user empathy, and who can adeptly navigate across AI research, expert contributor workflows, and enterprise requirements.You will oversee both expert-facing and customer-facing product interfaces, shaping the processes by which experts onboard, vet, contribute, and maintain quality, as well as how researchers and enterprise customers interact with data delivery systems.Key Responsibilities:Product & Design LeadershipArticulate and drive the comprehensive product vision, user experience, and design for both expert and customer platforms.Lead a diverse team across product management, UX/UI design, and product operations.Foster a product culture rooted in user empathy, innovation, and high standards.Manage prioritization frameworks, roadmap planning, and execution timelines across product categories.User Experience, Interface & Expert EngagementCreate world-class onboarding, vetting, and work interfaces for a global network of experts.Develop systems to ensure expert motivation, fraud detection, and sustained high-quality contributions.

About Abundant Abundant supplies the training data that fuels advanced AI models. The company aims to set the standard for AI training data, much like NVIDIA has for hardware, as demand for high-quality, optimized data accelerates. The founding team brings experience from Waymo, Google, and AWS, with a track record in deploying large-scale AI systems and managing complex data pipelines. Abundant tackles challenges around data scarcity and the growing need for sophisticated simulation and synthetic data. The team works closely with leading AI labs and startups, positioning the company at the center of artificial intelligence innovation. Role Overview: Head of Product This leadership role combines product strategy and operations. The Head of Product oversees the full lifecycle of major projects, building strong partnerships inside and outside the company. Responsibilities include translating research needs into actionable workflows, managing distributed expert teams, and delivering high-quality results on tight timelines. The position carries significant ownership and influence over Abundant’s direction. Key Responsibilities Model Capability Design Capability Architecting: Work with researchers to shape and define model capabilities across multiple domains. Evaluation & RL: Lead efforts in model evaluation and reinforcement learning to improve performance and expand capabilities.

The League is seeking a strategic and dynamic Head of Analytics to lead our analytics department in San Francisco. This pivotal role involves overseeing junior analytics teams while ensuring that various departments within the business comprehend their operational health, discover growth levers, and pinpoint optimization opportunities. As the Head of Analytics, you will spearhead initiatives that enhance business performance through the utilization of existing and novel data sources and methodologies. This role requires a hands-on approach to tackle complex analytical challenges alongside Engineering, Product, and Marketing teams, often serving as the representative for both Analytics and Product Operations.Key Responsibilities:Team Development: Identify essential roles, attract talent, select candidates that align with our culture, and secure competitive hires.Team Management: Foster a capable and enthusiastic team aligned with high-impact projects. Support career growth for analysts and business intelligence engineers, ensuring they recognize their contributions and understand complex statistical concepts.Work Guidance: Direct efforts across marketing, operations, and product analytics, including LTV predictions, operational metrics, user segmentation, and AB testing best practices.Technology Leadership: Advocate for technological investments that position analytics as a strategic advantage, including business intelligence tools and unified customer data views.Cross-Departmental Collaboration: Work closely with leadership to ensure data-driven decision-making across all business units.

Join Exa, a pioneering company revolutionizing AI search engines through next-gen embeddings technology. Our diverse team of around 60 professionals hails from prestigious institutions such as Harvard, MIT, and Stanford, and we’re rapidly expanding with backing from notable investors like Benchmark, Lightspeed, and NVIDIA.We are in search of a Head of Talent to spearhead and enhance our recruitment processes, ensuring we attract top-tier talent in the competitive tech landscape.In this pivotal role, you will collaborate closely with our founders and Chief of Staff to strategically shape our organizational structure, surpassing industry giants like Anthropic and OpenAI in the pursuit of exceptional research talent.

Airtable is the leading no-code app platform that empowers individuals closest to their work to expedite critical business processes. Over 500,000 organizations, including 80% of the Fortune 100, depend on Airtable to revolutionize their workflows.At Airtable, we are dedicated to democratizing software development—enabling anyone to create powerful, adaptable tools without needing to code. Our transition to an AI-native platform allows customers to generate complete applications and seamlessly integrate AI agents into their operations. Data engineering is pivotal in this transformation, providing the insights necessary for our teams to enhance user experiences, gauge agent effectiveness, and assess business performance on a large scale.As a Data Engineer at Airtable, you will play a vital role in our data engineering initiatives. You'll design and manage essential data pipelines that facilitate informed decision-making, collaborate with company leaders to develop scalable data solutions, and implement innovative alerting and visualization systems.

Join Our Team as a Driver and Data CollectorAre you ready to be part of a dynamic team that plays a crucial role in data collection? At Service Measure (SM), we specialize in gathering essential information where automation falls short. Founded in 2013 in New York, our dedicated teams operate across North America and Europe, tackling exciting challenges every day.Project Overview:We are seeking enthusiastic drivers to participate in a project aimed at testing new features of an online mapping application during both day and night operations. The role involves navigating urban environments with high traffic alongside a co-pilot, while meticulously documenting app performance and usability in a spreadsheet using a tablet or laptop. Your insights will drive improvements for our client.New hires will undergo a comprehensive one-day remote training session. All project-related expenses will be fully covered, including vehicle rental, fuel, parking, and tolls. This project will run for 3-4 weeks, with a typical schedule from Monday to Friday, working 7-8 hours per day, primarily between 9 AM and 5 PM. Each team member will be assigned approximately five routes daily.

About TierZeroAt TierZero, we are revolutionizing the way engineering teams manage code in production. With our AI-driven solutions, we bridge the gap between human speeds and the demands of fast-paced software development. Our platform enhances incident response times, provides comprehensive operational visibility, and facilitates knowledge-sharing among engineers. Backed by $7M in funding from esteemed investors like Accel and SV Angel, we are proud to support industry leaders such as Discord, Drata, and Framer in scaling their operations for an AI-enhanced engineering future. We are now on the lookout for our first marketing leader to amplify our message and drive growth.The RoleAs TierZero's inaugural marketing hire, you will collaborate closely with our founding team to transform our vision into impactful marketing strategies. This is an opportunity for you to craft campaigns, develop engaging content, and establish a brand identity that resonates with engineering leaders. We seek a marketer who thrives at the intersection of product and brand marketing, with a keen understanding of go-to-market (GTM) strategies. During the selection process, we will assess your innovative approaches to utilizing AI and automation in your work. If you are passionate about leveraging these technologies to optimize marketing efforts, we want to hear from you.What You'll DoProduct MarketingLead the messaging and launch strategy as we expand our offerings beyond incident response to a comprehensive suite of production agents.Cultivate deep insights into the needs and preferences of key stakeholders, including VP of Engineering, VP of Infrastructure, and CTOs focused on engineering.Develop competitive intelligence, create battlecards, and build sales enablement resources to streamline the sales process.BrandArticulate and elevate TierZero's brand through consistent and engaging content across our website, marketing materials, events, and social media platforms.Ensure that every touchpoint clearly communicates how TierZero stands apart from traditional incident management solutions and legacy platforms.Serve as the internal champion for brand quality and creative direction.

At Databricks, our passion lies in empowering data teams to tackle some of the most challenging problems globally, from detecting security threats to advancing cancer drug development. We achieve this by creating and operating the world's premier Data Intelligence Platform, enabling our customers to concentrate on high-value challenges central to their missions. Founded in 2013 by the original creators of Apache Spark, Databricks has evolved from a small office in Berkeley, California, into a global powerhouse with over 1000 employees. We are trusted by thousands of organizations—from small startups to Fortune 100 companies—with their mission-critical workloads, establishing us as one of the fastest-growing SaaS companies worldwide. Our engineering teams are dedicated to developing highly technical products that address real-world needs. We continuously push the limits of data and AI technology while maintaining the resilience, security, and scalability crucial for our customers' success on our platform. Operating one of the largest-scale software platforms, our infrastructure comprises millions of virtual machines that generate terabytes of logs and process exabytes of data daily. At this scale, we routinely encounter cloud hardware, network, and operating system faults, and our software is designed to shield our customers from such issues effectively. As a Data Scientist on the Data Team, you will play a pivotal role in fostering a data-driven culture within Databricks by addressing product and business challenges. The Data Team serves as an internal, production 'customer' that utilizes Databricks and influences the future trajectory of our products. Your Impact: Steer the direction of key data science initiatives including segmentation, recommendation systems, forecasting, product analytics, churn prediction, and insights. Collaborate closely with Engineering, Product Management, Sales, and Customer Success to discern product usage patterns and trends, facilitating data-driven decisions, recommendations, and forecasts. Manage stakeholder expectations in your focus area—gather evolving requirements, define project OKRs and milestones, and effectively communicate progress and results to non-technical audiences. Mentor and support junior data scientists within the team, assisting with project planning, technical decisions, and conducting code and documentation reviews. Advocate for the data science discipline across the organization, amplifying our commitment to becoming more data-driven. Develop self-service internal data products to simplify data access within the company. Represent Databricks at academic and industry conferences and events.

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

Join everself as the Head of Growth and play a pivotal role in shaping our future! In this hybrid position based in the vibrant city of San Francisco, you will lead our growth strategies, driving innovative marketing campaigns and exploring new business opportunities. Your expertise will be crucial in scaling our operations and enhancing brand visibility.

About UsAt 1mind, we are pioneering a cutting-edge platform that empowers revenue teams with multimodal Superhumans. These Superhumans integrate visual, vocal, and cognitive capabilities, equipped with comprehensive technical and product expertise. They engage in limitless, real-time conversations around the clock, ensuring that buyers are met when they are most active. Our Superhumans excel in qualifying leads, scheduling meetings, delivering compelling pitches, conducting interactive demos, managing objections, identifying pain points, crafting value models, offering support, and facilitating customer onboarding. They seamlessly integrate into websites, products, and live calls, collaborating with your team in deal rooms. 1mind Superhumans are designed to fit effortlessly into existing workflows, providing scalable solutions that drive measurable outcomes — enhancing revenue, streamlining teams, accelerating pipelines to success, and enriching the buyer experience.Job DescriptionWe are in search of a visionary Head of Product who will take charge of the product vision, strategy, and execution for our AI-native platform at 1mind. This role is ideal for a product leader with a robust background in building applied AI systems in live environments. We are not just looking for someone who can ship features powered by AI models but rather a professional who can design holistic intelligence systems encompassing context pipelines, retrieval systems, memory, tool orchestration, and evaluation loops that ensure AI is reliable, useful, and manageable.In this role, you will operate at various levels, defining the long-term product trajectory for our Superhuman platform, translating corporate strategy into actionable roadmaps, and collaborating extensively with engineering, AI, and design teams to deliver real-time, multimodal AI experiences. Your responsibilities will include overseeing the composition, grounding, evaluation, and evolution of intelligence throughout the product.As the company expands, you will also have the opportunity to build and lead the product organization, setting the standard for AI-first product development, execution excellence, and customer impact.

About Dealops:Dealops is at the forefront of transforming the revenue infrastructure that will define B2B for the coming decade. As the complexity of B2B pricing skyrockets—spanning usage-based, outcome-based, hybrid, and bespoke terms—the existing systems struggle to keep pace.Our mission is to create a robust layer that enables modern pricing to be operational: ensuring policy adherence, enabling auditability, and providing AI-driven recommendations that can be relied upon in enterprise settings. If we succeed, Dealops will revolutionize revenue management just as Salesforce has transformed pipeline management.Currently, we are empowering revenue teams at innovative companies like Clay, LangChain, Plaid, and Airwallex, where navigating pricing complexity is critical. We are moving rapidly to establish something foundational.About this Role:This is a hands-on leadership position offering significant scope: drive product release, oversee implementations, scale the organization, and elevate technical standards. We seek a highly motivated builder eager to embark on a true 1→10 journey (achieving early product-market fit with a projected growth of 10x year-over-year) and passionate about creating a category-defining solution. You will influence product direction, architectural choices, and the foundational systems of the engineering organization, with a direct impact on company success.*In-office position, 5 days/week in SF - fostering high-velocity collaboration, rapid iterations, minimal meetings, and tight feedback loops among Engineering, Product, and GTM teams.

Join doss as the Head of Engineering, where you will lead a talented team of engineers dedicated to building innovative solutions. In this pivotal role, you will oversee the engineering department's strategic direction and ensure the successful execution of engineering projects. You will collaborate with cross-functional teams to drive technology initiatives and enhance operational efficiency.

Join plaud as the Head of Design in the vibrant city of San Francisco, where you'll lead our design initiatives and drive innovation across our product lines. In this pivotal role, you will collaborate with cross-functional teams to create user-centered designs that enhance our brand and elevate the user experience. Your expertise will guide the design vision, ensuring that every aspect of our product is visually compelling and functionally robust.

At Philo, we are a dedicated team of technology and product enthusiasts committed to reshaping the television landscape. We blend cutting-edge technology with the captivating medium of television to create the ultimate viewing experience. Our mission is to enhance streaming capabilities through innovative cloud delivery and sophisticated machine learning algorithms that personalize content discovery. As a Senior Machine Learning Engineer specializing in Recommendation Systems, you will be at the forefront of our content personalization initiatives, significantly enhancing user engagement and satisfaction. Your expertise will help ensure that every time users open the Philo app, they find something they want to watch. In this pivotal role, you will spearhead the development of advanced algorithms and large-scale systems that drive Philo's recommendation engine. Collaborating closely with data science, product, infrastructure, and backend engineering teams, you will tackle complex machine learning challenges and develop innovative, data-driven solutions that enhance content discovery and foster user retention.

We are seeking a visionary Head of Engineering to lead our dynamic team at Gusto. As the Head of Engineering, you will play a critical role in shaping our technology strategy and driving innovative engineering solutions. This is an exciting opportunity to influence the direction of our engineering practices and to mentor and grow our talented engineering team.