Lead Backend Software Engineer (Product) at Philo

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 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 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!

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.

About UsAt Koah Labs, we are pioneering an advertising network tailored for the next generation of AI-driven products. Our objective is to empower publishers to optimize their revenue while enabling advertisers to connect with their ideal audience, all without sacrificing speed, user experience, or privacy.As a compact, tightly-knit team based in San Francisco, our members bring expertise from esteemed organizations such as X, Apple, and Meta, as well as from dynamic startups. With backing from top-tier investors, we are rapidly expanding and gaining significant traction on both the publisher and advertiser fronts.Joining Koah Labs means being part of a foundational phase: you will develop code that significantly impacts both the company and the innovative ecosystem we are crafting. We prioritize agility, foster a culture of high trust, and are deeply committed to our craft.Our Technology StackInfrastructure: Terraform, AWS, LGTM (Loki, Grafana, Tempo, Mimir), Tailscale, CloudflareData Management: PostgreSQL, ClickHouse, Redis, Kafka, PythonCore Application Development: Ruby on Rails, React, TypeScriptSDK Development: Flutter, React Native, Android, iOSKey ProjectsDevelop scalable data models that facilitate multiple impressions for ad requestsCreate abstractions that enable experimentation and deployment of new formats to track engagement events effectivelyImplement a low-latency frequency capping system to enhance the user experienceIdeal Candidates Will:Have a passion for debugging and optimizing performanceBe detail-oriented, crafting reliable abstractions for team membersEnjoy experimentation, measuring results, and establishing dependable systems

Location: San Francisco / Palo Alto, California Job Type: Full-time About Us:Avala is a visionary company at the forefront of the labor economy and AI revolution, operating as a two-sided marketplace. We are dedicated to reshaping the future of work while ensuring our AI systems are closely aligned with human values.Our innovative platform facilitates the integration of human feedback into AI processes, distinguishing itself from traditional crowdsourcing methods. By dynamically orchestrating digital assembly lines with the efficiency of a Gigafactory, Avala adeptly meets the needs of complex data labeling and high-volume content moderation on a global scale.We recognize the transformative potential of AI in society and are committed to fostering positive and inclusive changes. Our goal is to empower individuals and communities worldwide, providing them with the opportunity to contribute to the curation and moderation of AI systems.‍ Meet Our Founder:Founded in May 2020 by Emal Alwis, a seasoned expert from Tesla Autopilot, Avala is on a mission to tackle pressing global challenges by offering dignified digital work opportunities. We believe that every individual deserves access to equitable wages, regardless of their location, simply through the use of a smartphone. Position Overview:As a Lead Backend Software Engineer on the Avala Engineering team, you will play a crucial role in designing and implementing a variety of tools that power our Digital Assembly Line. This key function supports AI-assisted human labeling and diverse machine learning workflows.Your contributions will significantly influence the lifecycle of Avala’s full-stack ML Ops platform, encompassing data curation, processing, discovery, annotation, and visualization. You will also develop tools that automate the complete workflow for training, validating, and deploying customer models into production.We seek a backend engineer with outstanding software engineering capabilities who can make immediate contributions to our tooling systems. While familiarity with machine learning, computer vision, or neural networks is advantageous, it is not a prerequisite. A strong candidate will either be a skilled software generalist or a specialist eager to learn and grow within our dynamic environment.

At Collective Health, we are revolutionizing the way employers and their employees interact with health benefits. By integrating state-of-the-art technology, empathetic service, and exceptional user experience design, we are changing the landscape of healthcare.The Provider Servicing team is dedicated to enhancing our integrations with partners to ensure a smooth experience for our Providers. We prioritize delivering accurate information that Providers need to deliver care and process claims effectively. Maintaining information integrity and security is paramount as we utilize advanced technologies to achieve our goals. Our modern health management systems rely heavily on these integrations.As a Lead Backend Engineer, you will take ownership of the Provider Servicing systems, developing new AI-driven solutions while supporting existing microservices-based applications and integration platforms. This role offers opportunities for advancement, including leading a team, exploring new technologies, and contributing to our evolution into a comprehensive healthcare platform.

Airtable is on the lookout for a highly skilled Senior Software Engineer to join our Product Backend team. In this role, you will collaborate with cross-functional teams to design and implement robust backend solutions that drive our product’s architecture. Your expertise will help us enhance user experience and scalability while ensuring system reliability and performance.

Join Our Team at Unify!At Unify, we are at the forefront of innovation, developing the first AI-driven system of action for revenue teams. Our mission is to empower organizations by transforming outbound sales into their most effective growth accelerator, making go-to-market strategies observable, repeatable, and scalable. Founded in 2023 by visionary leaders from Ramp and Scale AI, our diverse team boasts experience from renowned companies such as Airbnb, Meta, Waymo, and Monday.com.In 2024, we achieved an impressive 8x revenue growth and currently serve esteemed clients like Perplexity, Cursor, SoFi, and Justworks. We’re a dynamic and high-energy team that has successfully raised $58M from prominent investors including Thrive, Emergence, and OpenAI. Be part of our journey to redefine the future of go-to-market strategies!About Us:Founded on January 17, 2023, by Austin Hughes and Connor Heggie, Unify aims to build the premier system-of-action for go-to-market teams, starting with an end-to-end platform that facilitates warm outbound sales. Today, the outbound sales landscape is cluttered with cold, mass outreach, yielding minimal conversion rates. Our innovative platform is designed to connect sales teams with the right prospects at the perfect moment.Our remarkable growth trajectory continues, with an 8x revenue increase year-over-year, and we proudly provide services to a wide range of clients, including Guru, Justworks, Together.AI, and Hightouch. Join our passionate, driven team and help us reshape the way go-to-market strategies function.Role Overview:As a Staff Software Engineer, you will lead the development of innovative products from inception to launch, collaborating closely with our founders. You will take ownership of critical engineering projects that deliver significant value to our customers while establishing the technical groundwork for Unify. This is an opportunity to work at the cutting edge of technology, leveraging the latest advancements in AI.Your Responsibilities:Collaborate with a highly skilled team in product, design, and engineering to shape our product roadmap and engineering foundation.

About Onos HealthAt Onos Health, we are driven by a bold mission: to ensure that every dollar spent on healthcare translates into the highest quality of care possible. Alarmingly, 30% of healthcare spending in the U.S. is squandered due to ineffective care and administrative inefficiencies resulting from misalignment between providers and payers.We are tackling this challenge head-on by developing the largest AI-powered healthcare data platform. Our innovative models empower payers to make quicker and more precise decisions for their populations. By directing members to appropriate care, Onos is reallocating resources to high-quality care that enhances outcomes and reduces healthcare costs.Having recently secured a $6 million Seed funding round with prominent investors, we are already collaborating with some of the largest health plans in the nation, achieving our first national plan just months post-launch.Join us in redefining healthcare for the better.Why Choose Onos?Make a meaningful impact: Be part of fixing what is fundamentally broken in healthcare.Collaborate directly: Work alongside seasoned founders with extensive expertise in healthcare and data.Embrace our culture: Become part of a high-performing, transparent, and results-driven team.Gain ownership: Experience significant responsibility and autonomy from day one.Seize the opportunity: Play a crucial role in building a fast-growing, category-defining healthcare AI company.The RoleWe are looking for a skilled technical leader (Tech Lead/Manager level) who is passionate about improving healthcare administration in the United States. In this role, you will take charge of developing key components of the Onos platform through hands-on development and technical leadership. As one of the early team members, you will closely collaborate with our founding team while helping to build and guide a growing engineering team. This position is hybrid, based in San Francisco, requiring in-office attendance 2-3 times per week.Your Responsibilities at OnosLead the integration and rollout of the Onos platform for new enterprise clients, providing actionable insights and recommendations to health plan administrators.Oversee the end-to-end development of new features and functionalities for the Onos platform, including requirements gathering, scoping, architecture, implementation, and testing to ensure timely and high-quality results.

About MetaviewAt Metaview, we are revolutionizing the workplace by eliminating the burdens of toil, the barrier to progress. We believe in the power of Human-Computer Symbiosis to enhance productivity.Our AI copilot transforms how hiring is approached, leading to:Increased flow-state, reduced toil.Enhanced insights, less guesswork.Focus on human-centricity over process-centricity.Founded in 2018 by Siadhal and Shahriar, both ex-Uber and Palantir employees, Metaview has grown to support thousands of users at leading companies like Quora, Robinhood, Brex, Elastic, and Replit. We're proud of our small yet high-performing team, dedicated to doing great work.About the RoleAs a Product Engineer at Metaview, you will embody a customer-centric and product-focused mindset. You will lead the design, development, and operational aspects of our products, taking ownership of your work in a collaborative and dynamic environment.While we seek a full stack talent, this role is geared toward those who lean towards backend development. Your primary responsibilities will revolve around backend coding, but you will also engage with other parts of the stack to maintain high productivity.We value clean and effective coding, and while familiarity with languages and tools is appreciated, a willingness to learn and adapt is essential as our product continually evolves. Currently, our technology stack includes:Python for backend application development.Typescript and React for frontend application development.Serverless Framework for application management.

Join Air Apps as a Backend Software EngineerAt Air Apps, we’re passionate about innovation and speed. Founded by a family in 2018 in Lisbon, Portugal, we are on a mission to revolutionize how individuals and entrepreneurs manage their resources with our AI-powered Personal & Entrepreneurial Resource Planner (PRP). With over 100 million downloads globally, and offices in both Lisbon and San Francisco, we continue to grow as a self-funded company.As a Backend Software Engineer, you will play a crucial role in designing, developing, and maintaining the server-side components of our applications. Your collaboration with product managers and frontend developers will ensure our services are robust and scalable, ready to support our rapid growth.Join us in this exciting journey to redefine resource management and positively impact lives worldwide.

About FormalAt Formal, we empower organizations with cutting-edge data security solutions that enable teams to effectively manage and understand their data seamlessly.Our innovative approach involves developing a state-of-the-art protocol-aware reverse-proxy for datastores and APIs, allowing businesses to monitor their data in real-time. This capability ensures that sensitive information is handled according to the principle of least privilege, utilizing masking, filtering, and anonymization strategies.We proudly serve top-tier companies such as Ramp, Gusto, and Notion, helping them navigate challenges in data security, compliance, and infrastructure access.Backed by leading venture capital firms like Thrive Capital and Y Combinator, alongside angel investors from renowned tech companies such as Datadog, Clickhouse, Plaid, and Vanta, Formal is at the forefront of data security innovation.About the RoleWe are on a mission to assemble an exceptional engineering team and are seeking individuals eager to make a substantial impact on our product and company growth.The ideal candidate possesses a profound understanding of scalable backend systems, demonstrates a strong sense of ownership, and thrives on managing projects from their inception to full-scale production deployment.Our current technology stack includes Golang, Rust, Temporal, various datastore protocols (such as Postgres, S3, Kafka, MySQL, Snowflake, Redshift, SSH), and AWS.What You'll DoDesign and develop a robust data platform capable of processing substantial data volumes in real-time.Lead the development of new product features, overseeing everything from research and implementation to ongoing maintenance.Enhance the performance and reliability of both new and existing features.Spearhead initiatives that could significantly influence Formal's trajectory.Architect scalable services as the company grows and manages increasing traffic.What You NeedProven experience in software development, specifically in building data-intensive platforms.A strong appreciation for code simplicity and performance optimization.Expertise in Golang and familiarity with its ecosystem.Experience with data streaming frameworks such as Apache Kafka and Google Pub/Sub.

Company BackgroundAt Specter, we are pioneering a software-defined control plane that enhances the safety and visibility of physical assets for American businesses. Our innovative approach leverages a robust hardware-software ecosystem built on advanced multi-modal wireless mesh sensing technology, drastically reducing the costs and time associated with sensor deployment.Our platform is set to revolutionize the way companies perceive their physical environments, enabling real-time visibility and management of operations. With a passionate team hailing from prestigious organizations such as Anduril, Tesla, Uber, and the U.S. Special Forces, we are committed to leading the charge in the rapidly evolving realm of physical AI and robotics.Role + ResponsibilitiesWe are on the lookout for a Backend Software Engineer to join our engineering team. In this role, you will be instrumental in designing, deploying, and scaling distributed systems that power our mother node base stations and cloud services. Your contributions will ensure the reliability, scalability, and performance of Specter’s sensing and perception platform across both edge devices and cloud infrastructure.Key responsibilities include:Architecting and operating distributed, Linux-based systems across edge and cloud environments.Designing scalable pipelines for streaming, storing, and processing vast amounts of video and sensor data.Building containerized services (Docker/Kubernetes) for the deployment of perception and inference workloads at scale.Developing observability systems for monitoring, logging, and alerting across our fleet of edge nodes and cloud infrastructure.Optimizing queue-based video ingestion, transcoding, and upload pipelines for reliability in bandwidth-constrained environments.Implementing highly available infrastructure for real-time alerting, APIs, and customer-facing event systems.Collaborating cross-functionally with hardware, perception, and application teams to ensure infrastructure supports rapid iteration and scalability.

Join Pinterest as a Senior Backend Software Engineer, where you'll be part of a dynamic team dedicated to building innovative solutions that enhance user experiences. We are looking for a passionate engineer with a strong background in backend development, who thrives in a fast-paced environment and is eager to tackle complex technical challenges.

About AnonAnon is at the forefront of revolutionizing enterprise automation through our innovative platform designed to deploy authenticated AI agents for critical data workflows.We are addressing one of the most significant challenges in enterprise automation: unlocking and transforming data that is currently inaccessible due to authentication barriers. Our cutting-edge platform empowers AI agents to securely interface with web-based systems, extracting unstructured data and seamlessly delivering it via modern APIs.Since our inception in 2023, we have enabled industry leaders to convert weeks of manual processes into automated workflows that complete in mere minutes. Our efforts have garnered $14M in funding from renowned investors including Union Square Ventures, Forerunner Ventures, Okta Ventures, and Abstract Ventures.Our vision is clear: every business system should be fully accessible to AI agents. If you are passionate about constructing the infrastructure that will drive the next generation of AI applications, we invite you to join our dynamic team of 12 in San Francisco.www.anon.com/careers

About WorkWhileAt WorkWhile, we are dedicated to empowering hourly workers to achieve financial stability and improved quality of life. With over 80 million Americans engaged in hourly employment, many face unpredictable schedules, low wages, and scarce benefits, which can lead to economic hardship.Our innovative platform is transforming the landscape of frontline work by fostering a more adaptable and effective labor market. Leveraging advanced AI technology, WorkWhile enables businesses to swiftly connect with top-tier talent. Workers enjoy same-day pay, complimentary telehealth services, opportunities for skill advancement, and the flexibility to select shifts that align with their expertise and personal schedules.Our ambitious aim is to harmonize incentives and address inefficiencies in the labor market, challenging the $650 billion staffing and recruiting industry. Supported by Khosla Ventures and celebrated by the Inc. 5000 for remarkable growth, WorkWhile is at the forefront of redefining the future of work.

About Ivo, Inc. Ivo, Inc. builds technology for the legal sector, focusing on tools that help legal professionals work more efficiently. Based in San Francisco, the team has launched several products in recent years, including: An AI-powered agent for MS Word that assists with document editing (2023) Agentic RAG using embeddings models (2023) LLM-based large-scale legal fact extraction (2024) A legal assistant for accurate search across large contract databases (2024) Advanced clustering for related legal documents (2025) Automated deviation analysis to surface hidden risks in contracts (2025) Tools for merging contracts and amendments into a single timeline, giving clients a clear view of their agreements (2025) Role Overview: Backend Software Engineer The Backend Software Engineer will help build and scale systems that address complex legal challenges. This role centers on creating reliable infrastructure and tools to process millions of contracts and support legal teams. What You Will Do Develop systems that process and analyze large volumes of contracts with high reliability Design and implement data pipelines to coordinate LLMs, extraction, and clustering algorithms Build precise search and retrieval systems for legal data Work closely with legal experts and product teams to adapt to new developments in LLMs Our Mission Legal teams in major organizations often face long hours and demanding workloads, especially in contract review. Until recently, technology provided little relief. With advances in LLMs, Ivo aims to restore balance by automating tedious legal tasks. Ivo’s AI-native platform is designed to reduce manual work for lawyers. The software is well-received by users and currently holds an 85% trial win rate, the highest in the market. The team continues to expand what the platform can do. Who We’re Looking For Engineers who enjoy coding, value collaboration, and want to solve challenging problems with creative solutions

About CondorAt Condor, we are transforming the financial infrastructure of clinical development. While substantial investments are made annually to discover and develop new therapies, the processes behind these advancements often remain outdated and disconnected. Our mission is to bridge this gap, creating a cohesive system that integrates clinical operations, vendor activities, and financial data into a real-time intelligence layer. This empowers R&D and finance teams with the insights they need to make informed decisions.Our AI-driven, pharma-native infrastructure is designed to scale industry standards that we have helped shape alongside major partners. We facilitate prediction, control, and execution in some of the most complex R&D environments globally.As we continue to gain the trust of enterprise teams, we are now focused on the critical task of scaling our operations in a high-stakes environment.Condor is a rapidly growing company, backed by leading institutional investors such as Felicis and 645 Ventures, collaborating with top 200 biopharma companies. This is a unique opportunity to contribute to the infrastructure that influences how new therapies reach patients.The RoleWe are seeking a Senior Backend and Data Platform Engineer to play a key role in developing the foundational data infrastructure for Condor’s financial intelligence platform. This position is pivotal in turning complex clinical and financial data into actionable intelligence that enterprise biopharma teams can rely on.In this role, you will be responsible for designing and managing the core data foundations that underpin Condor’s financial engine and AI capabilities. Your work will involve modeling intricate, high-stakes data, constructing reliable data pipelines and services, and ensuring that product features and intelligence workflows function with precision, consistency, and scalability. The systems you develop will directly support critical finance and operational applications.This hands-on, senior engineering position provides you with significant ownership. You will engage with backend services, data pipelines, and APIs, bringing features from concept to production. You will define necessary data schemas, transformations, and architectural patterns that become essential as our platform evolves. Although your primary focus will be on backend and data engineering, you will also be encouraged to work across the stack to ensure seamless integration of data and intelligence.