Open Source Software Author Cto Jobs

About Cubist: Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources. About our Team: KEPL is a fast-growing team at Cubist Systematic Strategies. We are specialized in medium-frequency statistical arbitrage strategies with high Sharpe. The team is made up of people from top universities and top tier trading and tech firms, including: D.E. Shaw, Two Sigma, Citadel, Meta, Google, etc. We have an open and collaborative culture, and we value rigorous research and innovative technologies. Please send CVs to [email protected] with “2026 KEPL QD Application” in the subject line. Role: We are looking for a quantitative software developer to join our team and contribute to multiple initiatives that aim to expand our business. The candidate should be passionate about financial market, data and technology. In this team, the candidate will gain full-stack exposure and build expertise in multiple aspects of quantitative trading. Responsibilities: Improve data ETL pipeline and build tools to analyze new data efficiently. Build technologies to bolster research & trading efficiency. Expand to new markets and asset classes. Manage day-to-day operations in a fast-paced environment. Requirements Master/PhD degree in math, computer science, engineering, or other related fields. 1-3 years of professional experience in software development or data science/analytics. Strong combination of quantitative skills and programming skills. Proficiency in Python; knowledge of common data analytics tools (e.g., SQL, pandas) is a plus. Familiarity with the Linux environment. Excellent written and verbal communication skills. Willing to work in a fast-paced start-

About the Team Security is at the foundation of OpenAI’s mission to ensure that artificial general intelligence benefits all of humanity. The Security team protects OpenAI’s technology, people, and products. We are technical in what we build but are operational in how we do our work, and are committed to supporting all products and research at OpenAI. Our Security team tenets include: prioritizing for impact, enabling researchers, preparing for future transformative technologies, and engaging a robust security culture. About the Role We are seeking a Software Engineer, Security Observability to join our Security team. In this role, you will be responsible for building secure, scalable systems that enhance our security observability infrastructure. Leveraging your strong engineering skills, you will collaborate with cross-functional teams to develop, deploy, and maintain robust software solutions that support our security and detection capabilities. This role is open to remote employees, or relocation assistance is available to one of our OpenAI offices in San Francisco, Seattle, or New York City. In this role, you will: Design and develop scalable software systems that facilitate security observability across our infrastructure. Build and maintain data pipelines that centralize and store security-relevant data from diverse sources. Proactively improve the resilience and reliability of data systems to ensure high platform availability Collaborate closely with Detection & Response (D&R) and other security teams to reduce the company’s security risk. Contribute to data engineering in support of forensic investigations and compliance efforts. You might thrive in this role if you have: Strong software engineering experience, with proficiency in programming languages such as Python, Golang, or similar. A background in infrastructure as code, with experience using tools like Terraform and working with cloud platforms such as Azure. Experience with building and main

Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. About the Role Search is being rebuilt in real time. Millions of people now start with a question to ChatGPT, Claude, Gemini, or Perplexity, and the answer they get decides which products they try. When someone asks how to build an app, a website, or a tool for their business, Replit needs to be the answer. We're hiring an AEO/GEO/SEO Lead to own how Replit gets discovered, across AI-generated answers and traditional search. This is a zero-to-one role. You'll define the strategy, then execute it yourself with AI-leveraged production, agency partners, and cross-functional teams behind you. You'll work daily with our Web, Growth, Brand, Content, Product, Engineering, and Analytics teams. The fastest-growing AI-native companies have already turned AI answers into a primary acquisition channel. Your mandate is to do the same for Replit: grow AI referral traffic into one of our largest sources of new builders, keep our traditional search presence compounding, and make Replit the platform AI assistants recommend when anyone wants to build software. Replit moves fast. We ship continuously, experiment relentlessly, and aim to make every builder more productive and creative. We're looking for someone who thrives in that environment: part strategist, part operator, part scientist of a channel that changes every month. What You'll Do Own the AEO/GEO Strategy Define where Replit must show up across ChatGPT, Claude, Gemini, Perplexity, and Google AI Overviews, for which prompts and buyer intents, and build the playbook to win those answers. Set targets, sequence the roadmap, and defend the strategy with data. Win Citations Across the Open Web LLMs cite what they trust: Reddit threads, YouTube videos, high-authority publications, co

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . The Notifications Platform (also known as Foundation) Team builds the durable infrastructure and services that power Reddit's push, email, and in-app notifications. We provide the APIs, eventing, delivery orchestration, preferences, templates, experimentation hooks, observability, and reliability foundations that enable product teams to reach Redditors with timely, trusted communications at scale. We are looking for an Engineering Manager to lead our Notifications Platform team, shaping the systems that power the future of Notifications at Reddit. In this role, you will lead a team of software engineers responsible for building reliable, scalable platform capabilities used by notification experiences across Reddit. This is a high-impact team that enables product velocity, improves notification quality and reliability, and helps Reddit connect people to the communities and conversations they care about. If building resilient, high-scale distributed systems that make Reddit Notifications dependable and easy to evolve excites you, then you’ve found the right place. What You’ll Do Lead the team that architects, builds, and operates the Notifications Platform/Foundations at Reddit. Set technical direction for shared platform capabilities spanning notification APIs, eventing and workflow orchestration, delivery pipelines, user preferences, templates, experimentation, and observability. Collaborate closely with adjacent Notifications ML teams to build and productionize ML-powered notification systems, providing the scalable pl

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . As a Senior Staff Machine Learning Engineer, Feed Relevance , you'll drive the development of GenAI-powered recommendations, leveraging Reddit’s unique community landscape, rich conversational data, and dynamic engagement patterns. Your deep modeling expertise will directly shape the core architectures behind feed ranking, enabling breakthrough personalization for tens of millions of users. Responsibilities: Deliver on technical initiatives that have significant company-wide impact Set technical direction for the broader Relevance and Feeds teams at Reddit, able to identify opportunities and influence strategy across multiple orgs Work with management on goal setting, planning, and de-risking critical projects Mentor and grow Senior and Staff engineers Create a strong healthy engineering culture Qualifications: 10+ years of industry experience building systems for relevance driven products Subject matter expert in relevance, recommendation, and ML systems; able to solve complex problems in these domains that few others can Deep understanding of how to build sustainable software systems at a large scale engineering organization Experience in influencing organizations on technical direction/best practices Experience working with cross-functional teams such as design, product, business & data teams to deliver great experiences. Strong focus on user experience, usability, scalability, reliability and quality. You are an undying advocate for the user, and you have a deep intuition for how people & machines inte

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Who We Are: The Machine Learning Platform team at Reddit is a high-impact team that owns the infrastructure that powers recommendations, content discovery, user and content quantification, while directly impacting other teams such as Growth, Ads, Feeds, and Core Machine Learning teams. What You’ll Do: As a Senior Software Engineer, ML Platform, you will work on our ML Data Team and be instrumental in architecting, implementing, and maintaining foundational ML infrastructure powering Feeds Ranking, Content Understanding, Recommendations, Ads, and much more to fulfill Reddit’s mission of bringing community and belonging to everyone in the world. You will create ML data-governance tools that help MLEs discover and reason about signals, while contributing across the broader ML data platform—including prediction logging and training data systems. Lead the design, development, testing, and operation of ML signal-governance capabilities that help MLEs discover signals and understand their ownership, lineage, quality, and usage. Build tools that help teams assess signal importance and make informed lifecycle decisions. Partner with MLEs and cross-functional teams to define governance workflows and deliver reliable, intuitive ways to explore and act on signal metadata. Contribute across the ML Data Platform, including prediction logging and training data platforms, to design, develop, test, and operate batch and streaming pipelines processing petabyte-scale data. Drive complex projects end to end from technical planning an

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . The Android Platform team sets the technical direction for Android at Reddit. We design, build and support the Android app for millions of DAUs and the development ecosystem (libraries, frameworks, observability, and build/CI tooling) that every team uses to ship delightful Reddit experiences. As a Staff Android Engineer on the Android Platform team, you’ll set technical direction and lead cross-team initiatives for a large, multi‑team Android codebase, with a core focus on three pillars: Client Health (Crashes/ANRs/Performance), Developer Experiences, and App Architecture (modern and opinionated). You’ll turn ambiguous platform problems into a multi-quarter roadmap, align engineering partners, and stay hands-on from design and implementation through rollout and adoption. What you’ll do Lead technical decisions that will scale Reddit’s Android Platform to the next 100M+ DAUs, balancing long-term platform health with product delivery. Drive Developer Experience strategy to accelerate build and test cycles and improve release safety across teams. Architect Android Client Health and Observability foundations (events, traces, dashboards) to empower engineering teams to safeguard performance and reliability. Champion AI supercharged developer and agent workflows. Provide technical leadership and mentorship to senior engineers, elevating engineering standards across teams through architectural reviews, documentation, and technical guidance. What we expect from you 5+ years software development experience with 3+ years buildin

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Location: Reddit has a flexible first workforce. Don't live near our office? No worries: you can work remotely from anywhere in the US or Canada. About the Team The ML Efficiency team builds the infrastructure, tooling, and optimization systems that enable machine learning engineers and researchers to train, evaluate, deploy, and operate models efficiently at scale. We focus on improving developer productivity, reducing infrastructure costs, increasing hardware utilization, and accelerating experimentation across the company’s ML ecosystem. Responsibilities Design and build systems that improve the efficiency of ML training and inference workloads. Develop tooling that helps ML engineers debug, profile, optimize, and monitor model performance. Improve GPU and general resource utilization through scheduling, resource management, caching, and workload optimization. Partner with ML researchers and product teams to identify bottlenecks and drive performance improvements. Build benchmarking frameworks and performance dashboards for training and serving systems. Optimize distributed training infrastructure, data pipelines, and model serving architectures. Lead cross-functional initiatives that improve the productivity of Reddit ML engineers. Drive technical strategy for ML platform scalability, reliability, and cost efficiency. Qualifications Required BS, MS, or PhD in Computer Science or a related field. 5+ years of software engineering experience. Strong proficiency in Python Profiency in at least one systems language (Go,

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Ads powers Reddit’s mission to bring community, belonging, and empowerment to everyone in the world. The Advertiser Platform organization owns ads.reddit.com, Reddit’s core advertiser-facing product. We’re looking for a mid-level frontend engineer to join our Ads Manager team. Our team includes frontend and backend engineers who build tools that help advertisers create and manage campaigns at scale. We make complex advertising workflows easier to use, with a focus on performance and reliability. In this role, you’ll own medium-sized frontend projects. You’ll help clarify requirements, propose technical solutions, and carry your work through implementation and release. You’ll make progress independently, collaborate with teammates on tradeoffs, and ask for input when you need it. Responsibilities Build intuitive, accessible interfaces that help advertisers create and manage campaigns. Partner with product managers, designers, and backend engineers to turn advertiser needs into scoped projects. Own technical design, implementation, testing, and release for medium-sized frontend projects. Communicate progress, dependencies, and risks early so partners can plan around them. Review code and document technical decisions to help the team maintain and extend its work. Improve frontend performance and reliability, address bugs, and contribute reusable components and patterns. Requirements 3+ years of software engineering experience, including 2+ years in frontend engineering. Experience building and maintaining production web ap

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . The Ads organization powers Reddit's advertising platform, enabling advertisers to reach highly engaged communities while helping Reddit grow its business. The reliability of our Ads systems directly impacts advertiser success, revenue generation, and user experience. The Ads Reliability team partners closely with Ads Engineering to improve reliability, scalability, operational excellence, and developer productivity across Reddit’s advertising ecosystem. We help build and operate highly available services that drive revenue and maintain advertiser trust. We’re looking for a Senior Site Reliability Engineer to build, operate, and scale the critical systems behind Reddit Ads. What you’ll do: Partner with Ads Engineering teams to improve reliability, scalability, and operational excellence of ad-serving, auction, targeting, measurement, and billing systems. Design, build, and maintain infrastructure, tooling, and automation that improve service reliability and engineering productivity. Improve observability through monitoring, alerting, tracing, logging, and dashboards. Participate in on-call rotations and lead incident response efforts for critical production systems. Run root cause analysis and drive corrective actions following incidents. Collaborate with software engineers throughout the service lifecycle, from design reviews through production operations. Drive adoption of SRE best practices including SLIs, SLOs, error budgets, capacity planning, and operational readiness reviews. Reduce operational toil through autom

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Who We Are: The Machine Learning Platform team at Reddit is a high-impact team that owns the infrastructure that powers recommendations, content discovery, user and content quantification, while directly impacting other teams such as Growth, Ads, Feeds, and Core Machine Learning teams. What You’ll Do: As a Senior Staff Software Engineer, you will help define and lead the vision for Reddit’s large-scale GenAI Platform, shaping the strategy, architecture, and operating model that enable teams across the company to build, deploy, and scale generative AI products with confidence. Contribute to the design, implementation, and maintenance of the LLM Gateway, focusing on features like unified API endpoints for internal/externally hosted LLM, rate/token limit management, and intelligent failover mechanisms to boost uptime and reliability. Lead and execute the vision, strategy, and roadmap for Reddit’s large-scale GenAI Platform. Define the platform architecture and operating model that enable teams to build, deploy, and scale GenAI products reliably. Drive the strategy for a unified LAG Gateway supporting internally and externally hosted LLMs through consistent APIs and abstractions. Set the direction for core platform capabilities such as rate and token limit management, intelligent failover, and production resilience. Shape Reddit’s approach to an enterprise-grade RAG system Establish the strategic direction for agentic AI workflows and tool-use patterns across the platform. Own the end-to-end platform strategy from concept t

Who We Are Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,500 firms in 60 countries use Addepar to manage and advise on nearly $10 trillion in assets. Its open platform integrates with 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and levels of complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, São Paulo, London, Edinburgh, Geneva, Warsaw, Dubai, Pune and Singapore. T he Role Part of the broader Addepar Data organisation, the Data Client Projects team is responsible for converting and onboarding existing client portfolio data onto Addepar. During the lifecycle of a project, members of this team will coordinate data transmission/extraction, transform and import data, and assist with the validation of the data. Accurate and timely completion of these projects are crucial in enabling our clients to take full advantage of Addepar's reporting and analysis capabilities. Applicants must have, and maintain, the right to work in the United Kingdom from the first day of employment. Please note that visa sponsorship is not available for this role. What You’ll Do Manage and complete data conversion projects of varying complexity from third-party systems and files sourced from our custodial data partners. Partner with members of Sales and Services organisations to drive alignment on project cost estimates and deliverables, and to ensure positive client outcomes. Develop new/improve existing python scripts and Juptyer notebooks to interact with APIs. Collaborate with Product and Engineering to identify and implement process improvements and tooling enhancements that increase operational efficiency. Maintain team resourc

At Vanta, our mission is to help businesses earn and prove trust. We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. As a Regional Channel Manager on Vanta's Channel & Alliances team, you'll be embedded in the mid-market sales motion — working shoulder-to-shoulder with sales managers and account executives to drive partner-sourced and partner-influenced pipeline across the segment. This is a field execution role. You'll use the partner ecosystem as a multiplier on direct sales coverage, co-selling with regional resellers, VARs, and MSPs to open doors, accelerate deals, and expand Vanta's presence in the market. You won't be managing partner relationships from a distance — you'll be in the field, in the forecast, and in the room. What you’ll do as a Channel Manager at Vanta: Partner with sales managers and AEs to identify and pursue named accounts through channel partners, dividing and conquering coverage across your segment Facilitate account mapping sessions with regional partner sales teams, turning relationships into pipeline Co-sell with partner reps to advance and close partner-sourced and partner-influenced deals Enable regional and tier-2 partners to go to market with Vanta effectively — product positioning, competitive context, and deal support Maintain clean, accurate pipeline data in Salesforce — partner attribution, opportunity staging, and forecast hygiene are core to this role Coordinate closely with Partner Account Managers at deal close to ensure smooth customer handoffs Participate in weekly sales pod syncs and contribute to the FLM's forecast with current partner pipeline data How to be successful in this role: 4+ years of channel or partner experience in software or SaaS Proven ability to co-sell alongside direct sales t

Who We Are Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,500 firms in 60 countries use Addepar to manage and advise on nearly $10 trillion in assets. Its open platform integrates with 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and levels of complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, São Paulo, London, Edinburgh, Geneva, Warsaw, Dubai, Pune and Singapore. The Role Part of the broader Addepar Data organisation, the Data Client Projects team is responsible for converting and onboarding existing client portfolio data onto Addepar. During the lifecycle of a project, members of this team will coordinate data transmission/extraction, transform and import data, and assist with the validation of the data. Accurate and timely completion of these projects are crucial in enabling our clients to take full advantage of Addepar's reporting and analysis capabilities. Applicants must have legal authorization to work in the country where this role is based on the first day of employment. Visa sponsorship is not available for this position. What You’ll Do Manage and complete data conversion projects of varying complexity from third-party systems and files sourced from our custodial data partners Partner with members of Sales and Services organisations to drive alignment on project cost estimates and deliverables, and to ensure positive client outcomes. Develop new/improve existing python scripts and Juptyer notebooks to interact with APIs Collaborate with Product and Engineering to identify and implement process improvements and tooling enhancements that increase operational efficiency Maintain team resources and

Who We Are Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,400 firms in nearly 60 countries use Addepar to manage and advise on nearly $9 trillion in assets. Its open platform integrates with nearly 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, London, Edinburgh, Pune, Dubai, Geneva, Singapore and São Paulo. The Role We are currently seeking a Portfolio Data Analyst to join our Portfolio Data Feeds Team! Addepar provides asset owners and advisors a clearer financial picture at every level, allowing them to make more informed and timely investment decisions. As a Portfolio Data Analyst focusing on our portfolio data platform, you will be responsible for integrating client portfolio data into Addepar’s leading portfolio management products. You will work closely with data providers, internal partners and engineering to expand Addepar’s capabilities and coverage to meet client needs. You will partner closely with leaders across the business to build the preeminent data solutions and services that serve investment teams in wealth management and beyond. In addition, you work with other partners within the product management team on a variety of initiatives to improve overall data management and integration across Addepar. Applicants must have legal authorization to work in the country where this role is based on the first day of employment. Visa sponsorship is not available for this position. What You’ll Do Analyse and onboard portfolio data content from a variety of sources using industry standard analysis tools (such as SQL and Jupyter Notebooks) int