By bringing together next-gen technology and the finest live data available, Genius Sports is enabling a new era of sports for fans worldwide, delivering experiences that are more immersive, interactive and personalized than ever before. Learn more at geniussports.com. 

About the Role  

We’re looking for a Senior Software Engineer on our Sports AI team to help build the next generation of real-time AI systems powering sports analysis and insights. 

These systems transform live sports broadcasts (incorporating signals from video, crowd noise, audio commentary, and text) into a structured understanding of game context and auto-generated insights. The outputs from these systems power a range of products including automated highlight clipping, augmented broadcasts, semi-automatic play-by-play collection, and natural-language insight generation. For example, these systems can detect a goal, attribute it to the correct player, and localize where it occurred on the pitch within seconds by combining crowd noise spikes, commentary signals, and video cues. 

This role sits at the intersection of streaming and distributed systems, AI, and product engineering. You’ll build and operate real-time pipelines that process noisy, asynchronous inputs under tight latency constraints. These systems combine traditional streaming and data processing techniques with modern multimodal AI models to produce reliable outputs in production. 

You’ll work on challenges like aligning signals across multiple sources, handling uncertainty and inconsistency in model outputs, and designing systems that degrade gracefully in real-world conditions. We are early in building these capabilities, so the role involves working through ambiguity, experimenting with different approaches, and building new systems from first principles where established patterns don’t yet exist. 

Key Responsibilities 

• Design, build, and operate real-time streaming systems that convert live sports broadcasts into structured events, attributes, and insights
• Ingest and synchronize signals from video, audio, commentary, and data feeds under real-world latency and reliability constraints
• Integrate modern AI models into production systems, including multi-step pipelines where model outputs are composed, validated, and refined
• Design and implement evaluation and observability frameworks to measure system quality, including offline benchmarks, real-time metrics, and regression testing
• Develop mechanisms for identifying and handling uncertainty in model outputs, such as confidence scoring, validation checks, and human-in-the-loop workflows where appropriate
• Own systems end-to-end from early prototypes through production, making key architectural decisions around scalability, reliability, and performance
• Collaborate closely with product and data partners to shape, prioritize, and ship high-impact systems
• Mentor engineers and help establish best practices for building and operating applied AI systems in production 

  
Qualifications   

• 5+ years of experience building production-grade software systems 
• Strong software engineering fundamentals including system design, testing, observability, and performance 
• Experience building streaming, data-intensive, and/or distributed systems with real-time constraints
• Proven ability to design scalable systems that are robust under real-world conditions, including handling partial failures, inconsistent data, and latency tradeoffs
• Ability to evaluate system quality beyond traditional metrics (e.g., ambiguous or probabilistic outputs)
• Product-minded: able to translate ambiguous problems into practical, high-impact solutions
• Strong, demonstrated interest in building AI-powered features or systems; keep up with latest generative AI progress and capabilities
• Comfortable working in fast-moving, iterative environments with evolving requirements 

  
Preferred Qualifications   

• Hands-on experience integrating LLMs and other ML/AI systems in production workflows via platforms like Vertex AI or AWS Bedrock
• Experience building or maintaining human-in-the-loop workflows
• Familiarity with streaming systems and tooling (e.g., Pulsar, Kafka, Flink, etc.)
• Experience working with audio/video streaming and processing systems, including familiarity with media delivery protocols (e.g., HLS, DASH, RTP), container formats, codecs, and tooling such as FFmpeg or GStreamer
• Background or strong interest in sports
• Experience with Rust 

The salary for this role is based on an annualized range of $160,000 - $230,000 USD. This role will also be eligible to take part in Genius Sports Group's benefits plan.

We enjoy an ‘office-first’ culture and maximize opportunities to collaborate, connect and learn together. Our hybrid working models differ depending on your role and location. Occasional travel may be required.

As well as a competitive salary and range of benefits, we’re committed to supporting employee wellbeing and helping you grow your skills, experience and career. Learn more about how rewarding life at Genius can be at Reward | Genius Sports. One team, being brave, driving change 

We strive to create an inclusive working environment, where everyone feels a sense of belonging and the ability to make a difference. Learn more about our values and culture at Culture | Genius Sports.

Let us know when you apply if you need any assistance during the recruiting process due to a disability.

Voyager is an innovative defense, national security and space technology company committed to advancing and delivering transformative, mission-critical solutions. We tackle the most complex challenges to unlock new frontiers for human progress, fortify national security, and protect critical assets to lead in the race for technological and operational superiority from ground to space. 

Forge the Future: Join Voyager Technologies 

The future belongs to those who build it. At Voyager Technologies, we’re building technologies that protect lives, expand frontiers and prepare us for what’s next. And we’re doing that with people who are wired to solve, build, adapt and lead. These roles are not for the faint of heart.  

You’ll help lay the foundation for humanity's future. Join a culture where innovation thrives, curiosity is rewarded, and impact is real. We’re a company of doers, thinkers and builders, united by purpose and grounded in reality. 

If you want to put your skills to work where the stakes are real and the mission is bigger than any one person, forge the future with Voyager. 

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Job Summary: 

We are seeking a Principal Technical Director, AI-Enabled Spectrum Dominance to serve as the senior technical leader for our advanced RF systems, software, algorithms, and agentic AI portfolio as applied to space-based and terrestrial electromagnetic warfare and sensing. In this pivotal role, you will drive the technical vision for the future of spectrum dominance while simultaneously leading the application of Voyager’s Agentic Computational Engineering (ACE) platform to RF hardware systems and digital signal processing (DSP) development.

This role uniquely combines deep RF domain expertise with leadership over AI-driven hardware design and simulation workflows. You will oversee how agentic AI systems are deployed to compress RF hardware development cycles—from antenna design and transceiver architecture to DSP algorithm development and system-level integration—accelerating the path from concept to deployable, mission-critical capability for the warfighter.

The right person has deep familiarity with hardware, software, and algorithms across a variety of RF functions, including communications, electronic warfare (EW), radar, and sensing, with particular emphasis on space-based active and passive RF systems. You must be as comfortable defining and executing complex research and development programs as you are productizing outcomes into monetizable commercial motions. You must also have the vision and technical fluency to direct how multi-agent AI platforms transform traditional RF engineering workflows.

You will be joining the Advanced Technology Development team, a specialized unit within our Strategic Growth and Technology Organization. This team is responsible for defining and developing Voyager’s future technologies, with a relentless focus on high-impact, high-ROI technology and product R&D. You will work at the intersection of Voyager’s Spectrum Dominance portfolio and the Agentic Computational Engineering (ACE) team—the group building Voyager’s Generative Engine, the AI-native platform that compresses complex hardware development cycles from years to days.

You will be joining the Advanced Technology Development team, a specialized unit within our Strategic Growth and Technology Organization. This team is responsible for defining and developing Voyager's future technologies, with a relentless focus on high-impact, high-ROI technology and product research and development. Our technology portfolio spans the totality of Voyager's capabilities and beyond—we are tasked with creating both leap-ahead capabilities in existing technology areas and strategically moving into and developing foundational technology in new, uncharted areas.

Responsibilities:  

• Technical Leadership & Vision

  • Define and drive the technical roadmap for Voyager’s Spectrum Dominance portfolio, serving as the ultimate technical authority for RF, EW, radar, and sensing programs—with specific emphasis on space-based active and passive RF systems.
  • Set the strategic direction for applying Agentic Computational Engineering to RF hardware design, DSP algorithm development, and end-to-end RF system integration.
  • Own the vision for how AI agents are used across the RF hardware design lifecycle, from generative antenna and front-end design through automated DSP algorithm synthesis and simulation-in-the-loop optimization.

  Agentic Computational Engineering for RF & DSP

  • Lead and oversee the deployment of Voyager’s ACE platform (the Generative Engine) for RF-specific applications, ensuring AI agents can autonomously design, simulate, evaluate, and optimize RF hardware and DSP subsystems.
  • Direct the development of domain-specific AI agents for RF engineering workflows—including agents for electromagnetic simulation, transceiver architecture exploration, waveform design, interference analysis, and signal chain optimization.
  • Partner with the ACE platform team to define requirements for agent orchestration, physics simulation integration (EM solvers, thermal analysis, signal integrity), and design-for-manufacturing constraints specific to space-qualified RF hardware.
  • Establish automated simulation loops between RF/DSP design agents and high-fidelity physics solvers, including meshing, solving, and post-processing for antenna patterns, RCS analysis, link budgets, and spectral performance.
  • Drive adoption of AI-first workflows across the RF engineering organization, championing use of LLM-based tools and agents to accelerate documentation, design review, test planning, and compliance verification.

  R&D Execution

  • Lead the execution of complex, high-stakes research and development programs for next-generation space-based and terrestrial RF systems, ensuring technical risks are managed and innovative solutions are delivered on schedule.
  • Oversee the design, analysis, and testing of advanced RF systems including satellite communications payloads, space-based SIGINT/ELINT collectors, synthetic aperture radar (SAR), and passive RF sensing architectures.

  End-to-End System Architecture

  • Architect complete RF systems bridging DSP algorithms, software-defined radio (SDR) hardware, FPGA/SoC platforms, and high-level mission software, ensuring seamless integration across the entire signal chain for both space and ground segments.
  • Define system architectures for space-based RF payloads that account for the unique constraints of the orbital environment: radiation tolerance, thermal management, power budgets, size/weight limitations, and long-duration mission reliability.

  Productization & Commercialization

  • Bridge the “valley of death” by guiding technologies from TRL 3–6 research efforts into robust, productized solutions ready for manufacturing and deployment. Work closely with product and business teams to define commercialization strategies.
  • Leverage agentic AI capabilities to accelerate productization timelines, using the Generative Engine to rapidly iterate on design variants and manufacturing-ready configurations.

  Team Building & Mentorship

  • Build and inspire a world-class engineering team spanning RF hardware, DSP, and AI-enabled design disciplines. Mentor senior engineers and researchers, fostering a culture of technical rigor, creativity, and rapid iteration.
  • Grow and lead a multidisciplinary team that includes RF engineers, DSP developers, and AI/ML engineers working collaboratively on agentic RF design capabilities.

  Cross-Functional Collaboration

  • Partner with business development and capture teams to shape new opportunities, providing technical grounding to win major government contracts.
  • Collaborate with the ACE platform team, propulsion, electronics, and manufacturing domain teams to ensure RF-specific agentic capabilities integrate seamlessly with Voyager’s broader Generative Engine ecosystem.

Required Qualifications:  

• Bachelor’s degree in Electrical Engineering, Physics, Mathematics, or a related field.
• Must be eligible to obtain and maintain a US Government clearance (requires US citizenship).
• Space-Based RF Systems Expertise: Demonstrated background in the design, development, and deployment of space-based active RF systems (such as satellite communications transponders, SAR payloads, space-based radar, or active phased arrays for orbital platforms) and/or passive RF systems (such as space-based SIGINT/ELINT collectors, radiometers, or passive sensing payloads). Must have direct experience with the unique constraints of the space environment, including radiation hardening, thermal management, power budgeting, and long-duration reliability.
• Deep RF & Systems Expertise: Proven background in designing and developing complete end-to-end RF systems (both RF front-ends and digital subsystems). Deep understanding of the physics of the spectrum and the hardware required to dominate it across communications, EW, radar, and sensing domains.
• SDR Proficiency: Extensive experience designing and developing complex software-defined radio (SDR) systems, including familiarity with modern transceiver architectures and FPGA/SoC platforms.
• Algorithm Development: Strong track record in designing and developing complex digital signal processing (DSP) and RF Machine Learning (RFML) algorithms. Understands how to apply modern compute—including AI/ML techniques—to solve traditional RF problems.
• R&D Leadership: Demonstrated experience leading multi-disciplinary engineering teams (Hardware, Software, RF, FPGA, AI/ML) through the full lifecycle of advanced R&D programs, from white paper to prototype to deployment.
• Domain Expertise: Demonstrated background fielding capability in one or more of the relevant spectrum dominance domains: SIGINT, EW, or Radar, with preference for space-based applications.
• Programmatic Execution: Familiarity with the unique challenges of government R&D contracting, including experience delivering against technical milestones for customers like DARPA, ONR, AFRL, NRO, or the Space Force.
• Proposal Development: Proven proposal development experience, including contributing to technical volumes and cost estimations for complex government solicitations.

Preferred Qualifications:  

• Master’s or PhD in Electrical Engineering, Physics, Mathematics, or a related field.
• Active U.S. Top Secret / SCI Security Clearance.
• Direct experience with space-based RF payload programs (design, integration, test, and on-orbit operations) for DoD or Intelligence Community customers.
• Experience with or strong interest in AI-driven engineering workflows, including agentic AI systems, LLM-based design tools, automated simulation frameworks, or generative design platforms.
• Familiarity with agent orchestration frameworks (e.g., LangGraph, AutoGen, or custom agent runtimes) and an understanding of how multi-agent systems can be applied to hardware design problems.
• Experience with electromagnetic simulation tools (HFSS, CST, FEKO, or equivalent) and a vision for how AI agents can automate and accelerate simulation-driven RF design.
• Experience productizing advanced R&D into monetizable commercial motions, demonstrating a track record of turning science projects into shipping products.
• Demonstrated history of leading winning proposals for space-based RF programs.
• Background in orbit-specific RF considerations: Doppler compensation, atmospheric propagation effects, space-to-ground link budgets, anti-jam architectures, and low-probability-of-intercept (LPI) waveforms.
• Willingness to travel up to 25% to customer sites, test ranges, and Voyager locations.

Please click “Apply” to submit your application. 

Voyager offers a comprehensive, total compensation package, which includes competitive salary, a discretionary annual bonus plan, paid time off (PTO), a comprehensive health benefit package, retirement savings, wellness program, and various other benefits. When you join our team, you’re not just an employee; you become part of a dynamic community dedicated to innovation and excellence.

Voyager is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.  

Minority/Female/Disabled/Veteran 

The statements contained in this job description are intended to describe the general content and requirements for performance of this job. It is not intended to be an exhaustive list of all job duties, responsibilities, and requirements. This job description is not an employment agreement or contract. Management has the exclusive right to alter the scope of work within the framework of this job description at any time without prior notice. 

AE Studio is an LA-based company focused on increasing human agency by making the AGI future go well. We believe alignment is solvable, people just haven’t tried hard enough. For us, that means focusing on neglected ideas that could unlock major breakthroughs.

We’ve spent over a decade helping clients, from startups to companies like Samsung, Walmart, Berkshire Hathaway, and Goodfire, solve complex technical problems and bring ambitious products to life. We apply the same structures to research. Instead of a client, we partner with visionary researchers exploring neglected alignment ideas. We’re a full-stack R&D group combining engineering, science, and product capability. This puts us in a unique position to move quickly and make real progress on one of the most important problems of our time.

We're fully bootstrapped. We don’t rely on venture capital or private equity. Profits from our client work go directly into internal Skunkworks projects, technical research, and policy engagement. This gives us the freedom to pursue high-risk, high-upside ideas that typical funding models neglect. We can commit to long-term bets without being constrained by short grant cycles or investor timelines.

Our alignment efforts include in-house work, alignment clients like Goodfire AI, and collaborations with Redwood Research and researchers at Anthropic and DeepMind. In the past, we also led pioneering research in brain-computer interfaces, and we continue to expand our scope as the stakes rise.

If you care about actually solving alignment and want to build, we want to talk to you!

ABOUT THE ROLE

We're hiring Product Leads. Strategic, AI-fluent technical operators who own delivery for high-stakes projects from end to end and become trusted advisors to senior client stakeholders along the way. This includes client engagements, internal ventures, product-market fit exploration, and enterprise execution.

This is a hybrid role: part strategic advisor, part technical PM, part AI architect, part founder-in-training. You'll sit at the table with senior leadership, run complex AI projects across generative AI, automation, agent orchestration, and custom software, build real products, and potentially spin one off. AE supports startup spinouts, so you'll have the opportunity to become CEO or CTO of a venture, either one we already have in the works or one you help create.

ABOUT YOU

• You're fluent in modern AI tooling and stacks. LLMs, LangChain, RAG, vector search, OpenAI APIs, fine-tuning, agent orchestration. Adequately fluent to advise non-technical leaders on what's real vs. hype.
• You hold your own with senior client stakeholders, including C-level executives. You engage them as a peer, ask the right questions, push back when something doesn't make sense, and earn their trust quickly.
• You can run a workshop. You facilitate working sessions with client leadership teams that are new to AI, translate their goals into a concrete roadmap, and help them make smart build/buy/sequence decisions.
• You build, not just spec. You prototype, test, and ship real things rather than handing off slides.
• You lead high-stakes projects end-to-end. You break down ambiguity, define milestones, and focus the team on what matters.
• You're fluent across audiences. You translate between engineers, clients, researchers, and senior executives.
• You operate like a founder. You navigate ambiguity, wear multiple hats, and make hard calls with urgency and care.
• You're interested in eventually leading a Skunkworks spinout, internal venture, or product line.

SUCCESS IN THIS ROLE LOOKS LIKE

• Senior client stakeholders rely on you as a trusted advisor, not just a delivery PM
• High client satisfaction and consistent delivery on ambitious timelines
• Impactful prototypes that create real business value
• AI capabilities implemented in useful, reliable ways
• Spinout ventures launched or accelerated based on your leadership

WHAT THIS ROLE IS NOT

• Not a project babysitter. You ship. You lead. You own.
• Not a slide deck creator. You prototype, you test, you build real things.
• Not a solo act. You bring others along, unblocking and collaborating effectively.
• Not a corporate PM, and not a pure delivery PM either. You'll get your hands dirty in tools, code, and strategy, and you'll also help shape the engagement itself with senior client leadership.

REQUIREMENTS

• Proven experience in product leadership, AI product development, or startup building
• Strong understanding of generative AI stacks, LLMs, vector DBs, and APIs
• Track record of advising or working directly with senior leadership on complex, ambiguous problems
• Strong judgment around product, technical, and commercial trade-offs
• Ability to lead cross-functional teams and ship without waiting for permission
• Excellent communication across technical and strategic contexts
• Alignment with AE's mission and long-term thinking
• Full-time availability

BONUS POINTS FOR

• Background in consulting, advisory, or other client-facing strategy work, or equivalent experience operating across varied industries and executive contexts
• Prior founder/operator experience or deep desire to build a venture
• Experience building prototypes or MVPs in AI/no-code/low-code
• Exposure to AGI-aligned thinking or AI safety concepts
• Fluent in user research, iterative development, and lean experimentation
• Network or domain expertise in areas where AI can unlock 10x value
• Based in LA and able to work in person at our office

Salary range is from $120K to $220K per year for people based in California.

Not in the range? That's fine, you can still apply, and our team may fit you in a more senior position that we're not actively hiring right now, but we are growing fast and may have other openings soon.

EQUITY

Working at AE means receiving equity in our client projects and in Skunkworks ventures. The equity is priced at $0 when granted for tax reasons, but AE invests millions into these projects. Equity comes from reduced margins on client work and internal funding. You get a real stake in the things you help build.

The longer you stay, the more value you create and the more equity you receive. If you leave on good terms, you can retain 20% of your equity by staying engaged. If you spin out a Skunkworks venture, you retain 100%.

ML engineers at Riot own the full lifecycle of machine learning in production - from problem framing through model design, deployment, and operation - building systems that serve players at global scale.  They work across disciplines with engineers, data scientists, designers, and product teams to turn ML capabilities into player-facing experiences and tools for making great games.

As a Staff Applied Modeling Engineer on an unpublished R&D product, you will lead the modeling strategy for the team - establishing architecture patterns, setting standards, and continuing to design solutions for the highest-complexity problems directly.  Your work will span multi-month efforts and across multiple disciplines, shaping how the team (and Riot) approach applied ML.  You will report to the Senior Engineering Manager of the Tech Foundations team within an R&D game project.

Responsibilities:

• Work closely with designers, artists, and other engineers to discover and conceptualize opportunities for AI-powered workflow enhancements
• Establish AI/ML architecture patterns within the project and design solutions for high-complexity problems; guide solution design considering integration and operational constraints
• Refine modeling and feature invention strategy for the project; improve architecture trade-offs, signal extraction techniques, and quality standards for complex data sources
• Refine multi-model system design and model optimization; improve interaction analysis, dependency management, and performance evaluation techniques
• Establish pipeline architecture patterns within the project, aligning with Riot’s shared tech ecosystem; guide workflow design and deployment automation; set reliability standards
• Establish research-to-production practices in partnership with research scientists; balance cutting-edge techniques with production reliability
• Elevate the team’s expertise in advanced AI/ML methods for game development through mentorship and documentation, and contribute to team health through cross-disciplinary collaboration; level up developers across discipline

Required Qualifications:

• Bachelor’s degree or higher in Computer Science, Machine Learning, Statistics, or a related quantitative field, or equivalent practical experience
• 6+ years of experience delivering ML systems in production, including 3+ years in applied modeling or ML research roles
• Evidence that your modeling choices have been adopted beyond your immediate team - whether through reusable patterns, shared architectures, or influence on how others approach problems
• History of working with complex or unconventional data sources where off-the-shelf feature engineering doesn’t apply
• Experience in production environments with interacting models, feedback loops, or systems where model behavior has downstream consequences beyond a single prediction
• Comfort with ambiguity - you’ve shipped in situations where the success metric, the right approach, or both were unclear at the start.
• Track record mentoring engineers across roles and levels; evidence of raising the bar for people around you.
• Strong written and verbal communication skills across technical and non-technical audiences
• Passion for player experience, games, or creative technology
• Proficiency in C++

Desired Qualifications:

• Background in reinforcement learning, imitation learning, generative models, or simulation-based training in interactive environments
• Familiarity with ML platform components (model serving, feature stores, ML observability)
• Experience working in a AAA game engine (i.e. Unreal)
• Experience building multiplayer games
• Experience implementing tools for game designers and/or artists
• Experience mentoring technical ICs and contributing to engineering culture

For this role, you'll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes the delight of players. We will be looking at your past studies, experience, and your personal relationship with games. If you embody player empathy and care about players' experiences, this could be your role!

Our Perks:

Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules. We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and a 401k with company match. Check out our benefits pages for more information.

At Riot Games, we put players first. That mission drives every decision in our quest to create games and experiences that make it better to be a player. Whether you’re working directly on a new player-facing experience or you’re supporting the company as a whole, everyone at Riot is part of our mission. And just like in our games, we’re better when we work together. Our goal is to create collaborative teams where you are empowered to bring your unique perspective everyday. If that sounds like the kind of place you want to work, we’re looking forward to your application.

It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act.

Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories:

• Safeguarding confidential and sensitive Company data
• Communication with others, including Rioters and third parties such as vendors, and/or players, including minors
• Accessing Company assets, secure digital systems, and networks
• Ensuring a safe interactive environment for players and other Rioters

These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security. 

Role Overview

We’re looking for a forward-thinking Creative Director who blends strong conceptual leadership with deep familiarity in AI-powered creative tools and workflows. This role will lead the development of breakthrough campaigns while embedding generative AI and automation into the creative process to improve speed, craft, and innovation.

The ideal candidate is a world-class creative – both a storyteller and a systems thinker — someone who can inspire teams creatively while also plugging in AI-driven opportunities, both creatively and in production. This role is both strategic and hands-on, with an expectation to actively contribute to concepting and AI-enabled creative development

*** This is a 3–6 month contract role with potential to extend or convert to a full-time position, depending on business needs and performance.

Key Responsibilities

Creative Leadership

• Lead concept development and execution across integrated campaigns (film, digital, social, experiential, and emerging platforms).
• Set the creative vision
• Provide hands-on creative direction, feedback, and mentorship to creatives.
• Ensure all work meets the highest standards of craft, originality, and brand alignment.
• Present and sell creative work confidently and clearly

AI Integration & Innovation

• Champion the strategic use of AI tools across the creative lifecycle (ideation, design, production, personalization, and optimization).
• Evaluate and implement emerging generative tools 
• Stay ahead of industry trends in AI, automation, and creative technology.

Campaign Development & Execution

• Oversee projects from brief through final delivery, ensuring cohesion across channels.
• Collaborate closely with strategy to translate insights into compelling creative.
• Ensure AI-generated work maintains brand safety, legal compliance, and quality control.
• Balance rapid AI-enabled iteration with strong human creative judgment.

Team & Process Leadership

• Mentor and upskill creative teams
• Foster a culture of experimentation, curiosity, and responsible innovation.
• Improve creative operations by identifying opportunities for automation and workflow optimization.

Required Qualifications

• 8+ years of experience in an advertising agency or creative studio environment.
• Proven track record leading award-worthy integrated campaigns.
• Demonstrated hands-on experience with generative AI tools 
• Strong portfolio showcasing conceptual thinking and craft.
• Experience managing and mentoring multidisciplinary creative teams.
• Excellent presentation and client-facing skills.
• Deep understanding of brand storytelling across channels.

Preferred Qualifications

• Experience building/scaling AI-assisted creative
• Familiarity with tools such as Midjourney, Runway, Adobe Firefly, ChatGPT, or similar platforms.
• Understanding of prompt engineering and AI content governance
• Experience with rapid content production, dynamic creative at scale
• Interest in emerging media (AR/VR, real-time content, synthetic production)

Key Traits

• Conceptually bold and strategically grounded
• Curious about new technologies and creative possibilities
• Comfortable operating in fast, evolving environments
• Highly collaborative and team-oriented
• Strong creative judgment — knows when AI helps and when human craft 
• Proactive problem-solver with a builder mindset

Success in This Role Looks Like

• AI is meaningfully embedded into creative 
• Teams produce more high-quality work, faster
• Campaigns break through culturally and creatively
• Clients see the agency as an innovation partner
• The creative department grows more fluent and confident in AI

At Monks, we believe in fostering an environment where a diversity of perspectives can thrive. We proactively work to design hiring processes that promote equity and inclusion while mitigating bias. We celebrate diversity and are committed to building a team that reflects the communities we serve. We welcome and encourage qualified applicants, from all backgrounds, who are excited to contribute to our mission.  

Monks is committed to ensuring equal access and participation for people with disabilities. We are committed to treating people with disabilities in a way that allows them to maintain their dignity and independence. We believe in integration, and we are committed to meeting the needs of people with disabilities in a timely manner. We will do so by removing and preventing barriers to accessibility and by meeting our accessibility requirements under local accessibility laws.

#LI-HYBRID

#LI-ZZ1

About the Role

We are makers. We create because we are curious, and we believe that the best way to prove an idea works is to make it real.

As the Creative Director, Interactive & Retail Experiences, you are the architect of the "magic moment"—that split second when a user touches a device and understands exactly why they need it. Reporting to the GCD of Emerging Experiences, you will own the digital manifestation of Google hardware and software in the physical world.

Your domain is the screen, but your context is the store. You will lead the creation of world-class interactive demos for global retail environments (Google Store, Best Buy, etc.) and event activations. You are a hybrid creative leader: part UX architect, part product designer, and part storyteller, capable of translating complex AI features into intuitive, playful, and "Google Grade" interactions.

Responsibilities:

Interactive Mastery & Product Storytelling

• Own the Demo: Lead the conceptualization and execution of on-device demos for new product launches (Pixel, Nest, Fitbit). You will turn technical specs into "show, don't tell" experiences that prove the product’s value instantly.
• Retail Pragmatism: Balance "big vision" creative thinking with the realities of the retail environment. Design experiences that are robust enough for thousands of interactions yet simple enough to engage a shopper in seconds.
• UX/UI Leadership: Direct teams of interactive designers, motion designers, and creative technologists. Ensure every swipe, tap, and transition meets the highest standards of craft and usability.

Strategic Innovation & Client Partnership

• Partner with Product: Collaborate deeply with Google’s hardware and retail marketing teams. You must be comfortable navigating complex stakeholder maps (Marketing, Product, Brand) to align creative vision with product roadmaps.
• Push the Possible: Challenge the status quo of "attract loops" and "feature lists." Innovate how we showcase AI and software features in ways that feel magical, not mechanical.
• Present with Authority: Lead client presentations with clarity and conviction. You are the expert in the room, guiding clients from the "what" to the "how".

AI & Future Workflows

AI Optimist: Embrace AI tools to supercharge your team’s workflow—from rapid UI prototyping to generative content creation. You don't just design for AI products; you design with AI tools.

About You

The essentials:

• Experience: 10+ years of creative experience with a focus on digital, interactive, or product design. At least 3+ years in a leadership role managing multidisciplinary teams.
• Deep UX/UI Fluency: You have a portfolio that demonstrates deep expertise in user experience and interface design. Product design experience is a significant plus.
• Retail/Tech Pedigree: Experience working with major tech clients or launching products in retail environments is highly preferred. You understand the "shopper journey" and how to interrupt it.
• Maker Mindset: You are hands-on. You can jump into Figma or Principle when needed, not just to fix, but to demonstrate an idea.
• Tech-Savvy: A strong understanding of hardware capabilities, software constraints, and the opportunities within the Android ecosystem.

Key Performance Indicators (KPIs)

• Innovation: Successfully launching new demo formats that increase dwell time and engagement in retail.
• Craft Quality: delivering work that is recognized internally and externally as "Google Grade"—clear, human, and useful.

Client Trust: Becoming the "first call" for client partners when facing a new product launch challenge.

At Monks, we believe in fostering an environment where a diversity of perspectives can thrive. We proactively work to design hiring processes that promote equity and inclusion while mitigating bias. We celebrate diversity and are committed to building a team that reflects the communities we serve. We welcome and encourage qualified applicants, from all backgrounds, who are excited to contribute to our mission.  

This role is subject to our Return to Office (RTO) policy. If you reside within a commutable distance of one of our office locations, you will be expected to work from the office a set number of days per week. The specific details, including the number of required office days, will be in accordance with the company’s then-current RTO policy, which is subject to change from time to time.

#LI-KW1

#LI-Hybrid

About the Role

We are makers. We create because we are curious, and we believe that the best way to prove an idea works is to make it real.

As the Creative Director, Interactive & Retail Experiences, you are the architect of the "magic moment"—that split second when a user touches a device and understands exactly why they need it. Reporting to the GCD of Emerging Experiences, you will own the digital manifestation of Google hardware and software in the physical world.

Your domain is the screen, but your context is the store. You will lead the creation of world-class interactive demos for global retail environments (Google Store, Best Buy, etc.) and event activations. You are a hybrid creative leader: part UX architect, part product designer, and part storyteller, capable of translating complex AI features into intuitive, playful, and "Google Grade" interactions.

Responsibilities:

Interactive Mastery & Product Storytelling

• Own the Demo: Lead the conceptualization and execution of on-device demos for new product launches (Pixel, Nest, Fitbit). You will turn technical specs into "show, don't tell" experiences that prove the product’s value instantly.
• Retail Pragmatism: Balance "big vision" creative thinking with the realities of the retail environment. Design experiences that are robust enough for thousands of interactions yet simple enough to engage a shopper in seconds.
• UX/UI Leadership: Direct teams of interactive designers, motion designers, and creative technologists. Ensure every swipe, tap, and transition meets the highest standards of craft and usability.

Strategic Innovation & Client Partnership

• Partner with Product: Collaborate deeply with Google’s hardware and retail marketing teams. You must be comfortable navigating complex stakeholder maps (Marketing, Product, Brand) to align creative vision with product roadmaps.
• Push the Possible: Challenge the status quo of "attract loops" and "feature lists." Innovate how we showcase AI and software features in ways that feel magical, not mechanical.
• Present with Authority: Lead client presentations with clarity and conviction. You are the expert in the room, guiding clients from the "what" to the "how".

AI & Future Workflows

AI Optimist: Embrace AI tools to supercharge your team’s workflow—from rapid UI prototyping to generative content creation. You don't just design for AI products; you design with AI tools.

About You

The essentials:

• Experience: 10+ years of creative experience with a focus on digital, interactive, or product design. At least 3+ years in a leadership role managing multidisciplinary teams.
• Deep UX/UI Fluency: You have a portfolio that demonstrates deep expertise in user experience and interface design. Product design experience is a significant plus.
• Retail/Tech Pedigree: Experience working with major tech clients or launching products in retail environments is highly preferred. You understand the "shopper journey" and how to interrupt it.
• Maker Mindset: You are hands-on. You can jump into Figma or Principle when needed, not just to fix, but to demonstrate an idea.
• Tech-Savvy: A strong understanding of hardware capabilities, software constraints, and the opportunities within the Android ecosystem.

Key Performance Indicators (KPIs)

• Innovation: Successfully launching new demo formats that increase dwell time and engagement in retail.
• Craft Quality: delivering work that is recognized internally and externally as "Google Grade"—clear, human, and useful.

Client Trust: Becoming the "first call" for client partners when facing a new product launch challenge.

At Monks, we believe in fostering an environment where a diversity of perspectives can thrive. We proactively work to design hiring processes that promote equity and inclusion while mitigating bias. We celebrate diversity and are committed to building a team that reflects the communities we serve. We welcome and encourage qualified applicants, from all backgrounds, who are excited to contribute to our mission.  

This role is subject to our Return to Office (RTO) policy. If you reside within a commutable distance of one of our office locations, you will be expected to work from the office a set number of days per week. The specific details, including the number of required office days, will be in accordance with the company’s then-current RTO policy, which is subject to change from time to time.

#LI-KW1

#LI-Hybrid

About the Role

We are makers. We create because we are curious, and we believe that the best way to prove an idea works is to make it real.

As the Creative Director, Interactive & Retail Experiences, you are the architect of the "magic moment"—that split second when a user touches a device and understands exactly why they need it. Reporting to the GCD of Emerging Experiences, you will own the digital manifestation of Google hardware and software in the physical world.

Your domain is the screen, but your context is the store. You will lead the creation of world-class interactive demos for global retail environments (Google Store, Best Buy, etc.) and event activations. You are a hybrid creative leader: part UX architect, part product designer, and part storyteller, capable of translating complex AI features into intuitive, playful, and "Google Grade" interactions.

Responsibilities:

Interactive Mastery & Product Storytelling

• Own the Demo: Lead the conceptualization and execution of on-device demos for new product launches (Pixel, Nest, Fitbit). You will turn technical specs into "show, don't tell" experiences that prove the product’s value instantly.
• Retail Pragmatism: Balance "big vision" creative thinking with the realities of the retail environment. Design experiences that are robust enough for thousands of interactions yet simple enough to engage a shopper in seconds.
• UX/UI Leadership: Direct teams of interactive designers, motion designers, and creative technologists. Ensure every swipe, tap, and transition meets the highest standards of craft and usability.

Strategic Innovation & Client Partnership

• Partner with Product: Collaborate deeply with Google’s hardware and retail marketing teams. You must be comfortable navigating complex stakeholder maps (Marketing, Product, Brand) to align creative vision with product roadmaps.
• Push the Possible: Challenge the status quo of "attract loops" and "feature lists." Innovate how we showcase AI and software features in ways that feel magical, not mechanical.
• Present with Authority: Lead client presentations with clarity and conviction. You are the expert in the room, guiding clients from the "what" to the "how".

AI & Future Workflows

AI Optimist: Embrace AI tools to supercharge your team’s workflow—from rapid UI prototyping to generative content creation. You don't just design for AI products; you design with AI tools.

About You

The essentials:

• Experience: 10+ years of creative experience with a focus on digital, interactive, or product design. At least 3+ years in a leadership role managing multidisciplinary teams.
• Deep UX/UI Fluency: You have a portfolio that demonstrates deep expertise in user experience and interface design. Product design experience is a significant plus.
• Retail/Tech Pedigree: Experience working with major tech clients or launching products in retail environments is highly preferred. You understand the "shopper journey" and how to interrupt it.
• Maker Mindset: You are hands-on. You can jump into Figma or Principle when needed, not just to fix, but to demonstrate an idea.
• Tech-Savvy: A strong understanding of hardware capabilities, software constraints, and the opportunities within the Android ecosystem.

Key Performance Indicators (KPIs)

• Innovation: Successfully launching new demo formats that increase dwell time and engagement in retail.
• Craft Quality: delivering work that is recognized internally and externally as "Google Grade"—clear, human, and useful.

Client Trust: Becoming the "first call" for client partners when facing a new product launch challenge.

At Monks, we believe in fostering an environment where a diversity of perspectives can thrive. We proactively work to design hiring processes that promote equity and inclusion while mitigating bias. We celebrate diversity and are committed to building a team that reflects the communities we serve. We welcome and encourage qualified applicants, from all backgrounds, who are excited to contribute to our mission.  

This role is subject to our Return to Office (RTO) policy. If you reside within a commutable distance of one of our office locations, you will be expected to work from the office a set number of days per week. The specific details, including the number of required office days, will be in accordance with the company’s then-current RTO policy, which is subject to change from time to time.

#LI-KW1

#LI-Hybrid

Riot engineers bring deep knowledge of specific technical areas but also value the opportunity to work in a variety of broader domains.  We work with both new and current technology, creating innovative solutions to solve complex, large-scale challenges and deliver player value.  As a Principal Software Engineer, you’ll lead the development of key features and model high standards of engineering excellence. 

As a Principal Software Engineer on Riot’s AI Enablement team, you are a technical force multiplier. You will embed directly with any team at Riot to accelerate their adoption of modern AI development (e.g., generative AI, LLMs, reinforcement learning). Operating as part of an elite, highly mobile strike team, you will build production-ready AI integrations, develop robust developer tools, and level up partner engineers through side-by-side collaboration. Once a team is empowered and systems are successfully handed off, you will deploy to the next challenge. You will be at the forefront of cutting-edge AI in the game industry, bridging the gap between new technologies and live environments to shape how Riot develops products and games. You will be accountable to Riot’s Head of AI Product.

Responsibilities:

• Implement and Integrate: Lead the technical execution of integrating modern AI practices into existing engines, tools, and pipelines.
• Embed and Accelerate: Deploy onto partner teams across Riot to break down complex AI implementation problems, establish technical direction, and deliver scalable, highly performant solutions.
• Mentorship and Handoff: Train and coach embedded team engineers through pair programming, technical reviews, and hands-on collaboration. Ensure a seamless transition of code ownership before deploying to your next assignment.
• Evangelize Best Practices: Share engineering best practices, security guardrails, and performance standards for AI usage across Riot’s development ecosystem.
• Build Foundations: Identify when industry-standard tools are insufficient and develop new foundations, middleware, or APIs to connect AI research with practical development.
• Manage Ambiguity: Actively navigate highly complex, uncharted technical spaces, communicating trade-offs and building consensus among engineering and product leadership.

Required Qualifications:

• BS in Computer Science (or equivalent experience) with 8-12 years of software engineering experience.
• Extensive experience with systems integration, technical leadership, and early-stage software development.
• Deep programming proficiency in C++ and at least one other language (e.g., Python, C#).
• Shipped at least one AAA game or large-scale, high-concurrency live service product.
• Proven track record of managing high ambiguity, setting technical strategy, and leading multi-month/year initiatives.
• Practical experience utilizing, integrating, or building modern AI tools, APIs, or infrastructure.

Desired Qualifications:

• Experience extending or developing within Unreal Engine (C++).
• Familiarity with ML frameworks (e.g., PyTorch, TensorFlow) or LLM orchestration.
• Background working on shared engine technology, central tools, or platform engineering teams.
• Familiarity with the Runeterra and VALORANT IPs.

For this role, you'll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes the delight of players. We will be looking at your past studies, experience, and your personal relationship with games. If you embody player empathy and care about players' experiences, this could be your role!

Our Perks:

Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules. We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and a 401k with company match. Check out our benefits pages for more information.

At Riot Games, we put players first. That mission drives every decision in our quest to create games and experiences that make it better to be a player. Whether you’re working directly on a new player-facing experience or you’re supporting the company as a whole, everyone at Riot is part of our mission. And just like in our games, we’re better when we work together. Our goal is to create collaborative teams where you are empowered to bring your unique perspective everyday. If that sounds like the kind of place you want to work, we’re looking forward to your application.

It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act.

Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories:

• Safeguarding confidential and sensitive Company data
• Communication with others, including Rioters and third parties such as vendors, and/or players, including minors
• Accessing Company assets, secure digital systems, and networks
• Ensuring a safe interactive environment for players and other Rioters

These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security. 

About the Role: 

This role is part of our Maker Program, an 18-month rotational experience designed for early-career talent looking to build foundational skills across marketing, creative, and consumer-facing functions.

As a Social Creative Maker, you'll be a hands-on creative embed who moves at the speed of culture. You'll produce fast-turn fan edits, memes, and reactive content that tap into what audiences are already obsessing over and connect it back to Tubi in a way that feels native, relevant, and worth engaging with. You’ll also help the team test and learn how Tubi shows up within specific fandom communities, experimenting with tone, formats, and platforms to better understand what resonates with niche audiences.

This is a role for someone who is terminally online in the best way possible: fluent in social formats, deeply tuned into emerging creative trends, and quick enough to capitalize on a moment before it passes.

You’ll work closely with the Social team to increase creative output, experiment with new formats, and help Tubi show up in culture in a way that feels fresh and distinct.

What You'll Do: 

• Experiment with new social formats, niche audience plays, or handles through fast-turn creative assets including fan cams, memes, reactive clips, and social graphics 
• Develop and test content tailored to specific fandoms or niche audience segments, with a focus on learning what drives engagement
• Collaborate with Social and Brand teams to align reactive and experimental content with broader campaigns and priorities 
• Explore and trial emerging tools and workflows that can increase creative production speed and efficiency
• Maintain high output without sacrificing quality or brand consistency

What You'll Learn: 

• How to create impactful and effective social content quickly
• How entertainment brands show up in culture through fan-first content
• How to collaborate across creative and marketing teams
• How social content drives engagement and brand affinity at scale

Who You Are: 

• Up to three years of combined professional experience, including internships
• A creator who lives on social and has a sharp instinct for what works on each platform 
• Fluent in current social trends, meme formats, and fan culture 
• Quick hands: you can take an idea from concept to finished asset fast 
• Comfortable with ambiguity and energized by a fast-moving, reactive environment
• Strong eye for design and storytelling even in short-form formats 
• Genuine enthusiasm for TV, film, and streaming culture

Nice to Have: 

• Experience with video editing tools (CapCut, Premiere, After Effects, or similar)
• Graphic design skills (Canva, Figma, Photoshop, or similar) 
• A personal portfolio, fan account, or content channel that shows your range
• Exposure to AI tools for creative production (generative video, image, or editing tools)

Why This Role Matters: 

Culture moves fast and Tubi needs to move with it. This role is about showing up in the moments that matter, connecting our content to what fans are already passionate about, and doing it with a creative edge that makes people stop scrolling. The right person in this role helps the team not only move at the speed of culture, but understand how to show up meaningfully within the communities that drive it. By testing content across specific fandoms and audience segments, this role will help Tubi build deeper cultural relevance and authority over time.

Program Eligibility Requirements:

• Application Deadline: May 15, 2026
• Program Timeline: Minimum 18-month commitment, starting Aug 2026, after which successful participants will transition into non-rotational full-time roles
• Work Schedule: Full-time, hybrid in Los Angeles with office day requirements. Relocation assistance will not be provided.
• Work Authorization: Must have U.S. work authorization; we are unable to sponsor visas for this program
• Committed and available to work for the entire 18-month length of the program

• Navigate diverse marketing and creator functions by rotating through different teams to see how an idea moves from a concept to consumer.
• Build a toolkit of skills through direct participation in real-time projects and team-based assignments, with a particular focus on building with AI tools.
• Expand your professional network by collaborating with mentors and peers across the organization to better understand Tubi’s unique brand culture.

#LI-SY1

#LI-Hybrid 

The Senior Solutions Engineer Opportunity

Reporting to the Senior Manager of Solutions Engineers, the Sr Solutions Engineer (Corporate New Business) is a functional business consultant,  with a passion for technology and the advanced ability to develop, position and demonstrate product-specific solutions during sales cycles, while achieving quarterly and annual sales goals for an assigned territory. A background in software development and experience with developer-centric identity platforms (such as Auth0) can be particularly impactful, enabling you to deeply understand and articulate the value of Auth0 by Okta from a technical implementer's perspective.

What you’ll be doing 

• Work alongside the Corporate/New Business (employee size 300-1249) sales team as the technical and domain expert of a customer-facing sales team to help Customers understand the value of Okta’s solutions
• Understand customer challenges and business issues especially those faced by development and product teams - and provide product demonstrations to align our solutions with customer needs.
• Answer product features and technical questions from customers, partners and Okta colleagues.
• Plan and deliver Proof Of Concepts for customers who have more complex use cases, collaborating with other Okta engineering teams as needed. This will include scripting and coding to showcase Auth0’s capabilities.
• Provide feedback to product management about product enhancements that can address customer needs and provide additional value.
• Share and learn best practices and re-usable assets with other Solutions Engineers to enhance the quality and efficiency of the team.
• Stay current on competitive analysis and market differentiation.
• Support marketing events including executive briefings, conferences, user groups, and trade shows.
• At times, be asked to learn and lead your team as a subject matter expert (SME) with various product solutions and/or competitive knowledge.

What you’ll bring to the role

• 8+ years pre-sales engineering experience.
• A passion to serve the Customer, demonstrated in a customer-facing role, such as consulting or support, but ideally in a pre-sales capacity.
• An ability to quickly communicate complex ideas around a technical topic, ideally on the fly, using a whiteboard.
• Deployed apps in cloud platforms: AWS, Azure, GCP, Vercel, etc.
• Experience with at least one standard network security protocol. (eg. OAuth, OAuth2, SAML, LDAP)
• Experience working with REST APIs, API Gateways, and SDKs
• Hands-on experience in one or more of the following areas: web (JavaScript, HTML, frontend frameworks) development, mobile (iOS, Android) development, backend (Java, C#, Node.js, Python, PHP, Ruby) development, IP-based real-time communications.
• Leverage your software development background to effectively communicate with technical audiences, including developers, architects, and DevOps engineers, translating their requirements into robust solutions.
• An understanding of core security concerns within a typical application. (password hashing, SSL/TLS, encryption at rest, XSS, XSRF)
• Exceptional communicator.
• Confident dispensing knowledge to a highly skilled and experienced audience, presenting to large rooms filled with experts in the field
• Territory management skills, including pipeline building and working with Sales counterparts to guide execution excellence.
• Typically 25% travel.
• Bachelor's degree in Engineering, Computer Science, MIS or a comparable field is preferred.

You might also have (not mandatory):

• Hands-on experience with Generative AI or LLM technology such as LangChain, GenKit, LlamaIndex, etc.
• Experience integrating with microservices, data lakes, or customer data platforms.
• Developed ReBAC or Fine Grain Authorization models.
• Diagramming experience for user journey flows, complex architecture diagrams, etc.

Preferred Experience (bonus points):

• Trusted Advisor in your sales region (Area Sales Director and Area Vice President)
• Experience leading highly strategic technical sales plays, targeting new account acquisitions, or transferrable experiences preferred.
• Creation of reusable artifacts to be adopted by the presales and/or sales community.
• Publication of thought leadership documentation externally annually.
• Technical leader among peers and a mentor to help grow others in the segment.

LI#Remote

LI#CM

P7161_3396398

What you'll be doing:

Client Partnership & Implementation

• Own and manage an enterprise client portfolio as primary technical advisor
• Deliver seamless implementations from kickoff through go-live, coordinating internal teams and ensuring timely deployment
• Develop deep knowledge of each client's goals and translate them into actionable plans with measurable results
• Engage clients regularly via Zoom, email, phone, and on-site visits to strengthen relationships and ensure alignment

Adoption & Value Realization

• Drive product adoption with measurable improvements in usage metrics and client health scores
• Conduct technical assessments of API implementations and lead quarterly optimization sessions
• Guide clients on product integrations and troubleshooting in collaboration with Implementation Engineer and Support
• Serve as the first technical point of contact for enterprise clients during implementation and post–go-live, owning technical triage and driving resolution with Implementation and Support.
• Educate clients on best practices to maximize value from Symmetry's solutions

Client Health & Retention

• Monitor client health scores, usage metrics, and interaction to identify risks early and implement mitigation plans
• Provide prompt, professional responses to inquiries ensuring fast resolution and strong confidence
• Support renewal readiness and risk mitigation in partnership with Account Manager

Operational Excellence

• Identify process improvements that reduce implementation time and increase team capacity
• Leverage AI tools and automation to streamline reporting, communication, and coordination
• Maintain thorough documentation in CRM and ticketing systems
• Collaborate with Sales, Product, Engineering, and Support to address issues and drive continuous improvement

Experience & Requirements:

Required Background:

• Bachelor's degree or equivalent combination of education and experience
• 5+ years in Client Success, Account Management, or Implementation Management in B2B SaaS
• Proven track record managing enterprise portfolios and guiding retention, adoption, and satisfaction
• Experience project managing complex software implementations from kickoff through go-live
• Technical aptitude to understand API/SDK integrations, conduct assessments, and troubleshoot issues
• Track record leveraging data and metrics to drive client outcomes and operational efficiency
• Experience in payroll, HR tech, or compliance technology strongly preferred

Core Skills & Attributes:

• Proven technical acumen with ability to translate capabilities into business value
• Extraordinary relationship-building skills to advise enterprise stakeholders on technical and business outcomes
• Outstanding communication skills with ability to simplify complex technical concepts
• Proactive, ownership-driven mindset with accountability for results
• Keen analytical and critical thinking with comfort in qualitative and quantitative analysis
• Great organizational and project management skills managing multiple priorities
• Client-first orientation committed to delivering measurable value
• Collaborative team player thriving in cross-functional partnerships
• Demonstrated ability to leverage AI and automation for efficiency
• Continuous learning mindset staying current on product innovations

Technology Experience:

• Comprehension of API/SDK architecture, RESTful APIs, and integration concepts
• Ability to read API documentation and guide clients through technical implementation
• Experience with API testing tools (Postman or similar) for client troubleshooting
• Proficiency with CRM systems (NetSuite, Salesforce, or comparable)
• Experience with customer success platforms (Catalyst, Gainsight, ChurnZero, or similar)
• Working knowledge of project management and ticketing systems (Jira, Asana, Zendesk, or comparable)
• Proficiency with Google Workspace (Slides and Sheets including formulas and data analysis)
• Experience with virtual meeting platforms (Zoom, Microsoft Teams, or similar)
• Experience with generative AI tools (ChatGPT, Gemini, or comparable) and building AI agents
• Project management certification (PMP, CAPM, Google Project Management) is a plus
• API fundamentals certification (Postman Student Expert or equivalent) is a plus

Compensation Details

Our cash compensation amount for this role is targeted at $121,000/yr- $149,000/yr in Scottsdale. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above. 

Company Information
For more than 20 years, AEG has played a pivotal role in transforming sports and live entertainment. Annually, we host more than 160 million guests, promote more than 10,000 shows and present more than 22,000 events around the world. We are committed to innovation, artistry, and community, and leverage the power of our 300+ venues, leading sports franchises, marquee music brands, integrated entertainment districts, premier ticketing platform and global sponsorship activations, to create memorable moments that give the world reason to cheer.

Our business is interwoven with the human mind and heart, and we strive to build a diverse and inclusive company that reflects the artists, athletes, and fans that we host; reach beyond traditional boundaries to support the communities in which we operate; and minimize our impact on the environment by adopting sustainable practices throughout our business operations.

If you want to be challenged to up your game and make a difference, then join us in giving the world reason to cheer!

Job Summary

The Vice President Engineering leads the organization responsible for building, operating, and scaling the digital platforms that power the company's global ecommerce, fan engagement, and data ecosystem. Reporting to the SVP of Engineering, this leader oversees an engineering organization of approximately 100 professionals across DevOps, platform infrastructure, product engineering, and data engineering, ensuring reliable delivery of high-volume commerce and real-time digital experiences. The role partners closely with Product and Technology leadership to deliver secure, resilient, and scalable platforms capable of supporting millions of users and mission-critical business operations. Success requires deep technical credibility and strong organizational leadership to establish engineering best practices, scale cloud infrastructure, and maintain operational excellence across complex systems.

Essential Functions

• Lead and develop a 100+ person engineering organization spanning product engineering, platform engineering, DevOps, and data engineering while building and mentoring engineering leaders and fostering a culture of ownership, accountability, and technical excellence. Scale hiring, organizational design, and leadership development to support rapid platform growth and ensure the engineering organization can effectively support expanding digital products and infrastructure.
• Partner closely with Product leadership to design and deliver custom-built platforms aligned to product strategy and roadmap commitments while ensuring engineering teams deliver scalable systems capable of supporting high-traffic digital experiences and commerce platforms. Drive engineering execution across multiple concurrent initiatives and cross-functional product teams to ensure timely, high-quality platform delivery.
• Oversee engineering including cloud architecture, CI/CD pipelines, and system reliability while leading platform architecture and data engineering initiatives that enable scalable data pipelines and analytics capabilities. Establish engineering standards across multiple programming languages and frameworks to ensure maintainability, performance, and long-term platform stability.
• Ensure the security and resilience of ecommerce platforms by implementing strong cybersecurity practices, threat monitoring, and vulnerability management. Lead engineering processes that safeguard customer data and support compliance with evolving security and data protection standards.
• Establish and lead Incident Command Management (ICM) practices across engineering teams while building incident response playbooks, escalation protocols, and operational readiness frameworks. Drive continuous improvement in system reliability, uptime, and recovery performance for mission-critical platforms.
• Partner with executive leadership to evolve long-term engineering strategy and technology investments while managing engineering budgets, infrastructure planning, and key vendor partnerships. Ensure governance practices support long-term platform scalability, operational resilience, and responsible technology adoption.
• Team Development & Leadership: Build, mentor, and lead a high-performing DevOps team, promoting collaboration, accountability, and continuous learning

Required Qualifications

• BA/BS Degree (4-year) BA/BS Degree (4-year) (Advanced Degree Preferred) In Computer Science/MIS or equivalent work experience
• 10+ years as a technical leader of DevOps or Systems Administration teams.
• Proven experience in a senior leadership role with strategic responsibilities.
• Expertise in designing secure cloud services and infrastructure.
• Knowledge of CI/CD development and tools (Jenkins, Docker, Chef, etc.).
• Expertise with containers and Kubernetes.
• Working knowledge of both transactional and NoSQL databases.
• Strong strategic thinking and leadership skills.
• Exceptional communication and organizational skills.
• Systems Administration experience in both Windows and Linux environments.
• Strong financial acumen and experience with budget management.
• Proven experience in a senior leadership role with strategic responsibilities.
• Extensive experience with cloud platforms (Azure, AWS, GCP).
• Experience leveraging generative AI to improve engineering velocity, modernize workflows, and lead teams through the adoption of transformative development practices.
• Experience with large-scale, high availability, high demand consumer-facing SaaS web products.
• Experience with Agile development and CI/CD methodologies.
• Experience in the Live Events Industry preferred.
• CISSP Certified Information Systems Security Professional Preferred
• AWS Certified Solution Architect Preferred

Payscale: $217,119 - $300,000

Bonus: This position is eligible for a bonus under the current bonus plan requirements.

Benefits: Full-time: We offer a comprehensive benefits package that includes: medical, dental and vision insurance, paid holidays, vacation and sick time, company paid basic life insurance, voluntary life insurance, parental leave, 401k Plan (with a current employer match of 3%), flexible spending and health savings account options, and wellness offerings.

AEG reserves the right to change or modify the employee’s job description whether orally or in writing, at any time during the employment relationship.  AEG may require an employee to perform duties outside their normal description.

AEG's policy is to hire the most qualified applicants, and we comply with all applicable federal, state and local employment laws in making hiring and employee decisions.  We are an equal opportunity employer and do not discriminate against applicants or employees on the basis of race, color, marital status, disability, religion, age, sex, sexual orientation, national origin, genetic information, veteran status, or any other legally protected status recognized by applicable federal, state or local law.

Employer does not offer work visa sponsorship for this position.

⚡ POST-PRODUCTION BUILDER WANTED

Post-Production Automation Engineer

Build the systems that make our creative team superhuman.

📇 Role: Post-Production Automation Engineer

📍 Location: Los Angeles, CA (Remote-Friendly)

💰 Compensation: $120,000–$160,000

👤 Reports to: VP of Post-Production

🚀 About TubeScience

TubeScience is a data-driven creative studio producing performance advertising at massive scale — and we’re growing fast. We’re looking for a Post-Production Automation Engineer to be the most technically sophisticated person on our post team.

💡 The Role

This is a builder role — for someone genuinely excited about where AI and automation are taking Post-Production. You’ll own our automation and AI roadmap from day one, with the autonomy to identify problems and ship solutions without waiting to be asked. You are the product lead, the architect, and the builder — all in one.

🎬 What You’ll Own

🤖 Automation & AI Engineering

Architect end-to-end automation across ingest, QC, editing, delivery, and archival

Deploy LLMs, generative video platforms, and intelligent metadata/tagging systems

Design agent-based workflows that eliminate manual effort

Evaluate emerging AI tooling and own build-vs-buy decisions

🏗️ Systems Architecture & Integration

Own our Iconik MAM: custom actions, metadata schemas, transcoding, and API integrations

Build REST API and webhook integrations across post tools and third-party platforms

Develop automation pipelines in n8n, Make, or Zapier — or go custom in Python/JS

Design for resilience: logging, error handling, alerting, and monitoring

💻 Scripting & Tool Development

Write production-grade Python and JS/Node.js scripts across Adobe Creative Suite

Build internal tools that give editors superpowers without exposing the complexity

Build and maintain Adobe CEP/UXP panels inside the tools editors already use

🔬 R&D & Proactive Improvement

Audit the post pipeline for bottlenecks before the team surfaces them

Prototype emerging tech — AI, ML, new codecs, cloud-native media workflows

Own the Post-Production tooling roadmap with minimal oversight

🤝 Collaboration & Documentation

Translate Post-Production creative needs into precise technical requirements

Align with core engineering on infrastructure, deployment, and architecture

Document every system thoroughly so the team can run it confidently

Serve as final escalation for complex technical issues the post team can’t resolve

🧬 What We’re Looking For

4–6+ years in post-production engineering or workflow automation — high-volume advertising or broadcast preferred

Strong Python and/or JavaScript/Node.js — clean, production-grade code

Proven REST API integration experience with solid edge-case handling

Expert-level Iconik MAM experience strongly preferred

Hands-on with LLMs, generative AI, and orchestration tools (n8n, Make, Zapier or equivalent)

Deep fluency in codecs, containers, color pipelines, and shared storage (e.g. LucidLink)

Adobe Creative Suite scripting experience — CEP/UXP panel dev a strong plus

Working knowledge of AWS or Google Cloud and cloud-native media workflows

Genuine passion for post-production and excitement about transforming it with technology

➕ Bonus Points

Experience with AI video generation tools (Runway, Veo, Sora) in production

Background in high-volume performance advertising or broadcast

Multi-step agentic pipeline design or large-scale workflow orchestration

Open-source contributions in the media/post-production space

Experience with data pipelines or BI tooling connected to production metadata

✨ Benefits

🩺 Health, Vision & Dental coverage

🧳 Unlimited PTO

💰 401(k) + Matching

💗 Life Insurance

🤒 Paid Sick Days

👶 Paid Parental Leave

About this position:

We’re looking for a Machine Learning Infrastructure Engineer to join our growing Data & Platform team and build the foundation that powers our AI and machine learning capabilities across Later’s product portfolio. As our first dedicated ML Infrastructure Engineer, you will own the systems that support model experimentation, training, deployment, and monitoring at scale.

This role is critical to accelerating our data science initiatives and enabling future AI innovation. You’ll design and operate reliable, secure, and scalable ML infrastructure that empowers data scientists and engineers to ship high-impact models with confidence. If you’re excited about building robust ML systems in a fast-moving environment—and want to define the standard for ML Ops at Later—this is your opportunity.

What you'll be doing:

Strategy

• Define and own the long-term ML infrastructure roadmap, ensuring it supports both current experimentation needs and future AI initiatives.
• Establish best practices for model lifecycle management, deployment standards, monitoring, and governance. 
• Identify infrastructure gaps and proactively design scalable solutions to enable high-velocity ML development.
• Contribute to cross-functional technical planning, ensuring ML systems align with product and platform strategy.

Technical/ Execution

• Design, build, and maintain production-grade model deployment and inference systems using CI/CD pipelines, containerized services (Docker), and API frameworks (e.g., Flask).
• Automate end-to-end ML lifecycle workflows including training pipelines, model validation, registry management, deployment, and rollback strategies.
• Implement robust monitoring systems for model performance, latency, drift detection, and infrastructure health using tools such as CloudWatch, Prometheus, and Grafana.
• Operate across AWS and GCP environments to manage training and inference workloads, including GPU-based infrastructure and BigQuery datasets.
• Develop and maintain infrastructure-as-code (Terraform, CloudFormation) to ensure scalable, repeatable, and secure cloud environments.
• Implement and optimize CI/CD workflows (e.g., GitHub Actions, GitLab CI, Bitbucket Pipelines) for ML and infrastructure automation.

Team / Collaboration

• Partner closely with Data Scientists, Analysts, Platform Engineers, and Product Engineers to support end-to-end ML workflows.
• Translate data science experimentation needs into production-ready infrastructure solutions.
• Serve as the technical bridge between ML experimentation and productized deployment.
• Share knowledge and best practices to elevate ML maturity across teams.

Research/Best Practices

• Stay current on emerging ML Ops practices, tools, and frameworks to continuously improve system reliability and efficiency.
• Evaluate and implement model-serving frameworks (e.g., TorchServe, Seldon, TensorRT) where appropriate.
• Contribute to governance, reproducibility, and auditability standards for ML systems.
• Experiment with new tooling and workflows to improve reproducibility, performance, and developer velocity.

What success looks like:

• ML models move from experimentation to production quickly and reliably, with minimal manual intervention.
• CI/CD pipelines enable safe, repeatable deployments with clear rollback strategies.
• Model performance, drift, and infrastructure health are proactively monitored and observable.
• Infrastructure supports scalable GPU training and real-time inference without bottlenecks.
• Data scientists report improved velocity, reproducibility, and confidence in deploying models.
• ML systems are secure, compliant, and aligned with evolving product and AI strategy.

What you bring:

• 4+ years of experience in ML Ops, ML infrastructure, backend engineering, or related roles supporting production ML systems.
• Experience working in cloud-native environments (AWS and/or GCP) with hands-on deployment of ML workloads.
• Proven track record designing and implementing CI/CD pipelines for ML systems.
• Strong experience with Amazon SageMaker, Docker, Flask-based APIs, and infrastructure automation tools.
• Hands-on experience with ML lifecycle tooling such as MLflow, SageMaker Studio, or Weights & Biases.
• Experience managing container orchestration platforms (Kubernetes, EKS, or GKE).
• Strong programming experience in Python (additional experience in Go, Java, or Scala is a plus).
• Experience working with infrastructure-as-code tools such as Terraform or CloudFormation.
• Familiarity with observability tools such as CloudWatch, Prometheus, Grafana, Datadog, or centralized logging platforms.
• Experience managing GPU-based workloads and scaling training/inference systems.
• Familiarity with data infrastructure tools such as BigQuery and cloud-native data pipelines.
• Bonus: Experience supporting LLMs or generative AI pipelines, distributed training systems, feature stores (e.g., Feast), real-time inference systems, or ML governance frameworks.
• A mindset focused on automation, reliability, performance, and continuous improvement in fast-scaling environments.

How you work: 

• Driven by Impact: You deliver results that matter—prioritizing high-value work, meeting deadlines, and adapting quickly while keeping outcomes clear.
• Strategic & Customer-Centric: You anticipate risks and opportunities, connect decisions to long-term growth, and build trust through proactive insights.
• Curious & Growth-Oriented: You seek knowledge, ask sharp questions, and apply learnings fast—challenging the status quo with a mindset of improvement.
• Collaborative & Resilient: You thrive in change by staying resourceful, solution-focused, and positive—removing roadblocks, sharing insights, and keeping morale high.
• Accountable & Honest: You own your work, hold yourself and others to a high bar, and use transparent feedback to drive growth.
• Emotionally Intelligent: You build trust through empathy and collaboration, foster inclusion, and inspire others with grit, optimism, and integrity.

Our approach to compensation:

We take a market-based & data-driven approach to compensation. We leverage data from trusted third-party compensation sources to help us understand the market value of a role based on function, level, geographic location, and scope. We evaluate compensation bi-annually, including performance and market-related factors.

Our salaries are benchmarked against market Total Cash Compensation for the geographic location of our job posting. Compensation for some roles is structured as On Target Earnings (OTE = base + commission/variable) while for others it is structured as Salary only.

To comply with local legislation and ensure transparency, we share salary ranges on all job postings. Skills, experience and other factors help determine the final salary we offer which may vary from the original range posted. 

Additionally, all permanent team members are eligible to participate in various benefits plans as part of their overall compensation package.

Salary Range: 

$ 145,000 -165,000 

#LI-remote

WHAT YOU’LL DO

THE DAY-TO-DAY

• Lead and Define AI Strategy – Set the vision for applied ML research and AI-driven decision-making across Viant’s products and services.
• Drive High-Impact Research – Conduct advanced research in NLP, RL, LLMs, and deep learning, publishing in top-tier conferences while applying findings to real-world production systems.
• Architect and Deploy ML at Scale – Develop, optimize, and deploy high-throughput, low-latency ML models, collaborating with engineers to bring solutions into production.
• Innovate in Generative AI & Causal ML – Explore novel AI techniques, such as LLMs, reinforcement learning, and causal inference, to enhance targeting, personalization, and attribution models.
• Experimentation and Validation – Design, run, and analyze A/B experiments to test ML-driven strategies, ensuring data-driven decision-making.
• Mentor and Influence – Provide technical leadership for a team of applied scientists and ML engineers, fostering a culture of innovation and excellence.

MUST HAVE

• Experience: 4+ years of experience building and deploying machine learning models at scale.
• Technical Leadership: Demonstrated ability to lead complex, high-ambiguity ML projects from research to production.
• Academic & Industry Recognition: Masters + At least two peer-reviewed publications in deep learning, NLP, or a related AI domain or a PhD in Computer Science, Machine Learning, Statistics, or a related quantitative field.
• Deep Expertise in ML & AI: Strong foundation in deep learning, NLP, generative AI, and causal inference.
• Programming & Frameworks: Proficiency in Python and deep learning frameworks (TensorFlow, PyTorch, LangChain, Llama Index).
• Scalability & Cloud: Experience with distributed computing, cloud ML platforms (AWS, GCP, or Azure), and real-time AI inference.

GREAT TO HAVE

• Industry Impact: Publications at top-tier ML/NLP conferences (NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL, AAAI).
• Ad Tech Expertise: Experience in digital advertising, real-time bidding, or audience modeling.
• Generative AI Applications: Hands-on experience with LLMs and multimodal AI applications.
• Optimization & Personalization: Strong background in reinforcement learning, dynamic pricing, or recommendation systems.

LIFE AT VIANT

Investing in our employee’s professional growth is important to us, but so is investing in their well-being. That’s why Viant was voted one of the best places to work and some of our favorite employee benefits include fully paid health insurance, paid parental leave and unlimited PTO and more. 

#LI-KW1

Summary:

As the Vice President, Ads Quality Engineering, you will spearhead our AIML engineering division, dedicated to leveraging data machine learning innovations, and the vanguard of AI to enhance Pinterest's ads delivery funnel. Possessing robust analytical skills, a deep understanding of machine learning and generative AI, online auction dynamics, and previous experience leading substantial engineering teams, you will push the boundaries of current AIML applications, multi-party marketplace behavior, and auction theory. Your efforts will be crucial in maximizing Pinterest's monetization opportunities.

This pivotal role grants you the autonomy to collaborate extensively across the organization, aligning interests and strategies among pinners, content creators, and advertisers in our distinct marketplace. Your leadership will be instrumental in shaping advanced ML solutions that not only define industry standards but also drive substantial business impact.

What you’ll do:

• Oversee a globally distributed  team of 200+ AI/ML engineers tasked with harnessing data-driven insights and developing solutions to bolster Pinterest’s monetization efforts.
• Provide both technical and organizational leadership to scale the team in response to evolving business demands.
• Manage and develop senior leadership within the team, including managers of managers and principal AI/ML experts, ensuring growth and continuous improvement at all levels.
• Partner closely with engineering and product leadership to shape and drive the execution of Pinterest's monetization strategy.
• Foster strong cross-functional (XFN) collaborations across multiple departments, including Sales, Business Operations, Data Engineering, and Core Services, to ensure cohesive efforts and optimal outcomes in monetization strategies.

What we’re looking for:

• An MSc or PhD degree in Economics, Statistics, Computer Science, or a related field.
• A minimum of 15 years of relevant industry experience, demonstrating a depth of technical proficiency and leadership.
• At least 10 years of experience in managerial roles, with a proven track record of effective team leadership and development.
• Exceptional cross-functional (XFN) collaboration skills and a strong capability in communication, crucial for liaising seamlessly across departments.
• A natural bridge-builder, skilled in fostering alignment and driving strategic initiatives within the engineering and product organization at Pinterest.
• Hands-on experience in designing and deploying large-scale machine learning systems, with a preference for those possessing specific expertise in the Advertising domain.
• Strong analytical abilities, underpinned by a solid foundation in mathematical and statistical models, enabling sophisticated problem-solving and innovation.

Relocation Statement:

•  This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

In-Office Requirement Statement

• We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
• This role will need to be in the office for in-person collaboration once or twice a week and therefore needs to be in a commutable distance from one of the following offices: Palo Alto, San Francisco, Seattle, or Los Angeles.

#LI-HYBRID

#LI-RR4

SUMMARY

Pinterest helps Pinners discover and do what they love, and enable advertisers to effectively engage with the ideal audience to meet their marketing objectives. Pinterest has grown into one of the world's largest consumer products and advertising platforms, boasting over 600 million monthly active users and generating more than $4 billion in annualized advertising revenue. Our ongoing business success is reliant on our capacity to accelerate product innovation, which in turn allows us to deliver increased value to both our Pinners and Advertisers. For advertisers, Pinterest is a uniquely powerful platform where people actively seek out ideas and products, creating unparalleled purchase intent. 

Pinterest's Ads Quality team sits at the heart of our monetization engine — Pinners with the brands and products most relevant to their moments of inspiration. Reporting to Pinterest’s VP & GM of Monetization, the Senior Director of Product Management, Ads Quality, will own the end-to-end product vision and strategy for one of Pinterest's most significant and technically sophisticated domains.

The Senior Director of Product Management, Ads Quality will lead a team of 10–15 Product Managers, partnering at the highest levels across Engineering, Data Science, Machine Learning, Sales, and Go-to-Market to shape the future of advertising at Pinterest. They will be the strategic architect behind how we optimize for Pinner experience, advertiser outcomes, and Pinterest's long-term business growth — simultaneously and at scale.

The ideal candidate is an experienced product executive who brings deep expertise in digital advertising and ML-powered products, a strong executive presence, and a proven track record of building and inspiring high-performing PM organizations in complex, fast-moving environments.

What You’ll Do: 

• Set and drive organizational vision: Define and champion a multi-year product strategy for Pinterest's Ads Quality portfolio, ensuring alignment across business objectives, technical capabilities, and evolving market dynamics in digital advertising.
• Lead a high-impact PM organization: Build, mentor, and inspire a team of 10–15 senior Product Managers, fostering a culture of product excellence, strategic rigor, and cross-functional collaboration.
• Shape the ML and AI technology roadmap: Partner with senior Engineering and ML leadership to guide the evolution of Pinterest's machine learning and generative AI technology stack, translating cutting-edge capabilities into differentiated advertising experiences.
• Drive advertiser and Pinner value creation: Own the strategic balance between delivering measurable ROI for advertisers and preserving the authentic, high-quality inspiration experience that makes Pinterest unique.
• Influence at the executive level: Serve as a key voice in monetization strategy discussions with C-suite and VP-level stakeholders, representing Ads Quality priorities and translating complex technical tradeoffs into clear business narratives.
• Accelerate go-to-market impact: Partner with Product Marketing and Sales leadership to bring new advertising products to market, from ideation through launch and scaled growth.
• Cross functional collaboration: Partner with the Engineering, Sales, Finance, and Legal teams to develop and implement measurement solutions while also helping with Advertiser and client facing technical communication. 

What We’re Looking For: 

• 15+ years of product leadership experience, with a significant tenure in advertising technology, or data-driven marketing platforms
• A proven track record of building and scaling ads products that have materially driven revenue and business growth
• Executive presence and influence — experience presenting product vision to senior stakeholders and partnering closely with engineering teams to execute on roadmap
• Experience leading large, high-performing PM organizations and developing the next generation of product leaders
• A strategic mindset backed by strong analytical and data fluency, including comfort with ML/AI-driven product development
• History of navigating complexity and driving alignment across large, matrixed organizations
• Bachelor’s or Master’s degree in Computer Science or related field 

Relocation Statement:

• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

In-Office Requirement Statement: 

• We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
• This role will need to be in the office for in-person collaboration at least 1-2 times per week and therefore needs to be in a commutable distance from the Pinterest Palo Alto, San Francisco, Seattle, or Los Angeles office. The role will also require regular travel within the country to meet clients and teams. 

#LI-HYBRID 

#LI-RR4

About the role

In the role of Senior Machine Learning Engineer for Recommendation and Personalization, you will report to the Director of Data Science and Machine Learning in the Center for Data and Insights, working from Los Angeles or San Francisco area in California. You will lead the research, development, and test of advanced models, and work together with product and engineering partners to deliver tailored experiences for our fans across the anime ecosystem, including anime video recommendations, digital manga suggestions, merchandise personalization, anime-themed gaming, music, and more. This position will collaborate closely with scientists, engineers, product owners, to prototype innovative algorithms, evaluate their impact, and integrate them into production systems that drive user engagement, retention, discovery, and satisfaction.

We work a hybrid schedule, in-office three days a week; Tuesday, Wednesday, Thursday. This position can be based in our Los Angeles or San Francisco offices.

Core Areas of Responsibility

• Research, design, and implement machine learning algorithms for recommendation systems, including collaborative filtering, content-based models, and deep learning, and generative recommendation approaches to personalize content discoveries.
• Co-develop end-to-end ML pipelines for data ingestion, feature engineering, model training, evaluation, and deployment using scalable cloud platforms with engineers.
• Optimize models for accuracy, latency, and scalability to handle massive user interaction data from streaming and multi-platform, multi-domain experiences across the fandom.
• Integrate personalization solutions with other services, and implement monitoring for model performance, bias detection, and automated retraining.
• Collaborate on A/B testing, experimentation, and iterative improvements to refine recommendations based on user feedback and evolving content trends.

About You

We get excited about candidates, like you, because you have:

Experience: You bring 8+ years of hands-on experience in applied machine learning, with a proven track record in building recommendation systems or personalization engines, ideally in media, entertainment, or e-commerce platforms.

Technical Skills: Expert in Python and frameworks like TensorFlow, PyTorch, or Scikit-learn, with proficiency in MLOps tools such as MLflow, Docker, and cloud services like AWS SageMaker, Databricks, or similar. Experience with big data tools (e.g., Spark) and cloud infrastructure (e.g., AWS/GCP) for handling large-scale datasets.

Cross-Functional Collaborations: Experienced in partnering with data scientists and analysts, engineers, and product teams to deploy models that align with business objectives like increasing user retention and content consumption.

Communication Skills: Strong ability to document research findings, explain algorithmic choices, and present results to diverse stakeholders for effective adoption.

Educational Background: Graduate degree (MS or PhD) in Computer Science, Machine Learning, Statistics, or a related quantitative field, with publications or contributions in recommendation systems being a plus.

About the Team

Our team is composed of passionate Machine Learning Engineers and Data Scientists who have already made a significant impact across our product offerings, content strategy, and user engagement metrics. As we expand our scope, our team is poised to become the cornerstone of innovation and growth across various business verticals within the company. We are dedicated to leveraging advanced machine learning techniques to continue transforming how users interact with and enjoy our offering of video contents and all other services.

Why you will love working at Crunchyroll

In addition to getting to work with fun, passionate and inspired colleagues, you will also enjoy the following benefits and perks:

#LifeAtCrunchyroll #LI-Hybrid

ANINE BING is looking for a CRM & Retention Marketing Manager to join our Ecommerce team.

This is a build role at the intersection of lifecycle marketing and AI-powered personalization. You will own retention from strategy to execution, shape our CRM platform stack, and bring a genuinely modern approach to how we use data, automation, and AI to deepen the relationship with our customer. The role reports to the Chief Marketing Officer.

This role is open in both New York and Los Angeles — we are looking for the most qualified candidate regardless of location.

Responsibilities Include

• Own lifecycle marketing strategy across email, SMS, and app push — from welcome through repeat purchase, reactivation, and loyalty. You build the programs and run them. 
• Comfort with AI-native workflows is not a nice-to-have here, it is how we expect this function to operate.
• Platform strategy. Evaluate, recommend, and lead the implementation of our CRM and ESP stack, with a clear point of view on what the right architecture looks like for a brand at our stage and pace.
• Acquisition-to-retention handoff. Partner with Performance Marketing on audience strategy, suppression logic, and the seam between paid acquisition and owned retention, making sure we do not lose customers we paid to acquire.
• Retail clienteling partnership. Work closely with the retail team to translate CRM data and segmentation intelligence into clienteling tactics in store, helping identify the right customers for outreach, the right moments to engage, and the right messages to deliver. The goal is a unified customer experience where the relationship does not reset at the door.
• Creative partnership. Brief and collaborate with the Creative team on lifecycle assets across campaigns, evergreen programs, and seasonal moments.
• Retention analytics. Build reporting frameworks tied to the metrics that matter, repeat rate, LTV, lapsed rate, and translate what the data says into what we do next.

Requirements

• 5+ years of experience in CRM, lifecycle marketing, or retention marketing within a DTC or fashion brand.
• Proven track record building and optimizing email and SMS programs — platform-agnostic, with a clear POV on what good looks like.
• Hands-on experience with AI tools applied to marketing, whether that is predictive segmentation, generative content, automated testing, or intelligent send-time optimization. You have used these tools in practice, not just read about them.
• Strong analytical skills with the ability to turn customer data into actionable strategies, not just reports.
• Hands-on experience with Shopify, ESP and CRM platforms, and marketing analytics tools.
• Experience managing or mentoring at least one direct report.
• Excellent written communication skills with an ability to brief creative teams and present clearly to leadership.

Benefits & Perks 

• Work/Life Balance: Enjoy flexible work schedules, generous paid time off, and additional summer days to recharge and reset.
• In-Office Perks: Benefit from a hybrid work schedule and free daily in-office lunches designed to keep you energized, connected, and supported throughout your day.
• Wellness: We offer comprehensive medical, dental, and vision coverage — with ANINE BING covering a significant portion of the cost. Our benefits extend to your family and include a generous parental leave program.
• Style Perks: Enjoy a generous employee discount and seasonal wardrobe allotments — so you can live the brand, not just represent it.

Working at ANINE BING

ANINE BING seeks to empower its employees by providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Diversity and inclusion is critical to our success as a global brand, and we seek to recruit, develop, and retain the most talented people from a diverse candidate pool.

More about ANINE BING

ANINE BING is a Los Angeles-based fashion house founded in 2012 that blends elements of Scandinavian simplicity with American energy to offer modern wardrobe essentials for women seeking a timeless yet rebellious approach to everyday style. Since its launch, ANINE BING has evolved into a global brand, available in over 90 countries with a growing network of brick-and-mortar retail stores in key cities worldwide.

We are hiring an Applied Scientist to help advance personalization across the Crunchyroll ecosystem. In this role, you will lead the scientific development of recommendation, ranking, and decisioning solutions that improve how fans discover and engage with anime series/movies, manga, merchandise, games, and other areas in the anime fandom. You will partner closely with Machine Learning Engineers, Product, Engineering, Marketing, and Content stakeholders to make Crunchyroll the ultimate destination for anime experience.

About the role

In the role of Senior Applied Scientist for Recommendation and Personalization, you will report to the Director of Data Science and Machine Learning in our Center for Data and Insights. You will own the research and applied science agenda for personalization, from problem framing and data exploration through model development, evaluation, experimentation, and iteration. This role is ideal for someone who enjoys combining strong scientific rigor with product thinking to improve user discovery, engagement, retention, and long-term fan value.

You will work across multiple user touchpoints, including app and web interfaces, lifecycle and promotional email campaigns, and flywheels that connect video, ecommerce, manga, and adjacent experiences. You will help define what great personalization looks like at Crunchyroll, build the evidence to prove impact, and collaborate with engineering partners to ensure the resulting solutions can be productionized effectively.

This position is based in our Los Angeles office, but we will consider our San Francisco office as a secondary location. We work a hybrid schedule, in-office three days a week: Tuesday, Wednesday, and Thursday. 

Core areas of responsibility

• Lead the research and development of recommendation, ranking, retrieval, and personalization methods tailored to Crunchyroll use cases across streaming, manga, ecommerce, and lifecycle marketing surfaces.
• Frame ambiguous business and product questions into clear scientific problems, hypotheses, success metrics, and experimentation plans.
• Design and run robust offline evaluation frameworks for recommender systems, including relevance, diversity, novelty, coverage, calibration, and long-term value metrics.
• Partner with Product, Analytics, and Engineering to define online experiments, interpret results, and turn learnings into roadmap decisions and model improvements.
• Develop user, content, and contextual understanding through feature design, representation learning, segmentation, and behavioral analysis.
• Prototype and evaluate a range of approaches, including collaborative filtering, content-based methods, sequence modeling, deep learning, bandits, causal or uplift methods, and LLM-enabled recommendation techniques where appropriate.
• Analyze user feedback loops and cross-domain interactions to improve discovery across video, merchandise, manga, and other ecosystem experiences.
• Work closely with Machine Learning Engineers to translate promising research into production-ready solutions on our in-house recommendation platform.
• Communicate scientific findings, model tradeoffs, and business implications clearly to technical and non-technical stakeholders.
• Help establish best practices for experimentation, reproducibility, model governance, and scientific documentation within the personalization and recommendations function.

About you

We get excited about candidates, like you, because you have:

Experience: You bring 5+ years of experience in applied machine learning, recommendation systems, search/ranking, experimentation, or a closely related area, with a track record of driving measurable product impact.

Scientific Depth: You have strong foundations in machine learning, statistics, experimental design, and causal thinking, and you know how to choose the right level of modeling complexity for the problem at hand.

Recommendation Expertise: You have hands-on experience with at least some of the following: collaborative filtering, retrieval and ranking systems, representation learning, sequence / generative models, bandits, graph methods, or personalization for consumer products.

Technical Skills: You are highly proficient in Python and comfortable working with common ML libraries such as PyTorch, TensorFlow, Scikit-learn, XGBoost, or similar tooling. Experience working with SQL, distributed data processing, and cloud-based ML workflows is strongly preferred.

Experimentation Mindset: You know how to design offline and online evaluations, reason carefully about metrics, and connect experimental findings to user and business outcomes.

Cross-Functional Collaboration: You have experience partnering effectively with engineers, product managers, analysts, marketers, and business stakeholders to move from idea to execution.

Communication Skills: You can explain sophisticated modeling decisions and ambiguous findings in a clear, decision-oriented way to diverse audiences.

Educational Background: You hold an MS or PhD in Computer Science, Machine Learning, Statistics, Operations Research, Economics, or a related quantitative discipline, or you bring equivalent applied industry experience.

Nice to have

• Experience personalizing content, commerce, media, entertainment, gaming, or subscription products at scale.
• Familiarity with recommender-system failure modes such as popularity bias, cold start, sparse feedback, and feedback loop effects.
• Experience with multi-objective optimization, constrained ranking, or balancing short-term engagement with long-term user value.
• Exposure to generative AI, representation learning, or LLM applications that support recommendation and personalization workflows.
• Published research, patents, or open-source contributions in recommendation systems, personalization, applied machine learning, or experimentation.

About the team

Our centralized DS/ML team serves stakeholders across Finance, Product, Engineering, Marketing, Creatives, and Content Operations with data-driven and ML/AI-powered solutions. Within that broader organization, the Personalization and Recommendation group is building the next generation capabilities to power tailored fan experiences across every major user interface and lifecycle touchpoint. Today, the team includes engineers focused on operationalizing our recommendation platform with strong engineering excellence. This Applied Scientist role complements that foundation by bringing deeper scientific ownership to modeling strategy, evaluation, and experimentation, while partnering closely with an additional MLE hire to accelerate production impact.

Why this role is exciting

• You will help define personalization strategy across multiple surfaces instead of optimizing a single narrow funnel.
• You will work on problems that span content discovery, user engagement, retention, and cross-domain ecosystem value.
• You will influence both what we build and how we measure success, with strong exposure to partners across the business.
• You will join at a formative moment, with the opportunity to shape team standards, technical direction, and long-term roadmap.

Why you will love working at Crunchyroll

In addition to getting to work with fun, passionate and inspired colleagues, you will also enjoy the following benefits and perks:

#LifeAtCrunchyroll #LI-Hybrid

More about the role:

The Business Insights, Data & Intelligence (BIDI) team sits at the heart of this work—turning data into strategic insight that drives storytelling, campaign performance, and business outcomes.

Burson is seeking a Director to join our Business Insights, Data & Intelligence team. This role requires a balance of analytical rigor, strategic thinking, AI fluency, and client leadership. The ideal candidate will be client-facing and have a strong understanding of social media listening, cultural and competitor trends, analytics reporting, excellent research and writing skills, and overall, understands the importance of building strategies to support integrated campaigns, with a passion for turning data into stories.

This role can be based in Atlanta, New York (metro), Los Angeles or Dallas.

What you'll do:

• Lead the development of strategic insights that inform communications, marketing, and reputation-driven campaigns.
• Translate data into clear narratives and recommendations for senior client stakeholders.
• Proactively deep dives into data to inform and steer critical decision making, as well as work with complex datasets to aggregate, ingest and organize data in a clean, ready-to-use fashion for the team to deliver data-led findings in a way that makes sense for each brand.
• Monitor, track, and evaluate earned and owned organic campaign performance analytics, based on client KPIs, targets and baselines.
• Identify trends, cultural signals, and audience behaviors.
• Oversee social listening programs using tools such as Brandwatch, Sprinklr, and similar platforms ensuring data integrity and methodological rigor.
• Apply AI capabilities to enhance insight generation, trend detection, and forecasting while helping to evolve Burson’s AI-enabled analytics and intelligence approaches.
• Provide easy to understand social analytics with strategic implications relating to the overall brand objectives and work within a team to develop and execute creative digital and social media content.

Experience that contributes to success:

• 7+ years of experience in analytics, insights, or intelligence roles working within or for the PR, Communications, or Advertising industry, with a deep understanding of its unique data landscapes, client demands, and strategic challenges. 
• Strong background in social media analytics and social listening.
• Proficient understanding of social listening, particularly with experience using Sprinklr for analytics, in addition to other Boolean Language and platforms, like Brandwatch, Meltwater, etc.
• Proven ability to translate data into strategic insights.
• Experience with generative AI models and integrating AI into operational workflows.
• Client-facing communication skills, with a track record of translating complex technical concepts into clear, concise, and impactful business recommendations for senior stakeholders. 
• Proven ability to manage multiple projects concurrently, prioritize effectively, and drive results in a fast-paced environment. 
• Excellent storytelling and presentation skills.
• Detail-oriented while keeping sight of bigger picture/trends; intellectually curious.
• Keen eye for data trends and the ability to investigate and extract insights and stories.
• Excellent written and verbal communications skills.

#LI-MG1

Burson is an equal opportunity employer and considers applicants for all positions without discrimination or regard to particular characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers. 

The Streaming & Media Engineering Team at Major League Baseball is seeking a Senior Software Engineer to join our Los Angeles, CA office. In this role, you will help build the next generation of platforms powering world-class fan experiences across MLB’s streaming products, including live and on-demand video processing, live content insertion, and custom orchestration software that integrates with cutting-edge broadcast equipment and operations. As a key contributor, you will design, build, and operate highly reliable distributed systems within MLB’s streaming ecosystem, while writing hands-on code, influencing technical direction, and playing an active role in design and code reviews. You will also collaborate closely with cross-functional partners across engineering, product, and operations.

Responsibilities

• Design, implement, and maintain scalable, cloud-native services that power live and VOD streaming workflows
• Decompose complex systems into well-defined services, APIs, and modules
• Write clean, efficient, well-tested, and maintainable code
• Participate in architecture/design reviews and provide thoughtful technical feedback
• Actively participate in Agile ceremonies (planning, stand-ups, retros, postmortems)
• Contribute to operational excellence through monitoring, alerting, and on-call support
• Mentor early-career engineers and promote engineering best practices
• Stay current with emerging technologies and industry trends

Qualifications & Skills

• Bachelor’s degree in Computer Science or related field, or equivalent practical experience
• 5+ years of professional software development experience building and supporting production systems
• Strong problem-solving skills and a track record of delivering high-quality solutions
• Experience with modern software development practices: Agile, source control, CI/CD, testing, and code reviews
• Strong experience with Core Java (or Kotlin) and Spring/Spring Boot
• Experience with messaging systems and relational/non-relational databases
• Experience with JavaScript (React and/or Node.js)
• Hands-on experience with cloud platforms (GCP and/or AWS)
• Experience with cloud-native technologies: Kubernetes, Docker, Helm, Terraform
• Experience building distributed, event-driven, non-blocking systems (e.g., async I/O, virtual threads, reactive patterns)

Bonus / Nice-to-Have Skills (AI / ML)

• Experience with Generative AI / ML APIs (e.g., LLMs, embeddings, speech-to-text, video/audio analysis) and common AI-powered workflows
• Understanding of prompt engineering and model evaluation, with interest in applying AI/ML to media and automation
• Exposure to live and/or VOD streaming media systems, including familiarity with HLS, FFmpeg, and SCTE standards.
• Experience with Google Ad Manager (GAM) and ad decisioning / ad insertion workflows

Salary Range: $150,000 - $185,000 (Base Salary + Bonus)

As a candidate for this position, your salary and related aspects of compensation will be contingent upon your work experience, education, skills, and any other factors MLB considers relevant to the hiring decision. In addition to your salary, MLB believes in providing a competitive compensation and benefits package for its employees.

Top MLB Perks & Benefits

• Competitive Benefits Package
• Company 401K Contribution
• Paid Time Off and Holidays
• Paid Parental Leave
• Access to Free Tickets to Baseball Games & MLB.TV
• Discounts at MLB Store | MLBShop.com
• Employee Assistance Programs (EAP)
• Onsite/Online Training & Development Programs
• Tuition Reimbursement
• Disability Benefits (short term and long term)
• Life and Accidental Death Insurance
• Pet Insurance

Research Scientists at Riot combine deep technical expertise across machine learning, artificial intelligence (AI), experimental design, and systems engineering to invent new ways players experience games. As a Staff Research Scientist, you push the boundaries of what’s possible and raise the bar for research quality and its translation into extraordinary gameplay.

The Technology Research team performs applied research to accelerate the pace of building amazing player experiences at Riot Games. As a Staff Research Scientist, you will research and develop world models—learned representations that understand, predict, and simulate game environments. Rather than building general-purpose large language models, you will focus on models that capture the structure and dynamics of Riot's games: how state evolves, how players behave, and how design changes ripple through complex systems. Your work will power scalable simulation for agent training, automated game balancing, synthetic data generation, and new forms of language-conditioned game interaction. You will stay deeply hands-on, turning advances in predictive simulation, latent state representations, and environment modeling into concrete prototypes that game teams can evaluate and build on. You will work closely with game teams to ground your research in real gameplay needs and partner across Technology Research to connect world models with game AI and NLP efforts.

Responsibilities:

• Propose, implement, and evaluate world models that learn latent representations of game state, player behavior, and environment dynamics
• Build predictive simulations that enable agent training, game balance testing, and rapid design iteration without full game server overhead
• Develop methods for synthetic data generation and auto-balancing powered by learned environment models
• Explore language-conditioned approaches that combine large language models with state estimators to enable new forms of game interaction
• Work closely with game teams to understand gameplay needs and design constraints, ensuring research is grounded in real player experiences
• Partner with game AI and NLP researchers to integrate world models into broader AI systems across Technology Research
• Stay current with academic and industry advances in world models, predictive simulation, representation learning, and environment modeling (e.g., MuZero, Gato, Dreamer)
• Communicate progress and learnings clearly to stakeholders, helping teams understand both what works and what doesn’t

Required Qualifications:

• Ph.D. in Machine Learning, AI, Statistics, Math, or related Computer Science/Quantitative field, or equivalent experience (i.e., M.Sc. with 3+ years of relevant experience, or B.Sc. with over 6+ years of relevant experience, etc.)
• 2+ years experience in deep learning or algorithmic foundations of optimization
• Experience with generative models, representation learning, model-based reinforcement learning, or learned simulation
• Proficiency in C, C++, or Python
• Expertise with TensorFlow or PyTorch

Desired Qualifications:

• Experience building or training world models, dynamics models, or latent-space simulators (e.g., Dreamer, MuZero, or similar architectures)
• Familiarity with game engines (e.g., Godot, Unity, or Unreal) for prototyping or data collection
• Distributed computing systems design or large-scale model training infrastructure
• Experience with GCP or AWS
• Demonstrated contributions to public research (e.g., publications, talks, open-source projects)

For this role, you'll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes the delight of players. We will be looking at your past studies, experience, and your personal relationship with games. If you embody player empathy and care about players' experiences, this could be your role!

Our Perks:

Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules. We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and a 401k with company match. Check out our benefits pages for more information.

At Riot Games, we put players first. That mission drives every decision in our quest to create games and experiences that make it better to be a player. Whether you’re working directly on a new player-facing experience or you’re supporting the company as a whole, everyone at Riot is part of our mission. And just like in our games, we’re better when we work together. Our goal is to create collaborative teams where you are empowered to bring your unique perspective everyday. If that sounds like the kind of place you want to work, we’re looking forward to your application.

It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act.

Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories:

• Safeguarding confidential and sensitive Company data
• Communication with others, including Rioters and third parties such as vendors, and/or players, including minors
• Accessing Company assets, secure digital systems, and networks
• Ensuring a safe interactive environment for players and other Rioters

These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security. 

About the role

HeyGen is building the AI video platform that Fortune 500 enterprises run their content operations on. Our strategic customers are not looking for another SaaS tool. They want production AI systems that plug into their LMS, their CRM, their HR stack, and their brand controls, and that their employees and end-users actually use every day. Closing the gap between what our APIs can do and what each enterprise needs them to do is the job.

We're hiring our first Forward Deployed Engineers to own that gap.

As a Forward Deployed Engineer on Strategic Accounts, you'll embed with our most technically complex enterprise customers and ship production AI video systems alongside their engineering teams. You'll own the last mile of delivery: discovery, technical scoping, architecture, build, rollout, and the eval-driven feedback loop back into HeyGen's product and model roadmap.

You'll operate autonomously, partner directly with customer engineering leaders and VPs, and represent HeyGen at the technical frontier. Typical questions you'll help answer look like:

• "How do we let 40,000 customer service reps generate branded training videos in twelve languages without going through our marketing team?"
• "How do we embed a live avatar into our product onboarding flow so every new user gets a conversational walkthrough in under 20 milliseconds of latency?"
• "How do we make HeyGen safe to deploy across a regulated pharma's field medical team with full avatar consent, audit logging, and subprocessor controls?"

You'll work side by side with our Product, Engineering, Sales, and Customer Success teams. Your field insights will directly influence what HeyGen ships next.

San Francisco or Los Angeles. Hybrid. Expect 25–40% travel to customer sites.

What you'll do

• Own end-to-end enterprise deployments. Lead technical discovery, architecture, and production rollout for our most complex strategic accounts. Integrate HeyGen cleanly into customer CRM, LMS, HR, and marketing stacks.
• Build on the HeyGen API and LiveAvatar. Ship real-time conversational agents, session-based lifecycles, and WebRTC integrations inside client applications. Produce reusable reference implementations, SDK wrappers, webhook integrations, and eval harnesses that later get pulled back into the platform.
• Run the hard escalations. Act as the senior technical owner on production-blocking issues. Advocate for the customers’ technical needs on streaming, latency, and integration failures, and coordinate cross-functional fixes with engineering.
• Close the product feedback loop. Translate messy real-world requirements into structured product input. Identify patterns across custom builds that should be generalized into the platform, and partner with core engineering to productize them.
• Be a trusted technical voice for customers. Explain model behavior, performance trade-offs, and roadmap to non-technical executives and to customer engineering teams in equal measure.

What success looks like

In your first year, we'll measure your impact on time to production for strategic accounts, expansion revenue driven by the accounts you own, the number of reusable patterns you contribute back to the platform, and the quality of the eval and feedback signal you send into our product organization.

What we're looking for

• 3+ years in software engineering, solutions architecture, or a similar builder role. You're comfortable shipping production-grade code in Python and JavaScript/Node.js.
• Hands-on experience building with LLMs or other generative AI systems in production, including familiarity with prompt engineering, agent development, and evaluation frameworks. You understand how model behavior affects product experience.
• Working knowledge of API design, webhooks, and cloud infrastructure.
• The ability to move fluidly between a customer engineering standup and a VP-level business conversation, and to explain technical trade-offs to both audiences without losing either.
• High agency under ambiguity. You're energized by building a function that doesn't exist yet rather than joining one that does.

Nice to have

• WebRTC, real-time media, or low-latency streaming experience.
• Experience at an FDE, solutions engineering, or post-sales engineering org at a frontier AI or enterprise SaaS company.
• Experience as a technical founder or early engineer at a startup. We especially want to hear from you.

A note on fit

If you don't check every box above but you're excited about building the forward-deployed function at an AI-first company, please apply. We care more about trajectory and taste than a clean line-by-line match.

Salary Range:

$175,000 – $225,000 annual base salary

Total compensation includes cash compensation, equity, and benefits.

Please note that the salary information is a general guideline only.  HeyGen considers factors such as scope and responsibilities of the position, candidate's work experience, education/training, key skills, and internal equity, as well as location, market and business considerations when extending an offer.  As part of our total rewards package, HeyGen offers comprehensive benefits including a 401k plan, health benefits, generous PTO, a parental leave program and emotional health resources.

HeyGen is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Join us at HeyGen and be part of a team that's making visual storytelling accessible to all!

Who We Are:

Being naked is the #1 most sustainable option. We're #2.

Since 2009, we've been on a mission to bring sustainable fashion to everyone. Named one of Fast Company’s Brands That Matter and winning a Best Carbon Footprint award, we have big goals like being Climate Positive by 2025, Circular by 2030, and pushing the whole industry forward along the way. Our work has gotten love in Drapers and Sourcing Journal, and TIME wrote about how great our CEO, Hali Borenstein, is. Basically, we're saving the Earth and looking damn good doing it.

We're a global brand with 50+ stores (and counting) around the world, and our own sustainable factory in LA. We innovate across categories like accessories, swimwear, and sleepwear, and we reach millions of people with campaigns like this, this and this. 

None of this work is possible without the incredible people behind it. We're a mission-based company that invests in an inclusive culture, so we can innovate together and ensure everyone has the space to grow, thrive, and belong.

And starting right now, we want to do all that with you.

Work Location/ Schedule: Culver City, CA / 4 days per week in office

Vice President, Growth Marketing

Reformation is looking for a Vice President, Growth Marketing to lead our global paid marketing function and scale the Ref brand in our next stage of growth. This is a senior role requiring a dynamic leader who can operate at the highest strategic level while remaining deeply connected to performance, people, and execution. The right person has managed large paid media budgets, understands scale and brings a global perspective to every decision they make. This role is heavily focused on people leadership: building, mentoring, and inspiring a high-performing team while cultivating strong relationships with agency partners, platform vendors, and cross-functional leaders across Reformation.

This leader will oversee a complex, multi-channel marketing ecosystem spanning a large number of SKUs, and must have the experience and confidence to manage creative strategy, product marketing, and performance channels simultaneously. They will be the primary steward of Ref’s media investment, responsible for driving measurable revenue growth while maintaining the brand integrity that sets us apart as a digitally native, sustainability-first company.

What You’ll Do:

People Leadership & Partner Management (50% of role)

• Lead, develop, and inspire a high-performing growth team, including a high performing team across media buying, investment & pacing, measurement, and creative strategy; creating clarity in priorities and space for team members to grow and advance.
• Serve as the primary relationship owner for agency partners, platform vendors (Meta, Google, TikTok, and others), and cross-functional leaders across Brand, Creative, Merchandising, and Digital, building the trust and visibility that drives alignment and results.
• Cultivate strong cross-functional partnerships across the organization, breaking down silos and enabling faster, smarter decision-making at every level.
• Represent the Growth function in senior leadership conversations, serving as a key voice in financial forecasting, budget planning, and strategic investment discussions.

Global Paid Media Strategy & Execution

• Own and scale a sophisticated global paid media strategy across all performance channels, including SEM, paid social, display, video, affiliate, and emerging formats.
• Maintain a sharp focus on CPA, incrementality, and profitability at scale.
• Explore and navigate the AI-driven media landscape, staying at the forefront of automated bidding, generative creative optimization, and the shift toward agentic search environments to maintain a competitive edge.
• Maintain a sharp focus on CPA, incrementality, and profitability at scale, leveraging predictive modeling to forecast outcomes across diverse global markets.
• Bring deep experience with international market expansion and complexity, navigating the nuances of global media buying across multiple regions, currencies, and regulatory environments.
• Oversee daily investment pacing and budget deployment across a large and growing media spend, ensuring efficiency, agility, and alignment to business objectives, including weekends and high-volume periods.
• Lead the continued maturation of Ref’s channel strategy, identifying opportunities to scale proven channels and rigorously testing and exploring emerging AI-led platforms and ad formats with discipline and a focus on sustainability. 

Creative Strategy & Brand Integration

• Champion a creative strategy that is cohesive across all channels, ensuring that paid media does not exist in isolation but reinforces Ref’s unique brand and voice.
• Partner closely with Creative, Brand, and Merchandising teams to brief, develop, and iterate on content that performs and feels distinctly Ref across a large number of SKUs and frequent new-collection launches.
• Push creative thinking forward while respecting Ref’s unique approach to production, acting as a creative partner and strategic ideator rather than a prescriptive director.

Measurement & Optimization

• Lead a nuanced, multi-solution measurement strategy that treats attribution as both an art and a science, using data to make faster, better decisions without over-engineering for the sake of complexity.
• Build and maintain reporting structures that give the team, partners, and leadership clear visibility into performance, incrementality, and the financial impact of media investment.
• Stay at the forefront of industry shifts in measurement, privacy, and attribution; proactively identifying risks and opportunities as the landscape evolves (e.g., cookieless tracking, AI-driven signal loss, and synthetic data modeling).
• Champion a culture of experimentation, leveraging industry trends to accelerate A/B testing cycles and develop deeper insights into long-term customer LTV and incrementality.

What You’ll Need:

• 12+ years of growth marketing experience, with significant time spent in senior leadership roles at high-growth consumer or e-commerce companies
• Demonstrated experience managing large-scale paid media budgets, with a track record of efficient scaling across multiple channels
• Proven global experience: you have planned, bought, and optimized media across international markets and understand the complexity that comes with it
• Deep fluency in performance marketing channels (paid social, SEM, display, video, affiliate) and the ability to provide strategic guidance to channel experts on your team
• Experience managing creative, product, and performance marketing simultaneously in a high-SKU environment with frequent new-product launches
• Strong people leader with a track record of building, retaining, and developing talented teams; you create clarity, trust, and growth opportunities for those around you
• Demonstrated success building and managing relationships with external partners, agencies, platforms, and vendors.
• Analytically rigorous with strong financial acumen; you are comfortable owning forecasting conversations and translating data into executive-level insight
• Collaborative, cross-functional operator who builds bridges rather than boundaries and is energized by the complexity of a multi-stakeholder organization
• A genuine passion for Reformation’s brand, mission, and commitment to sustainability

Who You Are:

• You are a seasoned executive who has done this at scale and you can prove it.
• You lead with clarity, trust your team, and know when to get in the weeds and when to elevate.
• You have a global mindset and instinctively think across geographies, channels, and audiences.
• You are as comfortable in a financial forecast meeting as you are in a creative brief session.
• You thrive in fast-paced, high-ambiguity environments and bring calm, focused leadership when the stakes are high.
• You are a builder of relationships—with partners, vendors, and the teams around you—and you understand that trust is the foundation of everything.
• You are motivated, strategic, and results-driven, with a genuine desire to see the tangible impact of your work.

Compensation:

At Reformation, we believe in transparency and equity when it comes to compensation. For this role, the anticipated base salary range is $200K - $250K  + 20% eligibility, depending on a variety of factors, including but not limited to relevant experience, skills, qualifications, and internal compensation equity.

This role may also be eligible for an annual discretionary bonus based on a range of factors, including company performance, department goals, and individual contributions. Bonus amounts and eligibility are not guaranteed and are determined at the company’s discretion.

Please note that compensation decisions are made thoughtfully and may vary from the listed range to reflect individual circumstances and evolving business needs. Our total rewards package also includes benefits, perks, and opportunities for growth that contribute to overall compensation.

Benefits & Perks:

• Eligible employees get employer-sponsored private medical, dental, and vision insurance, as well as commuter benefits to help support your travel to and from work.
• We offer competitive paid time off policies including vacation, sick leave, and company holidays for eligible employees. 
• We offer retirement planning support for eligible employees, including the option to invest in Environmental Social Governance-aligned (fancy way to say sustainable) funds. 
• We’re a mission-based company with offices in LA, NYC and London, as well as a global retail team, which means you’ll get to collaborate with people all around the world.
• You’ll get access to fertility care support through Carrot, and up to a $5,000 USD reimbursement for related fertility expenses after 1 year of employment.
• We care about the causes our employees care about so we donate to community efforts on a yearly basis. 
• We offer a clothing discount, culture events (like our annual Ref Values week and Volunteer Time Off), you know, all the meaningful and fun stuff!

Reformation is proud to be an Equal Opportunity Employer. We’re committed to building a diverse and inclusive team that reflects the world we want to live in. All qualified applicants will be considered for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, disability, age, or veteran status—in accordance with applicable international, federal, state, and local laws.

If you require accommodations during the application or interview process, please let us know. We’re here to ensure you have what you need to show up as your best self.

Still don’t know if you should apply? We get it—studies show that many women and individuals from historically underrepresented communities hold back from applying unless they meet every single requirement. At Reformation, we’re all about growth, not gatekeeping. If you’re passionate about the role and excited about making fashion more sustainable, we’d love to hear from you. If this role doesn’t totally excite you, consider applying to our general application.

Want some more?! - Sustainability, Forbes, Fast Company

California Applicant Privacy Notice found here

Voyager is an innovative defense, national security and space technology company committed to advancing and delivering transformative, mission-critical solutions. We tackle the most complex challenges to unlock new frontiers for human progress, fortify national security, and protect critical assets to lead in the race for technological and operational superiority from ground to space. 

Forge the Future: Join Voyager Technologies 

The future belongs to those who build it. At Voyager Technologies, we’re building technologies that protect lives, expand frontiers and prepare us for what’s next. And we’re doing that with people who are wired to solve, build, adapt and lead. These roles are not for the faint of heart.  

You’ll help lay the foundation for humanity's future. Join a culture where innovation thrives, curiosity is rewarded, and impact is real. We’re a company of doers, thinkers and builders, united by purpose and grounded in reality. 

If you want to put your skills to work where the stakes are real and the mission is bigger than any one person, forge the future with Voyager. 

____________________________________________________________________________________ 

Job Summary: 

We are seeking a Full Stack Software Engineer to build the frontend and backend of the Agentic Computational Engineering platform. In this role, you will create high-performance full stack web applications that allow engineers to steer AI agents, visualize complex physics and CAD data, and collaborate with AI agents in real time.

You will work across the stack, with an emphasis on performance, 3D visualization, and intuitive UX for technical users. This role is ideal for someone who loves building tools for other engineers and who wants to make the reasoning and actions of AI systems transparent.

You will be joining the Agentic Computational Engineering (ACE) team, a specialized group within our Advanced Technology Development organization. ACE is responsible for building Voyager’s Generative Engine – the AI-native platform that compresses complex hardware development cycles from years to days. We design agentic AI systems that pair deeply with physics simulation, test data, and modern manufacturing so that Design for Manufacturing (DfM), Design for Assembly (DfA), and Design for Test (DfT) are built into the very first line of code and the very first sketch of a design.

Responsibilities: 

• Design and build web applications that serve as mission control for ACE, with a focus on responsiveness and usability for expert users.
• Implement high-fidelity 2D/3D visualizations (e.g., CAD models, PCB layouts, CFD fields) using technologies such as Three.js, WebGL, or WebGPU.
• Create features that expose agent reasoning, tool usage, and design history in transparent and intuitive ways for engineers.
• Develop real-time, collaborative editing and review workflows (e.g., via WebSockets, CRDTs) for human-AI co-design.
• Collaborate with backend, platform, and domain team members to design APIs and data contracts that power the UI.
• Manage agentic teams of LLMs to scaffold components, generate documentation, and accelerate development.

Required Qualifications:  

• An ability to define design decisions and build rapidly in a scalable way.
• 1–5 years of experience as a full-stack or frontend-focused software engineer (exceptional new graduates encouraged to apply with a strong portfolio).
• Experience with modern web frameworks such as React and Next.js, and with state management for complex applications.
• Strong understanding of JavaScript/TypeScript, HTTP APIs, and browser performance optimization.
• Exposure to 3D graphics or data visualization on the web (WebGL/WebGPU/Three.js or similar) through professional work, coursework, or personal projects.
• Demonstrated habit of using AI tools to accelerate implementation, styling, and documentation.

Preferred Qualifications:  

• Bachelor’s degree in Computer Science, Engineering, Physics, Mathematics or a related field; or equivalent experience.
• Experience building software tools for engineers, scientists, or technical operations teams.
• Portfolio of creative coding, generative art, or game development projects.
• Familiarity with design systems and UX best practices for technical users.
• Deep passion for automation.

Voyager offers a comprehensive, total compensation package, which includes competitive salary, a discretionary annual bonus plan, paid time off (PTO), a comprehensive health benefit package, retirement savings, wellness program, and various other benefits. When you join our team, you’re not just an employee; you become part of a dynamic community dedicated to innovation and excellence. 

To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State. 

Voyager is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.  

Minority/Female/Disabled/Veteran 

The statements contained in this job description are intended to describe the general content and requirements for performance of this job. It is not intended to be an exhaustive list of all job duties, responsibilities, and requirements. This job description is not an employment agreement or contract. Management has the exclusive right to alter the scope of work within the framework of this job description at any time without prior notice. 

Research Scientists at Riot combine deep technical expertise across machine learning, artificial intelligence (AI), experimental design, and systems engineering to invent new ways players experience games. As a Principal Research Scientist, you operate at the frontier of what’s possible and set the standard for how research is conducted and how it translates into extraordinary gameplay.

As a Principal Research Scientist in Tech Research, you will lead a small, cross-functional team focused on building AI-powered gameplay prototypes. These prototypes are not paper exercises, instead they are playable, opinionated explorations of new game mechanics, agent behaviors, and player experiences enabled by modern AI. You will be responsible for identifying promising research directions, translating them into concrete gameplay experiments, and driving them from early concept through working prototypes that influence game teams. You will be the technical and creative lead on complex, ambiguous problems where success requires strong judgment, rapid iteration, and an ability to balance research rigor with hands-on building. You will set the vision and quality bar, leading by example in various capacities, including writing code, shaping robust systems, and mentoring team members. You will lead AI-driven gameplay exploration who is tasked with rapidly testing new ideas through playable prototypes, rigorous evaluation, and real player insight. Your team will identify emerging research with the potential to meaningfully change gameplay, turn it into concrete gameplay experiments, and work with game teams to transform validated breakthroughs into options Riot can confidently commit to.

Responsibilities:

• Define and lead AI-powered gameplay research directions, translating emerging ML/AI capabilities into concrete, playable game prototypes
• Build, lead, and mentor a small cross-functional team, setting technical direction while remaining deeply hands-on
• Own research and prototyping roadmaps, milestones, and risk management for multi-quarter initiatives
• Work closely with game teams to understand player goals and design constraints, ensuring prototypes are grounded in real gameplay needs
• Rapidly iterate on prototypes, balancing research rigor with playability, performance, and developer usability
• Stay current with academic and industry advances in AI for games, reinforcement learning, generative models, and agent systems
• Communicate vision, progress, and learnings clearly to stakeholders, helping teams understand both what works and what doesn’t

Required Qualifications:

• MS in Computer Science or equivalent with 6+ years research experience or BS in Computer Science or equivalent with 8+ years research experience
• Strong background in applied or foundational research, with experience leading projects through hypothesis-driven experimentation
• 2+ years of experience in machine learning for sequential decision-making, agents, or complex systems (e.g., RL, imitation learning, planning, or hybrid approaches)
• Proficiency in C, C++, or Python
• Demonstrated contributions to public research (e.g., publications, talks, open-source projects)
• Experience designing and implementing complex systems that integrate ML with real-time or interactive environments
• Expertise with PyTorch or TensorFlow
• Experience working in commercial game engines for prototyping or production
• Strong understanding of gameplay systems, game loops, and real-time constraints
• Experience collaborating closely with designers and engineers in a game development context

For this role, you'll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes the delight of players. We will be looking at your past studies, experience, and your personal relationship with games. If you embody player empathy and care about players' experiences, this could be your role!

Our Perks:

Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules. We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and a 401k with company match. Check out our benefits pages for more information.

At Riot Games, we put players first. That mission drives every decision in our quest to create games and experiences that make it better to be a player. Whether you’re working directly on a new player-facing experience or you’re supporting the company as a whole, everyone at Riot is part of our mission. And just like in our games, we’re better when we work together. Our goal is to create collaborative teams where you are empowered to bring your unique perspective everyday. If that sounds like the kind of place you want to work, we’re looking forward to your application.

It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act.

Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories:

• Safeguarding confidential and sensitive Company data
• Communication with others, including Rioters and third parties such as vendors, and/or players, including minors
• Accessing Company assets, secure digital systems, and networks
• Ensuring a safe interactive environment for players and other Rioters

These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security. 

AI Artist (NYC / LA)

Department: Creative
Reports to: US Creative Director
Location: New York City, NY / Los Angeles, CA
Salary Range: $70,000–$110,000 

About Wonder

Wonder Studios is an AI-native film and content studio redefining how stories are told. We partner with global brands, artists, and studios to create world-class campaigns, films, and experiences that merge cinematic craft with cutting-edge AI technology.

Backed by leading global investors, Wonder recently closed a $12M seed round to accelerate its next phase of growth - expanding our team and building the future of storytelling.

Our work spans entertainment, advertising, and IP - collaborating with partners such as YouTube, Google DeepMind, Universal Music Group, Campfire Studios and leading global artists. 

The Role

We’re hiring an AI Artist to join our US Creative team and play a hands-on role in how work is developed and produced at Wonder. You’ll work closely with the US Creative Director and Producer as part of small, cross-disciplinary teams across concept development, storytelling, and production.

This role is deeply hands-on in the creative process. You’ll create AI-generated assets for both pitches and live productions, helping develop campaigns and original studio projects ranging from commercials and music videos to episodic and long-form storytelling.

You’ll also help define, test, and apply emerging AI technologies and workflows across the creative process, from ideation through delivery. The role requires strong creative judgment, comfort working quickly and iteratively, and a point of view on how AI can expand cinematic storytelling at scale.

Key Responsibilities

• Contribute to creative development and execution across branded campaigns and original studio projects, including commercials, music videos, documentaries, and episodic or long-form content.
• Generate high-quality AI assets - including images, video, and sound - to support concept development, pitches, and live productions
• Translate client briefs into compelling visual concepts and narratives, using AI to accelerate creative exploration and production.
• Collaborate closely with the Creative Director, Producer, and wider team to execute work that supports larger creative solutions.
• Pressure-test emerging AI tools and structure effective workflows to maintain efficiency without compromising experimentation.
• Stay ahead of trends in content and AI, helping evolve Wonder’s creative workflows and capabilities.

Core Qualifications

• Demonstrates a proficiency in a variety of all the leading generative AI tools (e.g., Midjourney, Google Nano Banana, Kling, Luma, Runway, Seedance, Veo, Topaz etc), with work that reflects strong visual taste, conceptual thinking, and AI-driven workflows.
• Fluency in prompt engineering with the ability to translate creative intent into structured, efficient, repeatable outputs across image, video, and production systems.
• A multi-hyphenate skill set that blends AI artistry with hands-on craft across editing, compositing, or 3D pipelines.
• Familiarity with post-production tools such as Premiere Pro, Final Cut Pro, After Effects, Blender, Cinema 4D, Nuke, or DaVinci Resolve.
• A background or foundation in filmmaking, post-production, preferably in 3D/VFX/Editing.
• Experience working in creative productions such as film, commercials, music videos, or branded content.
• Strong storytelling instincts across still and motion, with a sharp eye for composition, pacing, and visual clarity.
• Ability to work quickly and iteratively in fast-moving creative environments.
• Strong collaboration and communication skills across cross-functional teams.
• Working hours between US time zones

Additional Experience

• Ideal candidate has experience working in a creative role within an agency, studio, content studio, or media agency
• ComfyUI experience
• Experience with node-based AI workflows
• Experience with agentic AI workflows

Why Join Wonder

• Be part of an AI-native studio redefining how stories are created and produced.
• Work across high-profile branded campaigns and original studio projects, including films, music videos, documentaries, and episodic content.
• Use cutting-edge AI tools as a core part of the creative process—not an add-on.
• Collaborate with world-class creatives, technologists, and storytellers.
• Grow with a fast-scaling studio, with clear opportunities to take on greater creative ownership and leadership. 

Lightricks is an AI-first company creating next-generation content creation technology for businesses, enterprises, and studios with a mission to bridge the gap between imagination and creation. At our core is LTX-2, an open-source generative video model, built to deliver expressive, high-fidelity video at unmatched speed. It powers both our own products and a growing ecosystem of partners through API integration.

The company is also known globally for pioneering consumer creativity through products like Facetune, one of the world’s most recognized creative brands, which helped introduce AI-powered visual expression to hundreds of millions of users worldwide. We combine deep research, user-first design, and end-to-end execution from concept to final render to bring the future of expression to all.

What you will be doing:

• Be the primary technical point of contact for strategic partners, from early scoping through to implementation handoff. You’ll uncover partner requirements, define POCs, build demos and prototypes, and advise on improving workflows using LTX technologies.
• Architect and implement AI-enhanced solutions that integrate LTX capabilities into partners' existing production pipelines, making them faster, more capable and scalable, and production-ready.
• Translate partner needs into clear internal briefs; surface recurring market signals; assess opportunities for technical feasibility and strategic fit; be a knowledgeable and resourceful thought-partner to the Partnerships team. 
• Collaborate closely with R&D, Engineering, Product, Research, and Marketing to coordinate resources and move partner initiatives forward.
• Stay sharp on developments across LTX and the broader generative AI landscape; keep partners informed of what's relevant.
• Support ad-hoc partner-facing operations and initiatives by offering creative insight, production expertise, and technical know-how. 

Your skills and experience:

• Portfolio required, including AI-native work. Shipped projects, workflows, or prototypes that demonstrate both creative craft and technical fluency. 
• Solid grounding in creative production fundamentals, with hands-on experience across linear content (film/TV, VFX, animation) and interactive/immersive workflows - sufficient to understand how AI can meaningfully improve or extend them. Deep knowledge of tools such as After Effects, Premiere, Houdini, Nuke, DaVinci Resolve, Maya, Blender, Unreal Engine, or Unity.
• Expertise with AI-native tools. Proficiency with ComfyUI is required, including building and maintaining complex multi-node workflows and writing custom nodes. Experience fine-tuning models and training custom LoRAs across stylistic and utility use cases is required.
• Python scripting proficiency, specifically for pipeline development, API integration, and tooling within AI workflows.
• Exceptional communication and presentation skills. You can advise senior creative, technology, and business leaders with clarity and confidence.
• Willingness to travel up to 25% of the time.

Nice to Have

• Experience in a client-facing technical role: solutions engineering, technical consulting, or similar.
• Experience in a Creative Technologist, Technical Director, or similar role bridging creative production and technology.
• Experience working alongside or in support of AI/ML research teams in an applied or translational capacity.

Who You Are

A creative technologist: you have craft sensibility and understand how creative work gets made. You've lived inside production pipelines, know what artists and directors care about, and can earn credibility in both creative and technical rooms.

An AI practitioner: you know what current models can and can't do, and you know how to build with them. You've shipped AI workflows, built extensively in ComfyUI or with code, fine-tuned LoRAs, and understand model deployment well enough to architect reliable solutions.

A resourceful self-starter: you have a track record of creating things from scratch in fast-moving, ambiguous environments. You can prototype, test, and iterate without waiting for perfect information. 

A clear communicator: you move naturally between technical, creative, and business contexts, and can present to artists, engineers, researchers, and business executives alike.

Benefits: 

• Expected salary range is $160,000-$180,000. Actual compensation will vary based on a candidate’s qualifications, experience, and other relevant factors.
• Stock options.
• Health/dental/vision with the majority of premiums paid by the company.
• 401k with company match. (Up to 4%) 
• $3,000 per year is provided for lunch.
• $1,000 Yearly Learning, Development, and Wellness budget.
• Work from home stipend.
• 21 Days of PTO.
• Birthdays off! Take a free day off during your birthday month to celebrate.
• Talented teammates and a strong work culture supporting a healthy work-life balance.

Why join us:

We’re here to push the boundaries of what’s possible with AI and video - not for the buzz, but for the craft, the challenge, and the chance to make something genuinely new.

We believe in an environment where people are encouraged to think, create, and explore. Real impact happens when people are empowered to experiment, evolve, and elevate together.

At Lightricks, every breakthrough starts with great people and a collaborative mindset. If you're looking for a place that combines deep tech, creative energy, and zero buzzword culture, you might be in the right place.

Riot leverages Technical Product Managers (TPMs) in situations where deep technical expertise will meaningfully improve product outcomes. As a Principal TPM focused on Artificial Intelligence, you will not be bound to a single feature team. Instead, you will act as a strategic force multiplier, assessing Riot’s entire product landscape to identify where Machine Learning and Generative AI can fundamentally transform how we make games and how players experience them.

As a Principal Technical Product Manager on Central Product, you will serve as a key lieutenant to leadership, deployed to bring structure and ambition to our most critical Initiatives. You will move fluidly between high-level strategy and deep tactical execution, ensuring that when we commit to an AI initiative, we deliver tangible value to our players and Rioters.

Responsibilities:

• Assess Riot’s product landscape to identify high-impact opportunities where AI can enhance development or player experience.
• Develop and align generative strategy for critical product areas, prioritizing outcomes that create measurable value.
• Bring strategic structure and clarity to our core AI Initiatives to ensure they are set up for long-term success.
• Author strategic proposals and "Build vs. Buy" analyses to secure alignment from executives and game teams.
• Partner with engineering and research teams to ensure AI solutions are robust, scalable, and seamlessly integrated into workflows.
• Lead cross-functional teams through influence, bridging the gap between abstract AI concepts and concrete product requirements.
• Serve as a strategic proxy for leadership, stepping in to manage high-stakes opportunities with autonomy.
• Translate empathy for internal developers and players into AI product experiences that solve genuine pain points.

Required Qualifications: 

• 8+ years of relevant experience in Technical Product Management or a related engineering/research field.
• Demonstrated experience managing products powered by Machine Learning, Large Language Models (LLMs), or Generative AI.
• Proven ability to operate at a Principal level, navigating organizational complexity to drive outcomes without direct authority.
• Strong technical background (CS degree or equivalent experience) allowing for credible debate on tradeoffs with Engineering Leads.
• Experience translating open-ended research or ambiguous technical capabilities into concrete product roadmaps with defined milestones and success metrics.

Desired Qualifications:

• Familiarity with the game development lifecycle, including art toolchains, game engines, and live ops workflows.
• Experience taking a nebulous technology concept and turning it into a shipped product with clear KPIs and metrics.
• Passion for games and a deep understanding of the player experience.

For this role, you'll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes the delight of players. We will be looking at your past studies, experience, and your personal relationship with games. If you embody player empathy and care about players' experiences, this could be your role!

Our Perks:

Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules. We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and a 401k with company match. Check out our benefits pages for more information.

At Riot Games, we put players first. That mission drives every decision in our quest to create games and experiences that make it better to be a player. Whether you’re working directly on a new player-facing experience or you’re supporting the company as a whole, everyone at Riot is part of our mission. And just like in our games, we’re better when we work together. Our goal is to create collaborative teams where you are empowered to bring your unique perspective everyday. If that sounds like the kind of place you want to work, we’re looking forward to your application.

It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act.

Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories:

• Safeguarding confidential and sensitive Company data
• Communication with others, including Rioters and third parties such as vendors, and/or players, including minors
• Accessing Company assets, secure digital systems, and networks
• Ensuring a safe interactive environment for players and other Rioters

These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security. 

Riot leverages Technical Product Managers (TPMs) in situations where deep technical expertise will meaningfully improve product outcomes. As a Principal TPM focused on Artificial Intelligence and Machine Learning applications, you will not be bound to a single feature team. Instead, you will act as a strategic force multiplier, assessing Valorant’s entire product landscape to identify where Machine Learning and Generative AI can fundamentally transform how we make games and how players experience them.

As a Principal Technical Product Manager on Valorant Studio Data, you will serve as a key lieutenant to leadership across the game, identifying product opportunities that will empower fellow Ritoters or surprise and delight players.  You will move fluidly between high-level strategy and deep tactical execution, ensuring that when we commit to an initiative, we deliver tangible value to our players and Rioters.

Responsibilities:

• Assess Valorant’s product landscape to identify high-impact opportunities where AI can enhance development or player experience
• Develop and align generative strategy for critical product areas, prioritizing outcomes that create measurable value
• Bring strategic structure and clarity to our core AI Initiatives to ensure they are set up for long-term success
• Partner with engineering and research teams to ensure AI solutions are robust, scalable, and seamlessly integrated into workflows
• Lead cross-functional teams through influence, bridging the gap between abstract AI concepts and concrete product requirements
• Serve as a strategic proxy for leadership, stepping in to manage high-stakes opportunities with autonomy
• Translate empathy for internal developers and players into AI product experiences that solve genuine pain points

Required Qualifications: 

• 8+ years of relevant experience in Technical Product Management or a related engineering/research field
• Demonstrated experience managing products powered by Machine Learning, Large Language Models (LLMs), or Generative AI
• Proven ability to operate at a Principal level, navigating organizational complexity to drive outcomes without direct authority
• Strong technical background (CS degree or equivalent experience) allowing for credible debate on tradeoffs with Engineering Leads
• Experience translating open-ended research or ambiguous technical capabilities into concrete product roadmaps with defined milestones and success metrics

Desired Qualifications:

• Familiarity with the game development lifecycle, including art toolchains, game engines, and live ops workflows
• Experience taking a nebulous technology concept and turning it into a shipped product with clear KPIs and metrics
• Passion for games and a deep understanding of the player experience

For this role, you'll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes the delight of players. We will be looking at your past studies, experience, and your personal relationship with games. If you embody player empathy and care about players' experiences, this could be your role!

Our Perks:

Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules. We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and a 401k with company match. Check out our benefits pages for more information.

At Riot Games, we put players first. That mission drives every decision in our quest to create games and experiences that make it better to be a player. Whether you’re working directly on a new player-facing experience or you’re supporting the company as a whole, everyone at Riot is part of our mission. And just like in our games, we’re better when we work together. Our goal is to create collaborative teams where you are empowered to bring your unique perspective everyday. If that sounds like the kind of place you want to work, we’re looking forward to your application.

It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act.

Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories:

• Safeguarding confidential and sensitive Company data
• Communication with others, including Rioters and third parties such as vendors, and/or players, including minors
• Accessing Company assets, secure digital systems, and networks
• Ensuring a safe interactive environment for players and other Rioters

These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security. 

Not all heroes wear capes — but plenty of them use toilet paper

Want to challenge yourself at a purpose-led scale up AND make a difference in the world? Come join the revolootion!

Funny name, serious business

We make eco-friendly products and donate 50% of our profits to provide clean water and help build toilets for the billions of people who lack proper access. So far, we’ve contributed over $18 million AUD (roughly $12.5 million USD) to fund sanitation projects around the globe. Basically, we’re really good at doing good. 

With hubs in Australia, the Philippines, China, the US, UK and Europe, our amazing team of 200+ work to make the biggest possible impact for people and the planet. Over the next couple of years, we’re hoping to increase our annual donation tenfold to get us closer to our dream of everyone in the world having access to clean water and sanitation services.

A bit about the role

The Performance Creative Lead, US role exists to ignite customer growth across the United States. You will build and lead a high-impact, US-based performance creative team focused on translating sharp business objectives into compelling, localised paid social assets that drive new customer acquisition.

Key focus areas include

• Strategy & Goal Setting: Leading the development of the team's creative strategy, ensuring alignment with US new customer acquisition goals.
• Creative Execution: Translating complex business and marketing objectives into executable creative strategies , and leading the development of compelling, localised short-form video and static assets for Meta (and other channels over time).
• Testing & Data: Establishing and maintaining a rapid testing cadence , applying deep expertise in paid social creative trends and performance marketing to inform the team’s strategic direction. You will be the team expert in using performance marketing metrics (like CTR, LTV, CAC, ROAS) to directly guide creative decisions.
• Team Leadership: Inspiring, mentoring, and managing the creative team toward performance-driven outputs and fostering a culture of radical candor, continuous feedback, and rapid experimentation.

If you worked here this past month here are some things you might have been involved in

• Co-leading the regional learning plan for creative testing, identifying the sharpest hypotheses to test and evolving our understanding of high-performing assets.
• Developing and owning the creative production roadmap and resource planning for key paid social initiatives.
• Collaborating closely with Growth and Paid Media teams (local and global) to ensure the creative strategy is tightly integrated and executed with excellence.
• Managing competing priorities for yourself and the team, balancing the need for rapid output with the quality required for high-impact creative.
• Taking ownership of the performance creative team's deliverables, ensuring they are completed on time, within scope, and to a high standard.

Let’s talk about you

You are a strategic and data-driven creative leader

You apply your deep expertise in paid social creative trends and performance marketing to inform strategic direction. You are comfortable using generative AI tools to support creative ideation, variation, and accelerating production workflows. You demonstrate strong ideation and storytelling skills, maintaining a high-quality portfolio of social media video content and performance insights.

You are skilled at managing projects, people, and performance

You are skilled at managing multiple creative projects and deadlines simultaneously for both yourself and the team. You are a people leader who coaches others on our values. You inspire, mentor, and manage the creative team toward performance-driven outputs and professional development. You are comfortable leading by example to continuously improve the creative funnel.

You give a crap

Do you want your work to make the world a better place? Do you want to work with other people who feel the same way? What a coincidence — us too!

Why should you work with us?

First off, as a certified B Corp™, we work to make a difference every day while maintaining the highest standards of social and environmental impact. With our most recent score of 125.5 we’re in very good company with other exceptional B Corps around the world.

We also believe that helping to make the world a better place should be rewarded accordingly – that’s why we offer competitive, market informed salaries, meaningful support towards healthcare for our team around the world, generous paid leave, tailored learning and development opportunities, and free toilet paper (yes, you read that right).

Our engagement surveys (thanks Culture Amp!) tell us that our team is really proud (95%) to work for Who Gives A Crap and, well, we couldn’t be more proud of that.

Have you made it this far?

If you’re still reading, we think there’s a strong chance you might be our kind of person. Here’s the thing, though — research suggests that 60% of women and underrepresented folks might have already talked themselves out of applying. Even if you don’t check every box above, we want to encourage you to introduce yourself. We believe a diversity of perspectives and experiences makes a team stronger — and the stronger our team, the closer we are to delivering toilets and clean water for all.

Snapshot

We are seeking a highly motivated Research Engineer (L5) with a strong background in multi-modal modelling for humans and a focus on speech & audio/visual to join the effort within Google DeepMind's Frontier AI unit. This role is pivotal in developing foundational multimodal AI capabilities to understand, generate, and protect human likeness. As a key contributor, you will design and implement cutting-edge models and frameworks, pushing the boundaries of AI to enable foundational capabilities for human-centric understanding and generation. This is a unique opportunity to contribute to impactful research and advance Google DeepMind's mission towards Artificial General Intelligence (AGI).

About us

Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence and ultimately achieve Artificial General Intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.

The effort is a part of Google DeepMind's Frontier AI unit. The team aims to build holistic representation encompassing a full spectrum of human understanding. We develop systems to provide perception skills critical for person-centric applications, which is crucial for enabling AI to interact naturally & seamlessly, depict humans accurately &  responsibly in generative AI, and build trustworthy & resilient systems that can detect and prevent misuse like deepfakes and impersonation.

The role

You will drive outcomes for critical technical components aimed at advancing our capabilities in multimodal human understanding. You will play a critical role in developing and deploying models that can provide accurate human understanding across multiple modalities (e.g., visual appearance, voice, dynamics, etc), while also building robust defenses against sophisticated AI-driven manipulation and impersonation.

This role involves tackling complex, ambiguous problems with no obvious "best" solution, requiring independent judgment and a proactive approach to exploring multiple technical avenues. You will be instrumental in shaping the technical direction for core components of the effort. Your contribution will lead to key breakthrough and impactful landings within GDM and across Google products, ensuring our technologies are both groundbreaking and responsibly deployed.

Key responsibilities

• Advance multimodal human representations & understanding : Research and implement novel models and other multimodal techniques for a more holistic understanding of humans across visual, audio, and textual data.
• Conduct applied research: Conduct experimental research cycles from hypothesis to deployment.
• Drive technical projects: Take ownership of substantial technical projects within the effort, from ideation and design to implementation and evaluation, often involving cross-functional collaboration.
• Contribute to Infrastructure: Inform and contribute to the development of scalable and efficient research infrastructure for multimodal human understanding models and datasets.
• Design and execute strategies for tuning and adapting VLMs and other foundation models for specific tasks

About you

In order to set you up for success as a Research Engineer at Google DeepMind, we look for the following skills and experience:

Requirements:

• PhD degree in Computer Science, Machine Learning, or a related technical field with 3+ years of relevant experience.
• Experience in developing machine learning models, such as audio & speech-visual models.
• Experience in working with and tuning large-scale vision language models.
• Strong programming skills in Python and experience with at least one major deep learning framework (e.g., JAX)
• Experience conducting independent research and development, including experimental design, implementation, and analysis.

In addition, the following would be an advantage:

• Experience with Generative AI techniques and architectures.
• Familiarity with Reinforcement Learning or alignment methods.
• A track record of publications in top-tier AI/ML conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV).
• Experience with multimodal learning, integrating information from different data types (e.g., vision, audio, text).
• Understanding of privacy-preserving machine learning or responsible AI practices.

The US base salary range for this full-time position is between 174,000 USD - 252,000 USD + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.

Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy.

At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

This role follows a hybrid schedule, with three days per week onsite in our Culver City or San Francisco office.

The opportunity

We're hiring a Senior Cloud Infrastructure Engineer to join the Cloud Infrastructure & Platform (CIN) team at Altruist. This is a high-impact, senior individual contributor role responsible for architecting, building, and operating the AWS-based infrastructure that powers our broker-dealer and clearing platform. You will own critical infrastructure domains end-to-end and drive technical decisions that affect the reliability, security, and scalability of systems handling real financial transactions.

As the industry evolves rapidly with generative AI and agentic workflows, we need engineers who combine deep AWS and Kubernetes expertise with the vision and initiative to define how AI/ML tools and patterns can transform infrastructure operations, developer productivity, and platform resilience. This role carries significant technical influence — you will shape infrastructure strategy, lead complex cross-functional initiatives, and raise the bar for engineering practices across the organization.

What sets this role apart

This is not a ticket-driven infrastructure role. At the Senior-to-Staff level, we expect you to:

• Own domains, not just tasks. You will be the technical authority for critical infrastructure areas (e.g., EKS platform, observability strategy, DR architecture, or AI infrastructure) and drive their roadmap.
• Define technical direction. Author architectural decision records (ADRs), propose infrastructure standards, and influence engineering-wide technology choices through design reviews and RFCs.
• Lead without a title. Drive cross-team initiatives, align stakeholders, unblock other engineers, and represent infrastructure perspectives in leadership discussions and planning.
• Multiply the team. Elevate the entire CIN team through mentorship, code reviews, knowledge sharing, and building reusable frameworks and golden paths that scale beyond your individual output.
• Bridge infrastructure and business. Translate complex technical trade-offs into clear recommendations for engineering leadership, product teams, and compliance stakeholders.

Your impact

• Cloud Infrastructure Architecture & Platform Engineering
  • Architect, deploy, and operate production AWS infrastructure supporting high-availability financial services workloads (EKS, MSK, RDS/Aurora PostgreSQL, OpenSearch, ElastiCache, S3, CloudFront, and more).
  • Own and evolve the Infrastructure as Code (IaC) strategy using Terraform — define module standards, enforce code review practices, and drive adoption of reusable patterns across teams.
  • Lead Kubernetes (EKS) platform strategy, including cluster upgrades, node group architecture, Helm chart governance, service mesh evolution, and workload autoscaling policies.
  • Design and drive CI/CD platform improvements (GitHub Actions, ArgoCD, or similar) to enable safe, fast, and self-service deployments for application engineering teams.
  • Architect and validate disaster recovery (DR) strategies, including cross-region failover designs, backup automation, and leading DR simulation exercises.
  • Lead infrastructure design reviews and architectural discussions; ensure solutions meet scalability, security, and compliance requirements before implementation.
• Reliability, Observability & Operational Excellence
  • Define and drive the observability strategy across the platform (Datadog, Prometheus, Grafana, CloudWatch, OpenSearch) — including SLO/SLI frameworks, alerting standards, and distributed tracing.
  • Serve as a senior on-call escalation point; lead root-cause analysis on critical production incidents and drive systemic improvements through blameless post-mortems.
  • Own monthly resource saturation reviews and capacity planning processes; proactively identify scaling needs and present findings to engineering leadership.
  • Drive cloud cost optimization strategy: FinOps practices, Reserved Instances/Savings Plans analysis, vendor spend governance, and accountability frameworks across teams.
• Security, Compliance & Networking
  • Define and enforce security architecture standards across AWS environments: IAM policy governance, VPC design patterns, encryption strategies, secrets management (Vault, AWS Secrets Manager), and vulnerability remediation workflows.
  • Partner with Security, Compliance, and Audit teams to ensure infrastructure meets FINRA, SEC, SOC 2, and other regulatory requirements — and proactively identify gaps before they become findings.
  • Own networking architecture decisions including VPC topology, Transit Gateway strategy, VPN configurations, load balancer patterns (ALB/NLB), CDN optimization (Fastly/CloudFront), and DNS management.
• AI/ML Infrastructure & Developer Productivity
  • Define the strategy for evaluating, integrating, and governing AI-powered developer tools (e.g., Cursor AI, GitHub Copilot, CodeRabbit) across the engineering organization — including usage analytics, cost optimization, security review, and policy frameworks.
  • Architect infrastructure for AI/ML workloads: GPU-enabled compute, SageMaker endpoints, Bedrock integration, vector databases, and data pipeline orchestration.
  • Lead the adoption of AI-driven automation for infrastructure operations — intelligent alerting, anomaly detection, auto-remediation, and AIOps patterns — moving from exploration to production integration.
  • Build and champion internal platforms and golden paths that leverage generative AI to improve developer experience, reduce operational toil, and accelerate delivery velocity.
• Technical Leadership & Collaboration
  • Act as a trusted technical advisor to the Director of Engineering and engineering leadership on infrastructure strategy, trade-offs, and investment priorities.
  • Lead cross-functional initiatives spanning application engineering, data, security, and DevSecOps teams — driving alignment on complex multi-team infrastructure projects.
  • Represent the CIN team in architecture review boards, incident response leadership, and engineering-wide planning sessions.
  • Author and maintain comprehensive technical documentation, runbooks, ADRs, and operational procedures that serve as organizational knowledge assets.
  • Mentor senior and mid-level engineers; conduct thorough design and code reviews; actively contribute to hiring and onboarding processes for the CIN team.

What you bring

• 5+ years of hands-on experience in cloud infrastructure engineering, with deep, production-proven expertise in AWS.
• Track record of owning and driving infrastructure initiatives end-to-end — from design and architecture through implementation, rollout, and operational excellence.
• Expert-level proficiency with Terraform, including module design, state management strategies, and establishing IaC standards for engineering teams.
• Extensive production experience operating Kubernetes (EKS strongly preferred) at scale — cluster lifecycle management, multi-tenancy patterns, Helm governance, and GitOps workflows.
• Strong Linux systems engineering skills and advanced scripting proficiency (Python, Bash, or Go).
• Deep expertise in CI/CD platforms (GitHub Actions, ArgoCD, Jenkins) with experience designing deployment strategies for multi-service architectures.
• Expert-level understanding of cloud networking (VPC architecture, Transit Gateway, peering, DNS, load balancing) and security (IAM, KMS, WAF, GuardDuty, Secrets Manager).
• Proven experience designing and operating observability platforms (Datadog, Prometheus/Grafana, CloudWatch, OpenSearch/ELK) at organizational scale.
• Strong experience with database infrastructure and data layer architecture (Aurora PostgreSQL, RDS, ElastiCache/Redis, OpenSearch, DynamoDB).
• Demonstrated ability to lead disaster recovery planning, execute DR simulations, and design HA architecture patterns for mission-critical systems.
• Excellent technical communication skills — ability to write clear ADRs, present to leadership, and translate infrastructure complexity for non-technical stakeholders.
• Proven track record of mentoring engineers and elevating team capabilities through knowledge sharing, design reviews, and tooling improvements.

Bonus points

• 7+ years of infrastructure or platform engineering experience, including 3+ years operating at a senior or staff level.
• Experience in financial services, fintech, broker-dealer, or other heavily regulated industries with FINRA/SEC compliance requirements.
• AWS certifications at the Professional or Specialty level: Solutions Architect Professional, DevOps Engineer Professional, Security Specialty, or Machine Learning Specialty.
• Experience with event streaming platforms at scale (Amazon MSK / Apache Kafka) including cluster operations, partition strategy, and consumer group management.
• Hands-on experience with API gateway management and platform design (Kong, AWS API Gateway).
• Demonstrated experience with AI/ML infrastructure: provisioning GPU compute, SageMaker/Bedrock integration, vector databases, MLOps pipelines, or AIOps automation in production.
• Experience defining and executing organizational rollout strategies for AI developer tools, including governance frameworks, usage analytics, and cost management.
• Proficiency with policy-as-code frameworks (OPA/Rego, Sentinel, Kyverno) for infrastructure governance and compliance automation.
• FinOps certification or demonstrated experience leading cloud cost optimization programs at scale.
• Experience authoring RFCs, ADRs, or technical strategy documents that influenced engineering-wide decisions.
• Contributions to open-source projects, conference talks, or published technical writing.

Xometry is seeking a Principal Data & ML Scientist to join our Generative AI team. The ideal candidate will have a passion for advancing machine learning and generative AI capabilities, particularly for fine-tuning generative and language models, multimodal document understanding, and structured data extraction. This person will leverage their expertise in generative models and data science to develop and optimize innovative AI-driven solutions that enhance Xometry's service offerings.

Responsibilities: 

• Provide technical leadership to the Generative AI team, setting technical direction, defining best practices, and ensuring the team follows industry standards in AI and ML development.
• Lead strategic planning and roadmap development for generative AI initiatives, identifying high-impact projects and aligning them with Xometry’s business objectives.
• Develop and deploy generative AI models and large language models (LLMs) for multimodal document processing, focusing on extracting structured data from technical drawings, purchasing orders, and other complex documents.
• Lead the exploration and development of innovative text and image-based data processing solutions, including training and fine-tuning generative and language models.
• Design and implement efficient workflows for data preparation, cleaning, and augmentation to support the training of generative AI models.
• Utilize cloud platforms (e.g., Amazon Web Services) for large-scale data processing, model training, and deployment.
• Collaborate with cross-functional teams, including engineering and business teams, to align generative AI solutions with business needs and drive impactful applications.
• Mentor and guide team members on advanced machine learning techniques, model architecture design, and problem-solving strategies to elevate the team’s technical capabilities.
• Continuously experiment and iterate on model performance, tuning architectures and parameters to improve accuracy and efficiency in a fast-paced, agile environment.
• Stay updated with the latest research in generative AI, deep learning, and multimodal data processing, incorporating best practices and advancements into model development.

Qualifications:

• A bachelor’s degree is required, but an advanced degree (M.S. or PhD) in computer science, machine learning, AI, or a related field is highly preferred.
• 7+ years of experience in data science and machine learning, focusing on generative models, LLMs, or computer vision.
• Expertise in large-scale language and vision models (e.g., Transformers, GPT, VLMs).
• Experience with multimodal data processing (e.g., combining text, image, and 3D data).
• Proficient in Python, including key libraries such as PyTorch, TensorFlow, pandas, and numpy.
• Strong background in probability, statistics, and optimization techniques relevant to generative modeling.
• Familiarity with cloud computing resources and tools for model training and deployment (e.g., AWS SageMaker).
• Familiar with software engineering principles, including version control, reproducibility, and continuous integration.
• Experience in the manufacturing, supply chain, or similar industries is a plus.

The estimated base salary range for new hires into this role is $164,000- $213,000 annually + annual bonus depending on factors such as job-related skills, relevant experience, and location. We also offer a competitive benefits package, including 401(k) match, medical, dental and vision insurance; life and disability insurance; generous paid time off including vacation, sick leave, floating and fixed holidays, maternity and bonding leave; EAP, other wellbeing resources; and much more.

#LI-Hybrid

This role follows a hybrid schedule, with three days per week onsite in our San Francisco FiDi office.

The opportunity

We're hiring a Senior Cloud Infrastructure Engineer to join the Cloud Infrastructure & Platform (CIN) team at Altruist. This is a high-impact, senior individual contributor role responsible for architecting, building, and operating the AWS-based infrastructure that powers our broker-dealer and clearing platform. You will own critical infrastructure domains end-to-end and drive technical decisions that affect the reliability, security, and scalability of systems handling real financial transactions.

As the industry evolves rapidly with generative AI and agentic workflows, we need engineers who combine deep AWS and Kubernetes expertise with the vision and initiative to define how AI/ML tools and patterns can transform infrastructure operations, developer productivity, and platform resilience. This role carries significant technical influence — you will shape infrastructure strategy, lead complex cross-functional initiatives, and raise the bar for engineering practices across the organization.

What sets this role apart

This is not a ticket-driven infrastructure role. At the Senior-to-Staff level, we expect you to:

• Own domains, not just tasks. You will be the technical authority for critical infrastructure areas (e.g., EKS platform, observability strategy, DR architecture, or AI infrastructure) and drive their roadmap.
• Define technical direction. Author architectural decision records (ADRs), propose infrastructure standards, and influence engineering-wide technology choices through design reviews and RFCs.
• Lead without a title. Drive cross-team initiatives, align stakeholders, unblock other engineers, and represent infrastructure perspectives in leadership discussions and planning.
• Multiply the team. Elevate the entire CIN team through mentorship, code reviews, knowledge sharing, and building reusable frameworks and golden paths that scale beyond your individual output.
• Bridge infrastructure and business. Translate complex technical trade-offs into clear recommendations for engineering leadership, product teams, and compliance stakeholders.

Your impact

• Cloud Infrastructure Architecture & Platform Engineering
  • Architect, deploy, and operate production AWS infrastructure supporting high-availability financial services workloads (EKS, MSK, RDS/Aurora PostgreSQL, OpenSearch, ElastiCache, S3, CloudFront, and more).
  • Own and evolve the Infrastructure as Code (IaC) strategy using Terraform — define module standards, enforce code review practices, and drive adoption of reusable patterns across teams.
  • Lead Kubernetes (EKS) platform strategy, including cluster upgrades, node group architecture, Helm chart governance, service mesh evolution, and workload autoscaling policies.
  • Design and drive CI/CD platform improvements (GitHub Actions, ArgoCD, or similar) to enable safe, fast, and self-service deployments for application engineering teams.
  • Architect and validate disaster recovery (DR) strategies, including cross-region failover designs, backup automation, and leading DR simulation exercises.
  • Lead infrastructure design reviews and architectural discussions; ensure solutions meet scalability, security, and compliance requirements before implementation.
• Reliability, Observability & Operational Excellence
  • Define and drive the observability strategy across the platform (Datadog, Prometheus, Grafana, CloudWatch, OpenSearch) — including SLO/SLI frameworks, alerting standards, and distributed tracing.
  • Serve as a senior on-call escalation point; lead root-cause analysis on critical production incidents and drive systemic improvements through blameless post-mortems.
  • Own monthly resource saturation reviews and capacity planning processes; proactively identify scaling needs and present findings to engineering leadership.
  • Drive cloud cost optimization strategy: FinOps practices, Reserved Instances/Savings Plans analysis, vendor spend governance, and accountability frameworks across teams.
• Security, Compliance & Networking
  • Define and enforce security architecture standards across AWS environments: IAM policy governance, VPC design patterns, encryption strategies, secrets management (Vault, AWS Secrets Manager), and vulnerability remediation workflows.
  • Partner with Security, Compliance, and Audit teams to ensure infrastructure meets FINRA, SEC, SOC 2, and other regulatory requirements — and proactively identify gaps before they become findings.
  • Own networking architecture decisions including VPC topology, Transit Gateway strategy, VPN configurations, load balancer patterns (ALB/NLB), CDN optimization (Fastly/CloudFront), and DNS management.
• AI/ML Infrastructure & Developer Productivity
  • Define the strategy for evaluating, integrating, and governing AI-powered developer tools (e.g., Cursor AI, GitHub Copilot, CodeRabbit) across the engineering organization — including usage analytics, cost optimization, security review, and policy frameworks.
  • Architect infrastructure for AI/ML workloads: GPU-enabled compute, SageMaker endpoints, Bedrock integration, vector databases, and data pipeline orchestration.
  • Lead the adoption of AI-driven automation for infrastructure operations — intelligent alerting, anomaly detection, auto-remediation, and AIOps patterns — moving from exploration to production integration.
  • Build and champion internal platforms and golden paths that leverage generative AI to improve developer experience, reduce operational toil, and accelerate delivery velocity.
• Technical Leadership & Collaboration
  • Act as a trusted technical advisor to the Director of Engineering and engineering leadership on infrastructure strategy, trade-offs, and investment priorities.
  • Lead cross-functional initiatives spanning application engineering, data, security, and DevSecOps teams — driving alignment on complex multi-team infrastructure projects.
  • Represent the CIN team in architecture review boards, incident response leadership, and engineering-wide planning sessions.
  • Author and maintain comprehensive technical documentation, runbooks, ADRs, and operational procedures that serve as organizational knowledge assets.
  • Mentor senior and mid-level engineers; conduct thorough design and code reviews; actively contribute to hiring and onboarding processes for the CIN team.

What you bring

• 5+ years of hands-on experience in cloud infrastructure engineering, with deep, production-proven expertise in AWS.
• Track record of owning and driving infrastructure initiatives end-to-end — from design and architecture through implementation, rollout, and operational excellence.
• Expert-level proficiency with Terraform, including module design, state management strategies, and establishing IaC standards for engineering teams.
• Extensive production experience operating Kubernetes (EKS strongly preferred) at scale — cluster lifecycle management, multi-tenancy patterns, Helm governance, and GitOps workflows.
• Strong Linux systems engineering skills and advanced scripting proficiency (Python, Bash, or Go).
• Deep expertise in CI/CD platforms (GitHub Actions, ArgoCD, Jenkins) with experience designing deployment strategies for multi-service architectures.
• Expert-level understanding of cloud networking (VPC architecture, Transit Gateway, peering, DNS, load balancing) and security (IAM, KMS, WAF, GuardDuty, Secrets Manager).
• Proven experience designing and operating observability platforms (Datadog, Prometheus/Grafana, CloudWatch, OpenSearch/ELK) at organizational scale.
• Strong experience with database infrastructure and data layer architecture (Aurora PostgreSQL, RDS, ElastiCache/Redis, OpenSearch, DynamoDB).
• Demonstrated ability to lead disaster recovery planning, execute DR simulations, and design HA architecture patterns for mission-critical systems.
• Excellent technical communication skills — ability to write clear ADRs, present to leadership, and translate infrastructure complexity for non-technical stakeholders.
• Proven track record of mentoring engineers and elevating team capabilities through knowledge sharing, design reviews, and tooling improvements.

Bonus points

• 7+ years of infrastructure or platform engineering experience, including 3+ years operating at a senior or staff level.
• Experience in financial services, fintech, broker-dealer, or other heavily regulated industries with FINRA/SEC compliance requirements.
• AWS certifications at the Professional or Specialty level: Solutions Architect Professional, DevOps Engineer Professional, Security Specialty, or Machine Learning Specialty.
• Experience with event streaming platforms at scale (Amazon MSK / Apache Kafka) including cluster operations, partition strategy, and consumer group management.
• Hands-on experience with API gateway management and platform design (Kong, AWS API Gateway).
• Demonstrated experience with AI/ML infrastructure: provisioning GPU compute, SageMaker/Bedrock integration, vector databases, MLOps pipelines, or AIOps automation in production.
• Experience defining and executing organizational rollout strategies for AI developer tools, including governance frameworks, usage analytics, and cost management.
• Proficiency with policy-as-code frameworks (OPA/Rego, Sentinel, Kyverno) for infrastructure governance and compliance automation.
• FinOps certification or demonstrated experience leading cloud cost optimization programs at scale.
• Experience authoring RFCs, ADRs, or technical strategy documents that influenced engineering-wide decisions.
• Contributions to open-source projects, conference talks, or published technical writing.

The Data Science team, a part of the broader StubHub Data organization, is looking for an experienced, senior-level Data Science Manager to lead a growing team (currently 6, ranging from entry level DS to Staff+) that covers a wide range of data science disciplines.

StubHub is the largest secondary ticketing marketplace in the world, generating massive amounts of consumer data that are leveraged to tackle many unique and interesting predictive and inference problems across user acquisition, product recommendations, pricing optimization, ticket fulfillment mitigation, and business forecasting. As a Data Science Manager, you will need to work closely with business leaders and convert their long-term strategic goals into tangible machine learning projects executed by your team at a day-to-day level. Understanding when to provide oversight from a technical perspective, while being able to grow individuals, will be paramount in your team's long-term success.

You will also be responsible for the technical and personal growth of your team members, developing talent density through focused mentorship, strategic career development, and execution excellence. There will be a need for planning of team structure and growth as we put more investment into ML, especially understanding the best ways of building and applying generative AI solutions within our product.

You will be joining at a critical time for the Data Science practice and the company – while the value of this discipline has been established and there’s a high performing team in place, we are far from steady state. Key areas of investment from a vision and team planning perspective include establishing new pockets of deep technical expertise (e.g. causal inference, graph ML), advocating for best-in-class ML tooling/platform, and widening the reach of data science company-wide. As a senior leader of this team, you will be in charge of shaping and materializing that vision.

Location: Hybrid (3 days in office/2 days remote) – New York, NY or Century City, CA 

What You'll Do

• Technical project scoping and planning
• Partner with cross-functional stakeholders across the business, executives, and data team
• Technical review and architecture oversight
• Recruitment and end-to-end talent growth development: Performance reviews, promotion recommendations, 360 feedback, etc
• Surface infrastructure needs and onboard solutions

What You've Done

• 8 - 10 years of relevant machine learning/data science in a fast-paced, high growth environment
• 8 - 10 years of experience managing high performant data science team.
• Strong programming and analytical ability with expertise in SQL and Python (TensorFlow, scipy, scikit-learn, PyTorch, statsmodels)
• Experience with modern workflow orchestration used in machine learning, e.g.,Metaflow, ZenFlow, Airflow
  
  
• Nice to Haves
  • Worked at a consumer tech company
  • Experience with GenAI/LLM/Agentic workflows in a production setting
  • Hands-on experience with graph based machine learning and recommendation systems

What We Offer

• Accelerated Growth Environment: An environment designed for swift skill and knowledge enhancement, where you have the autonomy to lead experiments and tests on a massive scale.
• Top Tier Compensation Package: Competitive base, equity, and upside that tracks with your impact.
• Flexible Time Off: Enjoy unlimited Flex Time Off, giving you the flexibility to manage your schedule and take time to recharge as needed.
• Comprehensive Benefits Package: Prioritize your well-being with a comprehensive benefits package, featuring 401k, and premium Health, Vision, and Dental Insurance options.

The Data Science team, a part of the broader StubHub Data organization, is looking for an experienced, senior-level Data Science Manager to lead a growing team (currently 6, ranging from entry level DS to Staff+) that covers a wide range of data science disciplines.

StubHub is the largest secondary ticketing marketplace in the world, generating massive amounts of consumer data that are leveraged to tackle many unique and interesting predictive and inference problems across user acquisition, product recommendations, pricing optimization, ticket fulfillment mitigation, and business forecasting. As a Data Science Manager, you will need to work closely with business leaders and convert their long-term strategic goals into tangible machine learning projects executed by your team at a day-to-day level. Understanding when to provide oversight from a technical perspective, while being able to grow individuals, will be paramount in your team's long-term success.

You will also be responsible for the technical and personal growth of your team members, developing talent density through focused mentorship, strategic career development, and execution excellence. There will be a need to plan team structure and growth as we invest more in ML, especially to understand the best ways to build and apply generative AI solutions within our product.

You will be joining at a critical time for the Data Science practice and the company – while the value of this discipline has been established and there’s a high-performing team in place, we are far from steady state. Key areas of investment from a vision and team planning perspective include establishing new pockets of deep technical expertise (e.g., causal inference, graph ML), advocating for best-in-class ML tooling/platform, and widening the reach of data science company-wide. As a senior leader on this team, you will be responsible for shaping and realizing that vision.

Location: Hybrid (3 days in office/2 days remote) – New York, NY or Century City, CA 

What You'll Do

• Technical project scoping and planning
• Partner with cross-functional stakeholders across the business, executives, and data team
• Technical review and architecture oversight
• Recruitment and end-to-end talent growth development: Performance reviews, promotion recommendations, 360 feedback, etc
• Surface infrastructure needs and onboard solutions

What You've Done

• 8 - 10 years of relevant machine learning/data science in a fast-paced, high growth environment
• 8 - 10 years of experience managing high performant data science team.
• Strong programming and analytical ability with expertise in SQL and Python (TensorFlow, scipy, scikit-learn, PyTorch, statsmodels)
• Experience with modern workflow orchestration used in machine learning, e.g.,Metaflow, ZenFlow, Airflow
  
  
• Nice to Haves:
  • Worked at a consumer tech company
  • Experience with GenAI/LLM/Agentic workflows in a production setting
  • Hands-on experience with graph-based machine learning and recommendation systems

What We Offer

• Accelerated Growth Environment: An environment designed for swift skill and knowledge enhancement, where you have the autonomy to lead experiments and tests on a massive scale.
• Top Tier Compensation Package: Competitive base, equity, and upside that tracks with your impact.
• Flexible Time Off: Enjoy unlimited Flex Time Off, giving you the flexibility to manage your schedule and take time to recharge as needed.
• Comprehensive Benefits Package: Prioritize your well-being with a comprehensive benefits package, featuring 401k, and premium Health, Vision, and Dental Insurance options.

We are seeking a seasoned Technical Leader to build and scale the foundational compute infrastructure that powers our state-of-the-art AI models—from multimodal training data pipelines to high-throughput, low-latency video generation.

Responsibilities

You will be the core engineer responsible for building the robust, efficient, and scalable platform that enables our research and production teams to rapidly iterate on HeyGen's generative video models. Your contributions will directly impact model performance, developer productivity, and the final quality of every AI-generated video.

• Optimize GPU Utilization: Design and implement mechanisms to aggressively optimize GPU and cluster utilization across thousands of devices for inference, training, data processing and large-scale deployment of our state-of-art video generation models.

• Develop Large-Scale AI Job Framework: Build highly scalable, reliable frameworks for launching and managing massive, heterogeneous compute jobs, including multi-modal high-volume data ingestion/processing, distributed model training, and continuous evaluation/benchmarking.

• Enhance Observability: Develop world-class observability, tracing, and visualization tools for our compute cluster to ensure reliability, diagnose performance bottlenecks (e.g., memory, bandwidth, communication).

• Accelerate Pipelines: Collaborate closely with AI researchers and AI engineers to integrate innovative acceleration techniques (e.g., custom CUDA kernels, distributed training libraries) into production-ready, scalable training and inference pipelines.

• Infrastructure Management: Champion the adoption and optimization of modern cloud and container technologies (Kubernetes, Ray) for elastic, cost-efficient scaling of our distributed systems.

Minimum Requirements

We are looking for a highly motivated engineer with deep experience operating and optimizing AI infrastructure at scale.

• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

• 5+ years of full-time industry experience in large-scale MLOps, AI infrastructure, or HPC systems.

• Experience with data frameworks and standards like Ray, Apache Spark, LanceDB

• Strong proficiency in Python and a high-performance language such as C++  for developing core infrastructure components.

• Deep understanding and hands-on experience with modern orchestration and distributed computing frameworks such as Kubernetes and Ray.

• Experience with core ML frameworks such as PyTorch, TensorFlow, or JAX.

Preferred Qualifications

• Master's or PhD in Computer Science or a related technical field.

• Demonstrated Tech Lead experience, driving projects from conceptual design through to production deployment across cross-functional teams.

• Prior experience building infrastructure specifically for Generative AI models (e.g., diffusion models, GANs, or large language models) where cost and latency are critical.

• Proven background in building and operating large-scale data infrastructure (e.g., Ray, Apache Spark) to manage petabytes of multi-modal data (video, audio, text).

• Expertise in GPU acceleration and deep familiarity with low-level compute programming, including CUDA, NCCL, or similar technologies for efficient inter-GPU communication.

What HeyGen Offers

• Competitive salary and benefits package.
• Dynamic and inclusive work environment.
• Opportunities for professional growth and advancement.
• Collaborative culture that values innovation and creativity.
• Access to the latest technologies and tools.

HeyGen is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

We are seeking a seasoned Software Engineer to build and scale the foundational compute infrastructure that powers our state-of-the-art AI models—from multimodal training data pipelines to high-throughput, low-latency video generation.

Responsibilities

You will be the core engineer responsible for building the robust, efficient, and scalable platform that enables our research and production teams to rapidly iterate on HeyGen's generative video models. Your contributions will directly impact model performance, developer productivity, and the final quality of every AI-generated video.

• Optimize GPU Utilization: Design and implement mechanisms to aggressively optimize GPU and cluster utilization across thousands of devices for inference, training, data processing and large-scale deployment of our state-of-art video generation models.

• Develop Large-Scale AI Job Framework: Build highly scalable, reliable frameworks for launching and managing massive, heterogeneous compute jobs, including multi-modal high-volume data ingestion/processing, distributed model training, and continuous evaluation/benchmarking.

• Enhance Observability: Develop world-class observability, tracing, and visualization tools for our compute cluster to ensure reliability, diagnose performance bottlenecks (e.g., memory, bandwidth, communication).

• Accelerate Pipelines: Collaborate closely with AI researchers and AI engineers to integrate innovative acceleration techniques (e.g., custom CUDA kernels, distributed training libraries) into production-ready, scalable training and inference pipelines.

• Infrastructure Management: Champion the adoption and optimization of modern cloud and container technologies (Kubernetes, Ray) for elastic, cost-efficient scaling of our distributed systems.

Minimum Requirements

We are looking for a highly motivated engineer with deep experience operating and optimizing AI infrastructure at scale.

• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

• 5+ years of full-time industry experience in large-scale MLOps, AI infrastructure, or HPC systems.

• Experience with data frameworks and standards like Ray, Apache Spark, LanceDB

• Strong proficiency in Python and a high-performance language such as C++  for developing core infrastructure components.

• Deep understanding and hands-on experience with modern orchestration and distributed computing frameworks such as Kubernetes and Ray.

• Experience with core ML frameworks such as PyTorch, TensorFlow, or JAX.

Preferred Qualifications

• Master's or PhD in Computer Science or a related technical field.

• Demonstrated Tech Lead experience, driving projects from conceptual design through to production deployment across cross-functional teams.

• Prior experience building infrastructure specifically for Generative AI models (e.g., diffusion models, GANs, or large language models) where cost and latency are critical.

• Proven background in building and operating large-scale data infrastructure (e.g., Ray, Apache Spark) to manage petabytes of multi-modal data (video, audio, text).

• Expertise in GPU acceleration and deep familiarity with low-level compute programming, including CUDA, NCCL, or similar technologies for efficient inter-GPU communication.

What HeyGen Offers

• Competitive salary and benefits package.
• Dynamic and inclusive work environment.
• Opportunities for professional growth and advancement.
• Collaborative culture that values innovation and creativity.
• Access to the latest technologies and tools.

HeyGen is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Position Summary

A Software Engineer with data engineering responsibilities to bridge the gap between core application development and large-scale data infrastructure.  You will help build the data foundational layers for our next-generation features. This role is not just about moving data—it’s about enabling AI models to function in real-time, building robust pipelines for multimedia, and powering engaging user experiences. This team is currently working on cutting-edge features including PPT-to-video converters and interactive, conversational video capabilities.

Core Responsibilities

• Build & Scale Data Pipelines: Design, develop, and maintain robust batch and real-time data pipelines (using Python, Go, Spark, Kafka) that ingest and transform massive multi-modal data—text, audio, and video—to train and run AI models.
• Power Intelligent Features: Collaborate with ML engineers to implement data structures and APIs for new, exciting features like PPT-to-video automation and interactive AI avatars that require low-latency data fetching.
• Data Lakehouse Infrastructure: Architect and manage data lakehouse solutions (e.g., Snowflake, Databricks, Apache Iceberg) to store and query unstructured media data efficiently, enhancing storage and computation efficiency.
• Data Reliability & Observability: Implement data quality checks, data contracts, and monitoring to ensure high reliability of data, preventing downtime in production video generation.
• Productize Data: Transform raw data into structured, actionable data products that can be easily consumed by front-end applications, API endpoints, and AI agents.

Qualifications

• Bachelor’s/Master’s degree in Computer Science, Engineering, or a related field.
• 3-5+ years of experience as a Backend Software Engineer with heavy data processing responsibilities.
• Strong proficiency in Python (for ETL/scripting) and SQL (for data modeling).
• Experience with cloud platforms (AWS/GCP) and data technologies like Kafka, Spark, and Snowflake/Databricks.
• Experience or interest in Computer Vision/Generative AI data processing.
• Proactive, "owner" mindset; ability to operate in a fast-paced, startup environment.

What HeyGen Offers

• Competitive salary and benefits package.
• Dynamic and inclusive work environment focused on innovation and creativity.
• Opportunities for professional growth and skill development.
• Collaborative culture that values teamwork and employee input.
• Access to state-of-the-art technologies and tools.

Salary Range
$180,000 – $220,000 + equity + benefits
Please note that the salary information is a general guideline only.  HeyGen considers factors such as scope and responsibilities of the position, candidate's work experience, education/training, key skills, and internal equity, as well as location, market and business considerations when extending an offer.  As part of our total rewards package, HeyGen offers comprehensive benefits including equity, a 401k plan, health benefits, generous PTO, a parental leave program and emotional health resources.

HeyGen is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Join us at HeyGen and be part of a team that's reshaping the world of video creation through innovative technology!

Driving Product Innovation with Advanced Computer Vision Technology

HeyGen is a dynamic startup at the forefront of revolutionizing video content with state-of-the-art artificial intelligence technology. With a robust track record of growth and a proven business model, we are rapidly carving out a leadership position in the AI-powered video creation industry. We are in search of passionate Research Scientists with a specialization in Computer Vision to propel our mission forward. If you are eager to deploy your advanced skills to disrupt and redefine the video creation and interaction experience, your next big opportunity awaits with us.

Key Responsibilities:

• Applied Innovation and Product Development: Harness your knowledge of generative models, including GANs, Diffusion models, and other multi-modal models, to propel our video creation tools forward. Your role involves translating state-of-the-art research into innovative features that directly enhance our user experience and set our products apart.

• Real-World Solutions: Channel your research capabilities to develop scalable solutions that have a significant impact on our platform, making the video creation process more intuitive, powerful, and accessible to our users.

• Collaborative Engineering and Growth: Engage with a diverse team where collaborative efforts lead to extraordinary outcomes. Embrace an environment that promotes learning, mentorship, and teamwork, furthering both personal development and the advancement of our technology.

Qualifications:

• A Master's or PhD in Computer Science, Engineering, or a related field
• 1-3 years of experience in machine learning and computer vision, demonstrating practical application of generative models and a passion for product-centric innovation.
• Proficiency in Python, with openness to other programming languages and tools as required by project demands.
• Experience with deep learning frameworks such as PyTorch, and a capacity for quickly mastering new technologies.
• A collaborative spirit with a proven track record in a team-based research or development setting.
• A lifelong learner with outstanding problem-solving skills and the ability to communicate effectively in a diverse team environment.

What HeyGen Offers:

• Competitive Salary and Benefits: We offer a salary commensurate with your experience and a comprehensive benefits package that addresses a variety of needs.
• Innovative and Inclusive Work Environment: Our workplace is designed to inspire innovation through collaboration, respect, and mutual support.
• Opportunities for Advancement: We are committed to your professional development, offering extensive opportunities for learning, mentorship, and career growth.
• Dedication to Diversity: HeyGen is an equal opportunity employer, championing a diverse and inclusive team that ensures equal access to opportunities for all members.