ABOUT THE TEAM

Anduril's Space team is dedicated to expanding our AI-powered capabilities into the final frontier, enhancing Space Domain Awareness, Space Control, and Command and Control for U.S. military and allied partners. We're developing fully integrated hardware and software systems, including Lattice for Space Missions and modular payloads, to address growing threats in space and ensure our Guardians maintain a decisive advantage in this contested war-fighting domain.

ABOUT THE JOB

We are looking for a Senior Tracking Software Engineer to join our rapidly growing team in Washington DC. In this role, you will lead the development of advanced 2D and 3D tracking algorithms that maintain custody of space objects, processing sensor detections and messages into actionable tracks for space situational awareness missions. As a senior member of the team, you will architect and implement sophisticated multi-target tracking systems using cutting-edge state estimation and data association techniques, develop physics-based models to validate performance, and mentor engineers while working closely with software teams to deploy your algorithms into operational systems. You will drive technical decisions, lead design reviews, and serve as a subject matter expert in tracking algorithms. This will require deep expertise in tracking algorithms, state estimation (Kalman filtering), data association methods (JPDA, MHT), proficiency in MATLAB, Python, and C++, experience with modeling and simulation, and demonstrated technical leadership. If you are someone who enjoys solving challenging tracking problems involving clutter, maneuvering targets, contested sensing environments, and real-time mission constraints while guiding others to do the same then this role is for you.

WHAT YOU’LL DO

• Lead systems engineering and algorithm development tasks supporting space and missile defense tracking missions, providing technical direction and guidance to team members
• Architect and implement advanced object tracking and state estimation algorithms, including track initiation, maintenance, correlation, and termination
• Design and evaluate multi-target tracking and multi-sensor fusion approaches for EO/IR, RF, or hybrid sensor architectures
• Lead the implementation of advanced data association techniques including JPDA (Joint Probabilistic Data Association), MHT (Multiple Hypothesis Tracking), nearest neighbor, and track-to-track fusion methods
• Drive innovation in data association techniques, exploring novel approaches and optimizations for complex operational scenarios
• Build sophisticated physics-based models and conduct modeling and simulation including Monte Carlo analysis, recorded sensor playback, and hardware-in-the-loop testing to validate tracking performance
• Lead performance analysis, trade studies, and simulation-based assessments of tracking robustness under challenging conditions (maneuvering targets, clutter, countermeasures, degraded sensing)
• Collaborate with and mentor software engineers to transition tracking algorithms from MATLAB/Python prototypes to production C/C++ code optimized for real-time operational systems
• Drive the systems engineering lifecycle including requirements decomposition, trade studies on tracking approaches, verification and validation planning, and design reviews (SRR, PDR, CDR)
• Lead technical documentation efforts and present at design reviews (SRR, PDR, CDR) and customer engagements
• Mentor engineers in tracking algorithm development, state estimation theory, and best practices
• Serve as a technical subject matter expert for tracking systems, advising program leadership on algorithm performance, risks, and opportunities

REQUIRED QUALIFICATIONS

• Currently possesses and is able to maintain an active U.S. Secret security clearance
• Bachelor's degree or higher in Electrical Engineering, Computer Engineering, Aerospace Engineering, Applied Mathematics, Physics, Computer Science, or related technical field
• 8+ years of experience designing, implementing, and testing multi-target tracking algorithms for aerospace, defense, or autonomous systems
• Demonstrated technical leadership in tracking algorithm development, including leading design efforts, mentoring team members, or serving as a subject matter expert
• Deep theoretical and practical expertise with state estimation techniques, including Kalman Filters (EKF, UKF), multi-target tracking concepts, and Interacting Multiple Model (IMM) filters
• Proven experience developing tracking algorithms that handle track initiation, maintenance, correlation, and termination in operational systems
• Expert proficiency in algorithm development using MATLAB and/or Python with demonstrated experience transitioning algorithms to C++ for production deployment
• Extensive experience with modeling, simulation, and testing workflows including Monte Carlo analysis, sensor data playback, or hardware-in-the-loop environments
• Strong ability to work collaboratively with software engineers, systems engineers, and test teams to integrate tracking algorithms into operational systems
• Excellent communication skills with experience presenting technical concepts to diverse audiences including engineers, program managers, and customers

PREFERRED QUALIFICATIONS

• Advanced degree (MS or PhD) in Engineering, Physics, Applied Mathematics, or related technical field
• 10+ years of experience in tracking algorithm development for defense or aerospace applications
• Experience in one or more of the following domains: missile defense or space systems; EO/IR or RF sensors; kill vehicles, interceptors, or countermeasures
• Extensive experience handling challenging tracking scenarios including track fragmentation, ghost tracks, sensor outages, and high-clutter environments
• Deep familiarity with real-time system constraints, embedded systems, or edge compute optimization
• Demonstrated experience leading efforts within the systems engineering design cycle, including requirements decomposition and traceability, algorithm design and trade studies, verification and validation (V&V), and documentation and design reviews (SRR, PDR, CDR)
• Experience with MBSE tools (Cameo, Rhapsody, DOORS)
• Experience with advanced tracking techniques such as Random Finite Set (RFS) methods, Probability Hypothesis Density (PHD) filters, or machine learning-enhanced tracking
• Publication record in peer-reviewed journals or conferences related to tracking, state estimation, or sensor fusion
• Experience briefing and interfacing with government customers (DoD, IC, or similar)
• Track record of delivering tracking solutions into operational systems or fielded products

ABOUT THE TEAM

Anduril's Lattice software platform integrates many sensors into a single cohesive view of the battlefield, providing the context our users need to make better decisions, faster. Perception Engineers on Anduril's Frontier AI team build edge-compatible systems that power these views, transforming complex multi-sensor inputs into accurate, actionable understanding of the world. We integrate ambitious machine learning and computer vision algorithms directly into the Lattice platform to increase the fidelity, accuracy, and usefulness of battlefield awareness. These systems improve the experience of Anduril's existing customers, aid in the scaling of our business to new customers, use-cases, and business lines, and they create high-quality snapshots of the world that autonomous and agentic systems can operate on top of.

WHAT YOU'LL DO

• Design, train, and deploy computer vision and perception models for edge-
  compatible, mission-critical environments
• Build multi-sensor perception systems that fuse imagery, video, and other sensor
  data into coherent views of the battlefield
• Improve the fidelity, accuracy, and robustness of Lattice's understanding of objects,
  activities, and environments across varied operational conditions
• Integrate state-of-the-art machine learning algorithms into production systems used
  by customers in real-world scenarios
• Develop mission-relevant evaluation frameworks, datasets, and benchmarks to
  measure perception performance in the field
• Partner closely with software, autonomy, product, and deployment teams to turn
  research ideas into operational capabilities
• Identify new perception and battlefield-understanding problems where advances in
  computer vision can unlock major product impact

REQUIRED QUALIFICATIONS

• BS, MS, or PhD in Computer Science, Robotics, Electrical Engineering, Machine
  Learning, or a related technical field
• 5+ years of experience developing computer vision, perception, or machine learning
  systems in production or advanced research settings
• Strong experience with deep learning, object detection, and object tracking
  frameworks
• Strong programming skills in Python, with the ability to build reliable research and
  production workflows
• Strong desire to invent, implement, test, and deploy novel techniques that vastly
  improve upon state-of-the-art public methods to solve research problem specific to
  the defense space
• Experience training, evaluating, and iterating on vision models for detection, tracking,
  segmentation, classification, or sensor fusion tasks
• Experience deploying or optimizing ML systems for constrained, real-time, or edge
  compute environments
• Ability to work across the full lifecycle of applied ML, from problem formulation and
  data strategy through deployment and performance monitoring
• Eligible to obtain and maintain an active U.S. Secret security clearance

PREFERRED QUALIFICATIONS

• Advanced degree with a focus on computer vision, perception, robotics, or machine
  learning
• Experience with multi-modal or multi-sensor fusion systems
• Experience deploying deep learning models to embedded, edge, or air-gapped
  environments
• Familiarity with real-time perception systems for autonomous platforms, defense
  applications, or other safety-critical systems
• Experience building large-scale datasets, labeling pipelines, or benchmarking
  infrastructure for vision systems
• Experience working in high-ownership startup environments or defense technology
  organizations
• Prior experience with geospatial, ISR, EO/IR, radar, or other battlefield-relevant
  sensing modalities

ABOUT THE TEAM

The Discovery team at Anduril is at the forefront of incubating and maturing high-potential, software-defined, AI-native offerings that meet the toughest, newest challenges across hardware, software, space, and cyber domains. We're the architects of mission autonomy and mesh networking, delivering scalable hardware solutions that meet some of the most urgent national security needs. By working hand-in-hand with elite teams in Perception, AI, Motion Planning, Hardware, Test Engineering, Space, Networking, and Vehicle hardware, we craft cutting-edge, end-to-end systems that redefine mission success.

ABOUT THE JOB

Anduril’s Discovery business line is seeking a talented Product Manager to join our rapidly growing team in Washington, DC. In this role, you will be responsible for shaping and delivering features and services critical to the next generation of air and missile defense systems. You will develop domain expertise and perform thorough discovery to devise innovative defense capabilities ready to meet unprecedented defense needs. These capabilities will be robust and reliable, while appropriately leveraging the latest in AI/ML technologies. If you are someone who thrives in a fast-paced, dynamic environment and has a passion for contributing to national security, then this role is for you!

WHAT YOU'LL DO

• Own the product roadmap for key missile defense backend services and user interface, translating high-level strategic objectives and urgent warfighter needs into detailed, actionable product roadmaps and specifications.
• Proactively communicate roadmaps and goals to stakeholders and manage expectations of delivery. Escalate large trade offs and necessary decision points as needed.
• Work with business development, proposal, marketing, and compliance leads to communicate product capabilities externally. Participate in large-scale customer exercises and demonstrations.
• Work hands-on to deliver new capabilities across the lifecycle of the product, from initial release and onboarding, through day-to-day improvements. Validate and experiment along the way, acting as the voice of the user throughout.
• Define and monitor key metrics to measure success.
• Interview and iterate with defense operators and subject matter experts, develop insights from such interactions, and propagate user needs clearly through the organization.
• Develop relationships to bridge business and technical worlds. Build tech alongside prolific engineers and designers, and then zoom out to work with business development, operations, customer success, marketing, and finance teams in order to ensure success. Along the way, you’ll help define and drive product team culture and best practices.
• Partner closely with test engineers and program teams to devise rigorous testing scenarios that validate key functionality, demonstrate operational utility, and drive rapid iteration cycles.

REQUIRED QUALIFICATIONS

• Currently possesses and is able to maintain an active U.S. Top Secret security clearance.
• 3-5 years in software product development, ideally in highly technical areas which may include AI/ML products, developer solutions, etc.
• A deep understanding of back-end web technologies & distributed systems to consider capabilities and limitations.
• Excellent written and verbal communication skills.
• Aptitude for working with internal and external stakeholders, across a wide range of technical comfort.
• Proven ability to decompose and organize technically complex projects in a structured approach.
• Demonstrated success decomposing a problem into addressable component parts.
• Proven ability to motivate cross functional teams to do their best work.
• U.S. Person status is required as this position needs to access export controlled data.
• Ability to travel for discovery and testing purposes (surges up to 25%).

PREFERRED QUALIFICATIONS

• Defense, national security, or aerospace domain familiarity through experience or education.
• Experience working in a developer focused product team (for example, in cloud services, SDK development, or internal platform infrastructure).
• Experience supporting test design and execution for technically complex, combined hardware/software systems.
• Experience with text planning and execution for combined hardware/software systems.
• Demonstrated interest in code generation technologies.

ABOUT THE TEAM

The Discovery team at Anduril is at the forefront of incubating and maturing high-potential, software-defined, AI-native offerings that meet the toughest, newest challenges across hardware, software, space, and cyber domains. We're the architects of mission autonomy and mesh networking, delivering scalable hardware solutions that meet some of the most urgent national security needs. By working hand-in-hand with elite teams in Perception, AI, Motion Planning, Hardware, Test Engineering, Space, Networking, and Vehicle hardware, we craft cutting-edge, end-to-end systems that redefine mission success.

ABOUT THE JOB

As a Staff Modeling and Simulation Engineer, you will own the understanding and design of the mission solution which includes designing mission trajectories, building models to help craft mission solutions, and developing simulations to solve key mission needs. You will carefully listen to stakeholder needs and then design rigorous math and physics analyses leading to clear and compelling value propositions. You will work closely with related teams, including Systems Engineering, GNC, Software, Mission Operations, Hardware Engineering and others. You will lead physics-level modeling, mission design, constellation design, simulation and analysis for a wide variety of defense missions.

This role is directly tied to ongoing, funded programs within Anduril’s Discovery Business Line. The programs require building and fielding a resilient, software-defined spacecraft systems across numerous mission threads. We work with mission partners and customers to deploy reliable and robust capabilities on operationally relevant fielding timelines to meet complex challenges across the DOD and IC.

WHAT YOU’LL DO

• Develop model-driven analysis (and often the models themselves)
• Develop a deep understanding of transformational value of Anduril platform, autonomy, simulation, and perception products
• Use our advanced internal M&S capabilities to give our analyses an asymmetric advantage over competitors
• Convey the value through life of AI-powered distributed systems over traditional industrial offerings
• Provide rigorous analytical products which will be used to guide hardware engineering and convince stakeholders of our value advantage

REQUIRED QUALIFICATIONS

• Currently possesses and is able to maintain an active U.S. Top Secret security clearance
• Strong domain experience in fields like missile defense, Space, radar, sensor fusion, etc. 
• Proven track record of independently owning and executing program deliverables with little to no management
• Outstanding communication skills to include visual presentation of complex data
• Proficiency with physics-math scripting (e.g., MATLAB, SIMULINK, Python+numpy, scipy)
• Strong engineering background, preferably in Astrodynamics, Aerospace Engineering, Dynamics and Controls Engineering, or other related engineering field

PREFERRED QUALIFICATIONS

• 10+ years in a relevant Science/Engineering field
• Space Mission MS&A experience - for example, working knowledge of constellation design, space trajectory design, and physics-level modeling across a wide variety of space missions
• Spacecraft & Payload MS&A experience— ability to perform physics-based trade-space analyses for spacecraft propulsion, power, thermal management, and payloads such as RADAR, SATCOM, and/or EOIR
• Rendezvous Proximity Operations (RPO) Trajectory Design & Space Payloads experience
• Strong background in orbital mechanics and space environment
• Exceptional proficiency with physics-math scripting of your choice (e.g., MATLAB, SIMULINK, Python+numpy, scipy)
• Proficiency with STK and Astrogator
• Proficiency with AFSIM
• Experience with genetic algorithms, machine learning, AI, and reinforcement learning algorithms

ABOUT THE TEAM
Anduril’s Integrated Systems (AIS) division specializes in the design and development of distributed, autonomous fire-control architectures. We are a high-performing team made up of the world’s best in robotics, autonomy, weapons, networking, and manufacturing. We seek to deliver validated, integrated capabilities to the Department of War and the Intelligence Community. Our team proactively works with our mission partners to shape the employment of these advanced integrated systems to unlock new tactics, techniques, and procedures for warfighting units tasked with today’s most complex challenges.

ABOUT THE JOB
Anduril is seeking a Head of Frontier AI to build a world class machine learning team across capabilities, product, and infrastructure. In this role, you will be responsible for driving the overall strategy for instantiating safe and secure agentic and perception capabilities relevant to the division's programs and products and set research initiatives that usher in new frameworks of operator-to-agent teaming to achieve operational-efficiency.

• Drive strategy that fields safe and secure performant agents on embedded warfighting compute.
• Manage a cohort of cleared machine learning engineers, researchers, and product managers.
• Provide deep technical leadership to team on design, development, and deployment of advanced AI solutions.
• Leverage and shape the world’s largest defense robotics data set to develop cutting-edge AI capabilities.
• Coordinate with internal testing and evaluation team(s) to design specialized evaluation benchmarks for defense use-cases.
• Partner with US-based Frontier AI Labs to revolutionize the employment of autonomy in embedded hardware.

REQUIRED QUALIFICATIONS

• Management experience leading and growing AI/ML teams.
• Experience deploying AI-technologies into classified environments (e.g., disconnected, air-gapped, etc.).
• Expertise in deep learning techniques and the latest generative AI technologies (Agents, Vision-Language Action models, etc.).
• Strong programming skills.
• Eligible to obtain and maintain an active U.S. Top Secret SCI security clearance.

PREFERRED QUALIFICATIONS

• Experience with edge-deployed ML systems.
• Prior work in Defense Tech and/or Start Ups.
• Active U.S. Top Secret SCI security clearance.

Recorded Future provides intelligence that 1,500+ clients use to defend their people and networks from cybersecurity threats. Our intelligence data provides analytics for many security and risk management needs. This data is derived from technical data, threat actor monitoring, social media, open sources, and other data sources. In this role, your mission is to design, build, and deploy the next generation of AI Agentic systems that process and enrich this intelligence data autonomously.

In this Senior Software Engineer role, you will be a key individual contributor, driving the development of resilient, scalable software systems focused on leveraging Large Language Models (LLMs) and autonomous agents for data processing, analysis, and threat detection. You will be responsible for building sophisticated, production-grade applications that enrich our threat intelligence, and you will mentor junior engineers, fostering technical excellence and best practices.

What You’ll Do:

• Design, develop, and deploy highly reliable and scalable software systems, specializing in AI Agentic tooling and ML applications.
• Serve as a technical leader in the implementation of frameworks and best practices for creating, evaluating, and safely deploying autonomous AI agents in a production environment.
• Collaborate with engineering managers and cross-functional teams to integrate AI Agent solutions across the platform.
• Drive engineering excellence by conducting rigorous code reviews, focusing on code quality, performance optimization, and operational maturity.
• Lead the technical design and architectural discussions for new features and components within the AI Tooling roadmap.
• Manage project tasks through an agile SDLC, ensuring timely delivery and high-quality results.

What You’ll Bring:

• Strong technical background in software engineering, with deep expertise in building and scaling distributed systems.
• Expert-level proficiency in Python and related ecosystem for production AI/ML applications.
• Proven track record as a senior individual contributor, designing and delivering complex software solutions.
• Technical skills with modern cloud platforms (e.g., AWS, GCP, Azure) and engineering workflow tools (e.g., Jira, Git).
• Deep understanding of the AI Agent paradigm, including hands-on experience with LLMs, prompt engineering, agentic loop design, and retrieval-augmented generation (RAG).
• Experience driving coordinated action between cross-functional teams (product, research, stakeholders) working from different locations around the world.
• A pragmatic mindset and a strong focus on delivering measurable, high-impact results.
• A keen curiosity for cybersecurity and finding innovative ways to apply AI Agent technology to keep our clients safe.

The base salary range for this full-time position is $129,000- $193,500. Our salary ranges are determined by role, level, and location. The salary displayed reflects the range for new hire salaries for the position across all US locations. Within the range, individual pay is determined by state, work location and additional factors, including job-related skills, experience, and relevant education or training. This position may be eligible for incentive compensation, equity, and medical, dental, vision, life insurance and 401K. Your recruiter can share more about the specific details of the compensation and benefit package during the hiring process.

#LI-Remote

What We're Looking For

We’re looking for a Fullstack Engineer to help develop and scale the Lightning AI platform across the frontend, CLI, APIs, and core backend systems. In this role, you’ll take ownership of key features and drive them end-to-end, working closely with engineering, product, and design to ship high-quality, iterative improvements. This is an opportunity to build systems that support real-world machine learning workloads at scale.

This role is based in one of our hubs (NYC, SF, Seattle, or London), with a minimum of 2 in-office days per week and occasional team and company offsites. We are not able to provide visa sponsorship for this position at this time.

What You’ll Do

• Write readable/testable/efficient code in React and either Python or Go (Golang).
• Build deep expertise in our technology stack to deliver new features, improve system stability, and increase overall performance.
• Partner with engineering and product leaders on developing the Lightning product while using your experience to set the technical direction for large projects.
• Evaluate, strengthen, and document technical architecture, tools, and processes.
• Maintain high standards for software quality, implement automation, drive continuous delivery, and reduce time to production while proactively reducing technical debt.
• Mentor and coach engineers on system design, operating in high uncertainty, and problem-solving to create a supportive, inclusive environment where each engineer can grow.

What You’ll Need

• Proficiency in React and either Go (Golang) or Python, with a preference for Go
• Strong understanding of software engineering principles and lifecycle
• Hands-on experience as a Fullstack Engineer in a SaaS technology company
• Proven ability to take ownership of key features and drive end-to-end development
• Communication and collaboration with engineers, product managers, and designers
• Ability to operate in high uncertainty and rapidly changing environments

Compensation

What We're Looking For

We’re looking for a Backend Engineer to help develop and scale the Lightning AI platform, spanning APIs, infrastructure, billing, security, and integrations. In this role, you’ll take ownership of key features and drive them end-to-end, working closely with engineering, product, and design to ship high-quality, iterative improvements. This is an opportunity to build systems that support real-world machine learning workloads at scale.

This role is based in one of our hubs (Seattle, NYC, SF, or London), with a minimum of 2 in-office days per week and occasional team and company offsites. We are not able to provide visa sponsorship for this position at this time.

What You’ll Do

• Write readable/testable/efficient code in Go (Golang).
• Build deep expertise in our technology stack to deliver new features, improve system stability, and increase overall performance.
• Partner with engineering and product leaders on developing the Lightning product while using your experience to set the technical direction for large projects.
• Evaluate, strengthen, and document technical architecture, tools, and processes.
• Maintain software quality, implement automation, drive continuous delivery, and reduce time to production while proactively reducing technical debt.
• Mentor and coach engineers on system design, operating in high uncertainty, and problem-solving to create a supportive, inclusive environment where each engineer can grow.

What You’ll Need

• Extensive experience writing efficient, maintainable code in Go. Familiarity with best practices in testing, readability, and optimization is essential.
• Broad knowledge of backend and frontend systems, with experience building and scaling APIs, CLI tools, billing systems, and security protocols. Exposure to frontend frameworks is a plus.
• Experience with cloud platforms like AWS, GCP, or Azure and designing systems that are reliable, performant, and scalable. Familiarity with containerization (Docker, Kubernetes) is a strong advantage.
• Proven ability to take ownership of key features and drive end-to-end development
• Commitment to software quality, test automation, and continuous delivery. Experience proactively managing technical debt and speeding up time to production.
• Hands-on experience as a backend or product engineer in a SaaS technology company
• Communication and collaboration with engineers, product managers, and designers
• Ability to operate in high uncertainty and rapidly changing environments

Compensation

ABOUT ROCKET MONEY 🔮 Rocket Money's mission is to empower people to live their best financial lives. Rocket Money offers members a unique understanding of their finances and a suite of valuable services that save them time and money – ultimately giving them a leg up on their financial journey.

ABOUT THE ROLE 🎬 Rocket Money is looking for a Social Producer to join our Creative team. This isn't a traditional producer role - we're looking for someone who lives and breathes social media, brings a constant stream of fresh ideas, and knows how to make content that stops people mid-scroll and drives real performance. You'll be embedded in our video team, producing social-first content across platforms while helping us reach new audiences and push the boundaries of what works in a competitive fintech space.

This is a full-time mid-level position within the Marketing department's Creative team.

IN THIS ROLE, YOU'LL: 🎯

• Own social content production end-to-end - from concept through delivery, producing direct response video content built specifically for TikTok, Meta, YouTube, and other emerging platforms
• Bring a relentless stream of fresh ideas - you're always watching what's trending, what's converting, and what nobody has tried yet
• Produce platform-native content that feels native to each channel - not repurposed ads, but content built from the ground up for how people actually consume social
• Collaborate with the creative team on ideation, storyboarding, and concept development - you have a strong point of view and you share it
• Iterate fast based on performance data - you believe data informs creativity, not limits it, and you're always looking at what's working and optimizing
• Shoot, direct, and produce - you're comfortable on set and behind the camera, and can take a concept from brief to final asset
• Identify new content formats and trends before they peak and bring them to the team with a concrete point of view on how to use them
• Manage multiple projects simultaneously with strong turnaround times and a sharp eye for detail
• Help expand Rocket Money's reach to new audiences and demographics through smart, culturally relevant content

ABOUT YOU 🦄

• You are an avid, active user of social media - TikTok, Instagram, YouTube, and whatever's next. You don't just consume it and use it, you study it
• You have a genuine instinct for what makes content perform and can articulate why something will or won't work
• 3-5 years of experience producing video content, with a strong portfolio of social-first work
• Deep understanding of platform differences - what works on TikTok is not what works on YouTube and you know exactly why
• Comfortable on a production set and across all stages of production from pre to post
• Proficient in Premiere Pro and comfortable with mobile-first editing tools
• Strong storytelling instincts with the ability to craft content that entertains, educates, and converts
• A self-starter who moves fast, takes initiative, and is always looking for the next angle
• Collaborative and communicative - you share ideas generously and give and receive feedback well

NICE TO HAVE ✨

• Familiarity with direct response principles and how creative decisions impact conversion
• After Effects experience
• Experience growing or managing a brand's organic social presence

WE OFFER 💫

• Health, Dental & Vision Plans
• Life Insurance
• Long/Short Term Disability
• Competitive Pay
• 401k Matching
• Team Member Stock Purchasing Program (TMSPP)
• Learning & Development Opportunities
• Tuition Reimbursement
• Unlimited PTO
• Daily Lunch, Snacks & Coffee (in-office only)
• Commuter benefits (in-office only)

Salary range: $75,000 – $100,000/year + bonus + benefits. Base pay may vary depending on knowledge, skill, and experience.

Rocket Money, Inc is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

The Team:

Celonis Services is a strategic services organization that focuses on the technical aspects of our customers' journeys, which includes Consulting Services, Academy and Customer Support. We are thought leaders with deep product, technical and domain expertise and focus on delivering Celonis implementations and driving product adoption for our customers. We achieve this by bringing together our best practices, delivery experience, award-winning enablement, and support expertise.

The Role:

As a Senior Consultant, you lead our agile project teams to accelerate our customers’ digital transformation and drive Celonis’ international expansion. You identify our customers’ strategic priorities and lead your project team towards developing data-driven process insights using SQL and creating complex data models to ensure that customers receive maximum value. You will become an expert in all kinds of company processes such as Finance, Order Management, Procurement, Warehouse Management, Customer Service, Production, e-Commerce, Opportunity Management, Supply Chain Management. You always leverage the newest features and functionalities of the Celonis software, such as Process Analytics, Process Automation, Task Mining and Machine Learning. 

The work you’ll do:

• Lead and drive the implementation process while delivering exceptionally high levels of service to ensure the optimal solution for our customers with our Celonis technology 
• Transform the customer’s data using SQL to create the data model for your process analysis
• Design and implement innovative analyses and execution apps and enrich them with Machine Learning algorithms or Task Mining to make the customer’s processes transparent and automated 
• Analyze the data to identify process inefficiencies and understand the root causes to jointly suggest approaches to overcome them
• Quantify the business and financial potential and present the most relevant KPIs to the management 
• Translate business requirements into technical specifications
• Conduct value creation workshops and align measures to improve process inefficiencies 
• Set the foundation of the path to value to make the long-term customer success journey happen

The qualifications you need:

• Preferred location is Washington, DC
• 5+ years working experience in IT-Consulting, Management Consulting, Process Improvement or a similar area 
• Must have relevant experience in Public Sector vertical
• Requires Active Security Clearance (that will remain active for at least 18+ months upon hire)
• Proficiency with SQL or other programming languages (Python, R, Matlab...) and a strong interest in Big Data, Data Mining, and Process Mining
• Strong communication skills in English and enjoy interacting with various customers to understand and interpret business processes
• You are very dedicated and visionary and want to actively drive the Celonis Process Mining technology forward 
• Excellent analytical skills, well organized and known for being a quick learner
• Successfully completed your studies in Business Informatics, Computer Science, Information-oriented Business Administration/ Economics, Mathematics or a comparable degree program

Visa sponsorship is not offered for this role.

P24627_3360214

Partner Marketing Manager, Technology Partnerships

About the Role

As a Partner Marketing Manager for Technology Partnerships, you will be the demand generation architect behind Okta’s most strategic ISV partnerships. You are not just a marketer; you are a business leader responsible for defining how Okta and our leading technology partners win together in the market.

Reporting to the Senior Director of Global Partner Marketing, you will operate with a high degree of autonomy, leading the end-to-end GTM strategy for a portfolio of Tier-1 technology partners. You are responsible for bringing joint innovation to market—including the development and launch of AI integrations with large platform partners—and ensuring these efforts translate into measurable pipeline and revenue impact. You will bridge product and sales, connecting technical integrations to clear customer value and scalable go-to-market execution.

Key Responsibilities

Strategic GTM & Field Activation

• Own the Strategy: Develop and execute the joint marketing strategy for Okta and with key ISV partners including Zscaler, Crowdstrike, Google and more, to drive new leads, increase consumption, and amplify our message in the market.
• GTM Narrative Activation: Partner with Product Marketing to "field-proof" joint messaging. You are responsible for taking high-level technical value propositions and transforming them into actionable, high-conversion marketing assets (e.g., co-branded pitch decks, solution briefs, and sales plays) that resonate with Okta’s global sales force.
• Integrated Campaign Architecture: Lead the design and global rollout of complex multi-partner and multi-channel "Always-On" marketing programs to create unified messaging, value propositions, and joint campaign architecture that captures new market opportunities. You own the strategy for how the joint solution is positioned across webinars, digital demand gen, and major third-party events (e.g., RSAC, Zenith Live, Fal.Con).
• AI Integration Launches: Support the GTM strategy and execution for joint AI integrations with large platform partners, from launch planning through field activation. Ensure these innovations are clearly positioned, enabled for sales, and translated into scalable demand generation and pipeline impact.
• Market Positioning: Act as the subject matter expert (SME) on the competitive landscape of your partner category, ensuring Okta remains the "integration of choice" for the ecosystem.
• Ecosystem Campaign Intelligence: Monitor the performance of joint marketing plays and provide a "feedback loop" to PMM and Product. You identify which narratives are actually driving pipeline in the field and which need to be pivoted based on real-world buyer behavior.

Ecosystem Scale & Influence

• Executive Alignment: Build and maintain high-level relationships with marketing and product leaders at partner organizations to secure premium sponsorship, co-marketing budget, and roadmap alignment.
• Influence and Align Cross-Functionally: Embed our ISV partnerships within Okta’s highly cross-functional working teams, collaborating across alliances, product marketing, field marketing, demand gen, content, PR, and social.
• Global Playbook Development: Design "Scale" packages—repeatable marketing assets and frameworks—that allow regional marketing teams in EMEA and APJ to execute partner motions with speed and consistency.

Revenue & Performance Management

• Pipeline Accountability: Own the "Partner-Influenced Pipeline" and “Marketing Attached” targets. You will be responsible for the health of the funnel generated through co-marketing activities.
• Data-Driven Optimization: Utilize SFDC, Tableau, and Crossbeam to track ecosystem overlap, measure campaign attribution, and provide regular "State of the Union" reports to leadership. 

Qualifications

• Strategic Experience & Domain Expertise: 6+ years of experience in B2B tech marketing or alliances, ideally within high-growth SaaS environments. You possess a deep understanding of the Identity, Security, or Cloud Infrastructure landscape and can comfortably navigate technical concepts and translate them into business value.
• GTM Orchestration & "Big Picture" Thinking: Proven ability to move beyond one-off tactics to build global "marketing engines." You think in systems and playbooks, with a demonstrated knack for re-imagining how Okta and our partner ecosystem deliver compounding value to customers.
• The "Own It" Mentality: A proactive, high-autonomy leader with a bias for action. You exhibit the rare ability to think strategically about full-funnel pipeline development while remaining "hands-on" to troubleshoot tactics and ensure initiatives deliver tangible ROI.
• Exceptional Influence & Communication: A natural storyteller and persuasive communicator. You are skilled at distilling complex technical integrations into punchy, benefit-driven messaging and are equally effective at presenting to C-suite stakeholders as you are to technical audiences.
• Cross-Functional Leadership Excellence: Mastery of the matrixed environment. You have a proven track record of leading "v-teams" (virtual teams) across PMM, Enablement, and Alliances without direct authority, driving alignment and execution across diverse internal and external stakeholders.
• Educational Foundation: Bachelor’s degree in Marketing, Business, or a related field; or equivalent practical experience in the technology sector.

#LI-Hybrid

(P12589_3413813)

The Application Modernization Platform (AMP) team is tackling one of the industry's most critical challenges: leveraging Generative AI to transform rigid, legacy applications into modern, microservices-based architectures powered by MongoDB.

We are building a comprehensive, SaaS-like platform, encompassing both the "brain" (multi-agent reasoning and orchestration) and the "hands" (the deployment platform and modernization toolset). This solution requires a robust platform foundation and infrastructure designed for a "build once, run anywhere" model, ensuring seamless operation regardless of a client's security or network constraints. A key challenge is balancing the need to tune our tools for each customer's unique tech stack and restrictive environments with making them easily extensible and scalable for common application modernization challenges.

We seek an engineering leader for this high-visibility initiative. This role requires defining the high-level strategy and technical direction across all AMP engineering pillars, leading the execution of solving uniquely complex application modernization puzzles, and delivering an enterprise-grade product. The leader will minimize deployment friction, meet customer compliance requirements, and help shape the future of how global enterprises leverage GenAI.

The ideal candidate is a hands-on technical leader who excels at leveraging GenAI capabilities, architecting complex distributed systems, and designing the orchestration agents necessary to reliably and fluidly run the entire software development lifecycle.

This role will be based in North America's West Coast (PST), and offers a hybrid working model.

The ideal candidate for this role will have

• 10+ years of software development and operations experience, with a focus on building platforms and distributable software infrastructure
• Deep experience in building data warehouses and core components for data processing systems
• Have experience in using GenAI in building complex large-scale systems, and know what GenAI is best suited to do
• Understanding of security-first design, specifically regarding the execution of untrusted code, fine-grain access control, and rigorous input validation
• 2+ years of experience leading, coaching, and mentoring a team of engineers to achieve high-impact results
• Excellent verbal and written technical communication skills and a strong desire to collaborate cross-functions
• Excellent time and project management skills including the ability to make realistic assessments of project cost and complexity
• Curiosity, a positive attitude, and a drive to continue learning, in particular building AI skillset

Key Responsibilities

• Provide technical leadership and mentorship to a team of engineers, fostering a culture of innovation, quality, and continuous improvement
• Provide thought leadership, and execute AMP roadmaps to influence and shape the future of how global enterprises leverage GenAI
• Lead the design and implementation of a sophisticated orchestration layer that manages authentication, telemetry, and the workflow of application modernization stages
• Lead the team design and leverage GenAI to build reliable and scalable building blocks that are extendable and easy to assemble to an autonomous workflow
• Collaborate with MongoDB product teams to ensure the modernized applications integrate seamlessly with customers’ database ecosystem
• Act as a hands-on leader, guiding the team through technical challenges related to where and how to leverage GenAI to build the critical building blocks of application modernization toolset

Success Measures

Within the first three months, you will have:

• Fully ramped up on our architecture, business domain, and the specific constraints of deploying software to large enterprise client environments
• Established yourself as the technical leader within the team, actively driving engineering strategy and key technical decisions
• Begun collaborating with team leaders (TLs, managers) of AMP org and product counterparts on designing/improving the orchestration framework and the workflow components it manages
• Developed a comprehensive grasp of all AMP pillars and their roadmap

Within six months, you will have:

• Influenced AMP product and engineering leads on key technical decisions, and set clear direction for the team
• Successfully led the team to making substantial progress on the “big rock” deliverables and critical milestones of AMP product, enabling the team to smoothly land the planned roadmap
• Owned and delivered some key pieces of AMP orchestration framework and the workflow components it manages
• Served as a role model and strategic leader for the AMP org
• Contributed to establish engineering excellence standards for the team, and began mentoring and providing technical guidance to team members

Within 12 months, you will have:

• Become recognized as the strategic engineering leader both within and outside of the AMP organization
• Helped senior leadership (e.g., Directors/VP) on defining the technical strategy and roadmap for the future
• Enabled the team to deliver a stable, production-ready platform that supports autonomous application modernization workflow for our Field Engineering teams
• Drove the adoption of engineering excellence, making it a core tenet of the team's culture and operations
• Contributed to the development of tech leads within the team, fostering growth opportunities. Played a key role in shaping the AMP organization into a self-driving high-performing engineering team

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Req. ID: 1273362664

ZoomInfo is seeking a Principal Product Manager, Company Data to lead our company data strategy and execution, focusing on delivering our next generation company/account data creation pipeline. In this role, you'll own end-to-end product strategy for company data that serves millions of users and drives billions in revenue, working at the intersection of data science, large-scale data processing, and customer-facing experiences.

The Principal PM, Company Data will define multi-year vision while delivering measurable improvements month-over-month. This role is critical to maintaining ZoomInfo's competitive advantage in company intelligence by continuously raising the bar on data quality, coverage, and customer value.

What You'll Do (Essential Functions)

• Own end-to-end product strategy for company data, defining vision, roadmap, and success metrics aligned with company objectives
• Identify and prioritize high-impact opportunities that improve company data quality, expand coverage, or unlock new customer use cases
• Drive new data source integration for company attributes, including evaluation, negotiation, and productization of 3rd party partnerships
• Build scalable frameworks for company data enhancement, quality monitoring, and continuous improvement including resolution of critical data quality issues
• Define and track metrics that measure company data coverage, accuracy, freshness, and customer adoption
• Partner with engineering and data science to solve complex technical problems in company matching, hierarchies, entity resolution, and data pipelines
• Lead product discovery initiatives using customer interviews and data analysis to uncover true customer pain points beyond surface-level feedback
• Create comprehensive documentation, enablement materials, and objection handling frameworks that enable internal and customer-facing teams to understand and communicate company data value
• Lead go-to-market initiatives, partnering with product marketing and sales to position, message, and monetize company data improvements

What You Bring

Required Qualifications

• 8+ years of product management experience with at least 4+ years focused on data products, data platforms, or data-intensive B2B SaaS
• Proven track record of shipping impactful data products that improve quality, expand coverage, or unlock new use cases
• Deep technical understanding of data pipelines, data quality frameworks, entity resolution, data modeling, and/or machine learning applications
• Strong understanding of company data, firmographics, hierarchies, and business intelligence domains
• Cross-functional leadership with proven ability to influence engineering, data science, operations, and GTM teams without formal authority
• Strong analytical skills with ability to independently define metrics, analyze data, and make data-driven decisions
• Excellent communication skills with ability to explain complex technical concepts to diverse audiences and develop comprehensive documentation
• B2B SaaS experience, preferably in enterprise data products, APIs, or data-as-a-service offerings

Preferred Qualifications

• Background in data science, engineering, or analytics prior to product management
• Experience in high-scale data processing environments (billions of records, complex entity resolution)
• Familiarity with DaaS platforms, data marketplaces, customer enablement, or technical documentation
• Knowledge of data privacy regulations (GDPR, CCPA) and their product implications
  
  

#LI-VC1
#LI-Hybrid

About the Role
We are seeking an experienced research engineer to join our team. As a critical member of our interdisciplinary group, you will collaborate closely with AI scientists, engineers, and drug discovery experts to develop and deploy AI models that accelerate the identification and development of novel therapeutics. This role offers the opportunity to apply cutting-edge AI techniques in production settings to address pressing challenges in healthcare and contribute to improving human health globally.

We are particularly interested in candidates who have demonstrated experience building and delivering machine learning systems in industry environments, where rigor, scalability, and cross-functional collaboration are essential. The ideal candidate has experience translating research ideas into robust, production-ready solutions that drive measurable impact.

The role is open to the following locations: San Francisco Bay Area, Seattle

Qualifications

• Bachelor's degree in Computer Science, Engineering, or related fields; advanced degree preferred
• Minimum of five years of industry experience in AI, machine learning, or related roles, with a track record of implementing, scaling, and deploying AI models in production environments.
• Expertise with modern deep learning toolchains and experience with large scale model training.
• Strong understanding of deep learning fundamentals.
• Excellent problem-solving skills, with a keen eye for detail and a passion for tackling complex challenges in the life sciences.
• Effective communication and collaboration abilities, with the capacity to work effectively in a fast-paced, multidisciplinary team environment.
• Publication track record at conferences such as NeurIPS, ICML, or ICLR is a plus, though demonstrated industry impact is prioritized
• If you are a motivated individual with a passion for applying AI to advance drug discovery and improve human health, we encourage you to apply!

Compensation

We offer a competitive compensation and benefits package, seeking to provide an open, flexible, and friendly work environment to empower employees and provide them with a platform to develop their long-term careers. A Summary of Benefits is available for all applicants. We offer a competitive package that includes base salary, bonus, and equity. The base pay range for this position is expected to be $190,000 - $280,000 annually; however, the base pay offered may vary depending on the market, job-related knowledge, skills and capabilities, and experience.

Xaira Therapeutics an equal-opportunity employer. We believe that our strength is in our differences. Our goal to build a diverse and inclusive team began on day one, and it will never end.

TO ALL RECRUITMENT AGENCIES: Xaira Therapeutics does not accept agency resumes. Please do not forward resumes to our jobs alias or employees. Xaira Therapeutics is not responsible for any fees related to unsolicited resumes.

Position Overview

Xaira is seeking enthusiastic and motivated candidates to join our team! As an AI Scientist, you will have prior experience in developing and implementing new deep learning methods while upholding a track record of AI Innovation demonstrated through publications in Artificial Intelligence/Machine Learning or projects applying them to interdisciplinary fields. You will be a crucial member of our core AI team, comprising highly creative and talented peers who are all experts in developing state of the art AI models. With your team, you will initiate and drive new projects that advance the SOTA AI models for biology impacting drug discovery and clinical development. You will also have the chance to work closely with interdisciplinary experts with world-class biology, drug discovery, and clinical expertiseWe welcome candidates with diverse backgrounds and experiences. We welcome candidates across the spectrum of experience. Teams thrive when they are diverse (across all axes), and we encourage all eligible applicants to apply.

The role is open to the following locations: San Francisco Bay Area, Seattle and London.

Key Responsibilities

• Completed (or within one year of completing) a PhD in an AI or AI-adjacent field.
• Excited to work, learn and teach within a collaborative team working on challenging problems.

Desirable

Below is a list of qualities/experiences that align with the kinds of things that we are looking for. Please do not read this as an extension of the “requirements” section! We recognise that experiences, opportunities and life-paths vary.

• Publications in journals or ML conferences.
• Public codebases or contribution to public GitHub repositories.
• Industry experience in an AI company, such as an internship or full-time position.
• Knowledge or experience in BioAI.
• Experience building and training neural networks.
• Experience training models across multiple GPUs.

If you are a motivated individual with a passion for applying AI to advance drug discovery and improve human health, we encourage you to apply and join us in our mission to make a positive difference in the world.

Compensation

We offer a competitive compensation and benefits package, seeking to provide an open, flexible, and friendly work environment to empower employees and provide them with a platform to develop their long-term careers. A Summary of Benefits is available for all applicants. We offer a competitive package that includes base salary, bonus, and equity. The base pay range for this position is expected to be $120,000 - $240,000 annually; however, the base pay offered may vary depending on the market, job-related knowledge, skills and capabilities, and experience.

Xaira Therapeutics an equal-opportunity employer. We believe that our strength is in our differences. Our goal to build a diverse and inclusive team began on day one, and it will never end.

TO ALL RECRUITMENT AGENCIES: Xaira Therapeutics does not accept agency resumes. Please do not forward resumes to our jobs alias or employees. Xaira Therapeutics is not responsible for any fees related to unsolicited resumes.

You Are:

The SAP Application Developer Lead Senior Manager is responsible for leading detailed application design, development (coding), unit testing, and break/fix development remediation. You will be conducting translation of business area customer information into detailed enterprise application design and  interacting with SAP Functional Consultants and client team members to perform analysis of alternatives and provide recommendations.

The Work:

• Conducting the preparation of programming specifications, diagrams, and coding logic flowcharts for enterprise application modifications and installations
• Manage a team, including mentoring and training junior team members 

Here's What You Need:

• Experience with budgeting, staffing, forecasting and work planning
• 7 + years SAP ECC development experience
• Extensive experience in SAP project management, demonstrating a deep understanding of SAP solutions and their implementation
• Proven leadership skills, with a track record of successfully managing multiple teams in a fast paced environment
• Proficiency in project planning, resource allocation, and risk management.
• Ability to align and implement technical solutions using SAP and Icertis efficiently and in accordance with vendor best practices to minimize customization, enable vendor software upgrades, and maximize maintainability
• Experience in mentoring and developing team members to enhance their skills and capabilities
• Demonstrated ability to drive continuous improvement and innovation within SAP project teams
• Familiarity with SAP tools and technologies, as well as a commitment to staying updated on industry trends

Bonus Points If:

• Advanced Degree
• 15+ years of industry experience
• Motivated and proactive, with a desire to understand and address complex areas
• Curiosity for learning about new technology, industry best practices, and areas of risk, analyzing and turning new insights into concrete action
• Commitment to delivering tangible outcomes for customers and stakeholders
• Strong written and verbal communication/interpersonal skills to effectively collaborate with cross-functional teams and stakeholders.
• Excellent people management and relationship development skills
• In-depth knowledge of Accenture delivery methodologies and practices

The Extras:

• U.S. Citizenship required
• The ability to obtain and maintain a government clearance

We’re seeking a transformational Vice President, Professional Services to serve as a core member of Hootsuite’s Global Customer Leadership Team. This role is not a traditional services delivery role - it is a business-building mandate. Reporting to the Chief Customer Officer, you’ll be accountable for defining the vision, owning the strategy, and scaling Professional Services as a high impact, revenue-generating growth engine.

The VP, Professional Services will own the end-to-end services P&L, architect the long-range vision for how services accelerate IQRR and GRR. As a key member of the Customer Office, this role will serve as a strategic partner in shaping Hootsuite’s go-to-market strategy, influencing product investment priorities, and strengthening Hootsuite’s overall retention model. You will be expected to influence at the board level, represent Hootsuite externally as an industry thought leader, and build the next generation of Professional Services talent and capability.

WHAT YOU’LL DO:

• Define the multi-year services portfolio strategy: modernize  existing offerings, identify whitespace, and build new service lines that expand Hootsuite’s commercial footprint and deepen customer reliance on the Hootsuite platform.
• Establish Professional Services as a measurable revenue growth driver, directly tied to business outcomes, by creating commercial linkages between services investment and ARR expansion, renewal uplift, and NRR improvement.
• Lead initiatives that structurally improve PS margins through automation, AI-assisted delivery, scaled onboarding programs, and partner leverage, while protecting the premium customer experience.
• Drive a metrics-first operating culture: define leading indicators of delivery success and customer health, build dashboards that create real-time visibility, and hold the organization accountable to outcomes.
• Partner with RevOps and Finance to build robust, reliable PS forecasting models and ensure PS performance metrics are aligned with company-level revenue targets, investor reporting, and board narratives.
• As the executive leader accountable for Professional Services strategy, drive the first-year retention, designing services engagement models that accelerate time-to-value while structurally eliminating early churn risk.
• Build predictive churn models and retention frameworks informed by implementation health, adoption signals, and services consumption analytics - and leverage these insights to proactively influence the company-wide retention strategy.
• Establish services attach benchmarks, consumption thresholds, and outcome-based delivery standards that create replicable retention outcomes across segments and geographies.
• Translate services performance data into actionable insights for the ELT, influencing product roadmap decisions, CS motion design, and growth strategy.
• Serve as a strategic partner and peer to Sales, Customer Success, Support, and Product leaders - not merely a cross-functional collaborator, but a co-owner of the post-sale revenue motion.
• Drive services-to-sales alignment by designing pre-sales PS engagement models, enhancing solution design capabilities, and developing commercial packaging that accelerates deal velocity and improves deal quality.
• Champion services innovation, including partner-led models, standardized  service offerings, and AI-enabled execution - to scale PS capacity without proportional headcount growth.
• Represent Hootsuite externally as a professional services thought leader; at industry events, with strategic customers, and with analyst and investor audiences,  elevating Hootsuite’s brand in the services market.
• Define the long term Professional Services talent model, including the skills, structure, and leadership capabilities required to deliver at scale across global markets and customer segments.
• Hire, develop, and retain exceptional PS leaders, cultivating a culture of customer obsession, commercial accountability, continuous learning, and inclusive excellence.
• Drive organizational design decisions that optimize for delivery quality, margin, and scalability, including span of control, specialization models, and geo-based resource allocation.

WHAT YOU’LL NEED:

• 15+ years of progressive leadership experience in technology services, including 10+ years in SaaS with deep expertise in professional services delivery, customer onboarding, and retention strategy.
• Demonstrated success driving IQRR, GRR, and customer health metrics through strategic services design and execution.
• Proven experience leading a services organization, with accountability for revenue, margin, utilization, and investment decisions.
• Expertise in building global service delivery teams at scale, with focus on margin optimization, utilization management, and service innovation.
• Deep experience partnering with Sales and Customer Success teams to align service delivery with commercial outcomes and account strategy.
• Strong operational acumen, with experience owning and optimizing complex project portfolios across multiple geographies and segments. Ability to translate operational data into strategic narrative - for internal ELT audiences, board presentations, and external customer and partner stakeholders.
• Executive presence and influence: proven ability to drive cross-functional alignment, manage senior stakeholders, and act as a key voice in revenue planning.
• High EQ, inclusive leadership mindset, and a track record of building and scaling high-performing, diverse teams.
• Passion for customer value and continuous improvement, balanced with strong business acumen and commercial rigor.
• Commitment to Results: consistently achieves results, demonstrating high performance, and challenging self and others to deliver results
• Customer Focus: demonstrates a desire to proactively help and serve internal/external customers to meet their needs
• Resilience & Adaptability: can effectively cope with change, finding ways to advance work and projects
• Inclusive Leadership: Builds inclusive, cohesive teams which apply diversity to achieve common goals
• Play to Win: Capably delivers results through others, is good at establishing clear direction, helping others achieve their best work
• Long Range Planning: Identifies key issues and relationships relevant to achieving a long-range goal or vision; Builds an integrated plan for course of action to accomplish this vision
• Enablement: Challenges and supports others to create results but also develop new capabilities. Successfully develops the capacity and capability of team and individuals on the team

WHO YOU ARE:

• Solution seeker: You’re focused on tackling new challenges, solving problems, and moving the business forward—and you don’t wait to be asked.
• Lifelong learner: You have a growth mindset – you’re here to learn, experiment, seek, apply, and provide feedback, share what works with your team, and move on from what doesn’t.
• Resilient adapter: In the face of change and challenges, you bring a thoughtful, calm approach, and a focus on finding the new opportunity.
• Intentional collaborator. You build positive working relationships across the business, bringing people together to foster new opportunities and to facilitate the efficient flow of information.
• Critical challenger: You have the trust in your team to ask difficult questions in order to get to the best end result.
• Active communicator: You listen actively and communicate ideas and information clearly, inclusively, and proactively.
• Integrated thinker: You look beyond your role and responsibilities to understand how your team’s work drives broader organizational goals.
• Accountable owner: You take pride in the work you’re responsible for with a mindset of ultimate accountability and reliability for the outcomes.
• Bar-raiser: You step up to help your team grow and succeed, even when that means going beyond what might be expected.

In all we do, our six guiding principles light the way:

Step Up: Dare to go beyond the expected to achieve greatness. #StepUp

One Team: Make Hootsuite a place we soar together by respecting each other's individuality, building trust, and showing up for the team. #OneTeam #FreeToBeMe

Customer Obsessed: Focus relentlessly on helping our customers succeed. #CustomerObsessed

Go Fast, Be Agile: Widen our competitive advantage by committing to speed and simplicity over perfection and complexity. #GoFastBeAgile

Play to Win: Commit to building an incredible, profitable company for our customers, our employees, and our stakeholders. #PlayToWin #NoExcuses

Neighbours & Allies: Give back to our communities and be an ally. #SocialForGood #Allies

Accommodations will be provided as requested by candidates taking part in all aspects of the selection process.

#LI-IA #LI-Hybrid

Head of Defense Growth

Federal / Department of War 

Role Summary 

Red Cell Partners is building something fundamentally different from any other organization in the defense innovation ecosystem: a venture builder designed to identify critical national security problems, build companies around them, and scale those companies into enduring capabilities for the U.S. Department of War and federal government.  

The Head of Defense Growth is the senior leader responsible for translating that ambition into real-world impact. This role sits at the intersection of venture creation, mission problem‑solving, and federal scale‑up. You will define how Red Celland the companies it builds identify opportunities, shape demand, win programs, and grow into long‑term solutions for the American warfighter. 

This is a hands‑on leadership role for someone who wants to build the system, not inherit one. 

About This Role 

This is not a conventional “VP of Sales” or “Head of BD” position. You are not being hired to sell a single product, manage a catalog, or inherit a stale pipeline. You are being hired to rewrite the playbook: to creatively combine capabilities across the Red Cell portfolio, uncover non‑obvious paths to adoption, and solve complex mission problems that do not fit neatly into existing acquisition models. 

We are looking for someone who thrives in fast-moving environments with limited oversight. Someone who can look at an operational gap, a fragmented funding landscape, and an early stage capability and find a way through. 

You will have broad ownership over Red Cell’s public sector growth strategy, with initial focus on Department of War, shaping where we play, how we play, and how we win. That means using the full suite of capabilities across the Red Cell portfolio to deliver next-generation solutions to the warfighter. 

What You’ll Do 

• Define, own, and operationalize Red Cell’s public sector and DoW growth strategy across priority missions, agencies, and acquisition pathways. 

• Lead “left-of-bang” shaping with mission owners, program offices, contracting offices, and other acquisition stakeholders before solicitations exist. 

• Set bid/no-bid decisions and prioritize opportunities across the portfolio. 

• Architect creative solutions that may include leveraging capabilities from multiple portfolio companies with a focus on solving hard mission problems and accelerating adoption. 

• Build and run a scalable BD → Capture → Close growth engine that portfolio companies can plug into. 

• Recruit, mentor, and lead a high‑ownership growth team spanning BD, capture, proposals, and contracts. 

What Success Looks Like 

• A clear, differentiated Red Cell presence across priority DoW and federal mission areas. 

• A portfolio‑wide pipeline that consistently converts early engagement into real programs. 

• Faster transitions from pilot and prototype efforts into enduring programs of record. 

• A repeatable federal growth engine that compounds across multiple ventures—not just one. 

Who You Are 

• A senior public sector growth leader with experience turning complex, technical capabilities into scaled programs. 

• A creative problem‑solver who enjoys working at the edge of structure and inventing new approaches. 

• Comfortable owning ambiguity, making hard calls, and being accountable for outcomes. 

• Mission‑driven, operator‑empathetic, and motivated by solving problems that matter. 

Your background should include senior growth, capture, or federal sales leadership roles at high-growth defense technology companies, next-generation primes, or elite GovCon organizations, but what matters most is your ability to build something new. 

Required Qualifications 

We are looking for a proven public sector growth leader who has personally built, shaped, and closed complex deals, not someone who has only supported the process. 

Experience & Track Record 

• 12–20+ years of private sector experience selling to public sector, at least some of that time in an executive position in either business development, capture, or federal sales, and ideally with a focus on defense or national security. 

• Demonstrated ownership of the full lifecycle from early shaping (“left of bang”) through capture, award, and post‑award expansion. 

• At least $100M+ in cumulative contract value influenced, captured, or closed over the course of a career. 

• History of moving efforts from prototype / pilot / SBIR / OTA into enduring programs of record. 

Contracting & Acquisition Depth 

• Strong working knowledge of DoW and federal acquisition pathways, including hands‑on experience with:  

• FAR / DFARS‑based contracts (FFP, CPFF, T&M, hybrids) 

• OTAs (both prototype and follow‑on production) 

• IDIQs / GWACs / BPAs (e.g., task order strategy, on‑ramping, teaming) 

• Innovation‑focused mechanisms such as SBIR/STTR, BAAs, CSOs, and rapid acquisition authorities 

• Ability to creatively navigate acquisition constraints and identify non‑obvious paths to award and scale. 

Domain & Customer Credibility 

• Deep familiarity working with DoW stakeholders and mission owners, such as:  

• Program Executive Offices (PEOs) or Portfolio Acquisition Executives (PAEs) 

• PMOs / Requiring Activities 

• Combatant Commands, services, or defense agencies 

• Track record of engaging credibly with operators, acquisition professionals, and senior government leadership. 

• Experience selling or scaling technically complex capabilities, such as software platforms, AI/data systems, cyber, EW, autonomy, advanced sensing, or mission‑critical infrastructure. 

Leadership & Operating Model 

• Proven experience acting as a player‑coach - setting strategy while personally driving the most important deals. 

• Experience building or leading BD, capture, proposal, and contracting teams, either directly or in matrixed environments. 

• Demonstrated ability to establish discipline without bureaucracy: clear bid/no‑bid decisions, win themes, pipeline rigor, and accountability. 

Clearance 

• Active U.S. security clearance or ability and willingness to obtain one. 

Location & Travel 

• Strong preference for the Washington, DC metro area (or willingness to relocate). 

• Expect meaningful time in the field shaping, capturing, and closing. This role is a contact sport. 

First 90 Days (High‑Level) 

• Develop a clear Red Cell public sector growth thesis and identify a small number of priority mission areas and pursuits. 

• Launch disciplined shaping and capture efforts on the highest‑leverage opportunities. 

• Stand up the initial BD → Capture → Close operating cadence across the portfolio. 

• Create visible momentum with early wins, clear pipeline ownership, and leadership alignment. 

Final Thought 

Many roles in defense innovation talk about impact. This is one of the rare ones where you can actually create it - by building the growth system that turns bold ideas into real capability for the American warfighter. If you want a role you’reunlikely to find anywhere else in the defense ecosystem, this is it. 

Salary Range: $250,000-$280,000 - This represents the typical salary range for this position based on experience, skills, and other factors.

As a Commercial Account Executive, you will own the full mid-market sales cycle from prospecting and discovery to demonstrations and final negotiations to consistently exceed revenue quotas. You will strategically partner with resellers and channel managers to execute GTM strategies and accelerate new logo acquisition. By developing deep platform expertise and building C-level relationships, you will act as a trusted advisor, prioritizing customer needs to drive long-term success.

What Will You Do?

• Drive revenue growth across your assigned territory through a mix of inbound leads, outbound prospecting, and partner-driven opportunities
• Own the full sales cycle — from discovery to demo to negotiation to close
• Build and expand strong relationships with customers, prospects, and partners
• Collaborate closely with our channel managers and field sales team to create and execute joint go-to-market strategies
• Partner with our world-class reseller ecosystem to accelerate new logo acquisition and grow recurring revenue
• Become a product expert in SentinelOne's cybersecurity platform and stay up to date on the broader market landscape
• Maintain accurate pipeline hygiene and provide reliable forecasts to leadership
• Represent SentinelOne with professionalism, empathy, and insight — always putting the customer first

What skills and experience should you bring?

• 4+ years of success in a high-tech cybersecurity sales role
• A track record of consistently hitting or exceeding quota
• Experience selling to mid-market or commercial accounts
• Ability to navigate complex sales cycles and build trust with C-level decision makers
• Strong collaboration skills and a desire to work cross-functionally with internal teams and partners
• Excellent communication skills — written, verbal, and presentation
• Highly motivated self-starter who thrives in a dynamic, fast-paced environment
• A commitment to doing what’s right for the customer — and your teammates
• Experience working with channel partners or resellers
• Bachelor’s degree or equivalent experience
• This role supports a territory and requires the individual be based in Washington D.C. or the surrounding area.

Why us?

You will be joining a cutting-edge company, where you will tackle extraordinary challenges and work with the very best in the industry.

• Medical, Vision, Dental, 401(k), Commuter, Health and Dependent FSA
• Unlimited PTO
• Industry-leading gender-neutral parental leave
• Paid Company Holidays
• Paid Sick Time
• Employee stock purchase program
• Disability and life insurance
• Employee assistance program
• Gym membership reimbursement
• Cell phone reimbursement
• Numerous company-sponsored events, including regular happy hours and team-building events

The Senior Director, Education and Continuing Professional Development is a visionary leader responsible for strategy, strategic operations, innovation, and execution of a cohesive, data-informed educational experience across ACOG’s educational programming ecosystem, including 1) continuing medical education (CME) and non-CME programming and 2) in-person, virtual, and other asynchronous programs.  This senior leader will work with organizational leadership to ensure educational programming aligns with organizational strategic goals, brand identity, and evolving educational and professional development needs of members.  A thought leader in medical education, workforce, and professional development, including well-being, the Senior Director will work across departments to drive engagement in program development. 

Note: This position is considered Hybrid and will need to commute to ACOG's office located in Washington, D.C.

Supervisory Responsibilities:

• This position does have direct supervisory responsibilities, which may include serving as a coach and mentor for those they supervise.

Duties/Responsibilities:

• Educational Strategy & Innovation
  • Collaborate with the Chief for Education, Workforce, and Well-Being and executive leadership to develop comprehensive strategies for ACOG’s educational and professional development portfolio, ensuring alignment with organizational priorities and goals.
  • Collaborate with organizational leadership, including Publishing and Product Development, Informational Technology, Marketing and Communications, and Membership teams to develop an integrated educational strategy and roadmap that aligns with organizational priorities and brand identity
  • Lead a data-informed approach to decision-making, leveraging web analytics, audience engagement metrics, survey data analysis, and social insights.
  • Contribute as an educational thought leader, evaluating the impact of emerging technologies and innovative approaches to enhance the educational experience of members with ACOG educational content.
• User Experience & Personalization
  • Work with cross divisional leadership to develop and support cohesive, user-centric journeys across platforms and content delivery modes to deliver high-quality educational experiences for ACOG audiences.
  • Maintain a holistic view of the members’ educational journeys, identifying key touchpoints, pain points, and optimization opportunities.
  • Oversee efforts to enhance usability, accessibility, and member acceptability of educational programming through cross divisional efforts.
• Data Strategy & Analytics
  • Collaborate across divisions to inform a comprehensive educational and professional development data strategy for analyzing user interactions and measuring performance across programs
  • Proactively and productively partner with internal teams to establish KPIs and drive continuous improvements in content effectiveness and user engagement
  • Develop dashboards and reports that provide actionable insights to leadership and stakeholders
• Collaboration & Stakeholder Engagement
  • Effectively collaborate with cross-divisional teams to ensure alignment of educational and professional development program strategies with organizational messaging and goals
  • Act as an educational and professional development liaison across departments, ensuring content support of member educational and professional development and overall engagement
• Team Leadership & Program Oversight
  • Provide strategic and operational leadership of the Continuing Professional Development team, fostering a collaborative, high-performing, and mission-driven culture.
  • Develop team capabilities and workflows that support sustainable cross-teams engagement.
  • Serve as senior leader for educational initiatives, ensuring continuity during team transitions, driving milestone execution, and aligning projects with broader organizational goals
• Operations & Content Strategy
  • Prioritize, effectively contribute to, and streamline content development and distribution across internal teams
  • Guide teams in balancing short-term performance needs with long-term growth initiatives
  • Ensure continuous alignment between educational and professional development programming efforts and annual strategic objectives

Required Skills/Abilities:

• Senior management leadership with deep understanding of and experience in medical educational, well-being, and professional development programming.
• Comprehensive knowledge of medical specialty national workforce landscape
• Comprehensive knowledge of continuing medical education accreditation processes and comprehensive experience with ACCME processes and requirements.
• Comprehensive knowledge of scholarly peer review processes necessary for the build of both in-person and asynchronous educational programs.
• Strong business acumen with ability to implement strategic plans and manage operational budgets.
• Excellence in external stakeholder management, including volunteer leadership, external partners, and diverse professional communities.
• Excellence in internal stakeholder management and engagement, including peer staff leadership, direct reports, and diverse staff teams.
• Advanced analytical skills with experience in complex data set visualization, including use of dashboards, that allows data-driven decision making and performance optimization.
• Experience with user research methodologies including interviews, usability testing of programming, and data analysis.
• Outstanding communication skills with ability to present information effectively to diverse audiences, both within and outside of the organization, including medical professionals and senior leadership.
• A collaborative, engaging leadership approach with demonstrated excellence in building teams both within and across unit divisions.

Education and Experience:

• Master’s Degree in education administration preferred, experience in non-profit, medical association experience preferred.
• Minimum 12 years of Director level leadership experience in medical/scientific educational programming, educational content strategy in national professional association leadership.
• Minimum 10 years of senior management experience supervisory responsibilities, with demonstrated excellence in managing multi-disciplinary teams and leadership of complex educational program portfolios.
• Demonstrated experience with peer-reviewed journal and scholarly publishing programming.

Who we are

The role

The day-to-day

• Architect and implement AWS GovCloud infrastructure that meets CMMC Level 2 requirements and prepares us for certification.

• Create, manage, and execute on a roadmap for adopting, modifying, and deploying Helsing's infrastructure patterns and developer tooling. Work with the Core Infra and DevX teams to adopt or create what makes sense for our specific needs.

• Maintain Terraform and IaC tooling, manage Kubernetes workload infrastructure for builds and AI training, and co-develop Python and Rust based developer tools.

• Improve developer productivity by leveraging existing tools and creating new ones. Support DevOps and MLOps workflows, complete with CI/CD automation and CLI tooling.

• Work with vendors, partners, and service providers to integrate third-party tooling while maintaining our security and compliance requirements.

• As a senior member, you will help interview, onboard, and mentor new engineers. Over time, you will contribute to the growth and culture of the infrastructure teams.

You should apply if you

• Have deep experience with AWS, including designing and operating production infrastructure at scale. Experience with AWS GovCloud, or creating compliant AWS infrastructure, is a significant plus

• Are proficient with Kubernetes and have familiarity with Cloud-Native Technologies, like Helm, ArgoCD, or Flux

• Have strong Infrastructure as Code skills, ideally with Terraform, and can design modular, maintainable infrastructure that evolves with compliance requirements

• Can write clean, maintainable code in Python, Rust, or similar languages to build internal tooling and automation

• Communicate effectively in both technical and compliance contexts and can explain architectural decisions to engineers and security posture to auditors

• Thrive in ambiguity and take ownership of outcomes. You don't wait for perfect requirements; you actively seek context, make pragmatic decisions, and iterate based on feedback

• Value operational excellence and understand that infrastructure reliability directly impacts mission success

• Feel that building technology in service of democratic values is meaningful work worth doing

• Can obtain a security clearance (Secret or Top Secret preferred)

• Are able to work in a hybrid environment in Washington, DC, with occasional travel to customer sites or European offices

Note: We operate in an industry where women, as well as other minority groups, are systematically under-represented. We encourage you to apply even if you don’t meet all the listed qualifications; ability and impact cannot be summarized in a few bullet points.

Nice to Have

• Experience with defense compliance frameworks such as CMMC Level 2, FedRAMP Moderate/High, NIST 800-171, or similar security standards

• Experience with MLOps platforms and infrastructure for training and serving machine learning models

• Familiarity with container security, supply chain security, and vulnerability management in production environments

• Understanding of ITAR restrictions and experience building infrastructure that respects export control requirements

• Experience working in air-gapped or disconnected environments

• Background in distributed systems, networking protocols, or embedded computing

• Prior experience in defense, aerospace, or other highly regulated industries

Join Helsing and work with world-leading experts in their fields 

• Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns

• The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world

• Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defense industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward

• In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts

• We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practice responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn’t work, and to take ownership of aspects of our culture that you care deeply about

What we offer

• A focus on outcomes, not time-tracking

• A generous compensation and benefits package (in addition to base salary) that includes, but may not be limited to, insurance coverage (medical and travel), flexible paid time off, paid holidays, and remote and/or hybrid work available depending on position. All compensation and benefits are subject to the terms and conditions of the underlying plans or programs, as applicable and as may be amended, terminated or superseded from time to time.

Helsing is an Equal Opportunity Employer. We will consider all qualified applicants without regard to race, color, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, genetics, or any other characteristic protected by applicable federal, state, or local law.

The Opportunity:

• Own, develop, and execute the product strategy for the end-to-end ad product
• Expansion of our technology footprint in the adtech ecosystem across gaming categories, including net new vertical work
• Take new products to market and drive scaled adoption
• Identify growth opportunities and build strategic partnerships

The Impact You Will Have at Moloco:

• Delivering Delightful Advertiser Experiences: You will understand advertiser needs and pain points, and then lead teams to build intuitive, engaging, and indispensable products. 
• Driving Measurable Business Growth: You will own the P&L for an ad product and directly contribute to key business metrics such as revenue, retention, and RoAS.
• Fostering Innovation and Market Leadership: You would be at the forefront of identifying new market opportunities and technological advancements, guiding teams to innovate and launch features that set new industry standards. This involves anticipating future trends and ensuring the product stays ahead of the competition.
• Strategic Influence Across the Organization: You would serve as a key voice for the advertiser, influencing cross-functional stakeholders from engineering and design to marketing and sales. Your ability to articulate the product vision and rally resources would ensure that product initiatives are well-supported and seamlessly integrated across the company, driving a unified approach to serving our users.

Minimum Qualifications:

• Entrepreneurial and innovative spirit, 0 to 1 experience, this includes experience in a startup-like environment, adaptability, bias for action, and comfort with ambiguity
• End-to-end adtech experience
• Experience taking products to market and driving adoption
• Experience working with cross-functional stakeholders. This includes diving deep and earning the respect of your technical counterparts 
• 7+ years of adtech experience 
• Performance adtech experience 

Preferred Qualifications:

• In-depth understanding of the programmatic advertising landscape, including DSPs, SSPs, ad exchanges, ad servers, DMPs, CDPs, and other key components
• Experience with various ad monetization models (e.g., impression-based, click-based, performance-based) and how ad serving works
• Understanding of data privacy regulations (e.g., GDPR, CCPA) and their impact on advertising practices, as well as the responsible use of first-party and third-party data
• Familiarity with different ad formats (display, video, native, in-game ads) and an ability to drive innovation in ad experiences that are user-friendly
• Mobile adtech experience is preferred

The Opportunity: 

• Moloco Ads is seeking a seasoned Director of Product Management to lead and scale our global Supply Product organization. This leader will own the multi-year strategy, roadmap, and execution across:
  • Supply Exchange & Inventory Integrations: Drive Moloco’s OpenRTB integrations with top-tier third-party supply partners and exchanges, expanding Moloco’s access to high-quality, global, multi-format inventory across gaming and non-gaming verticals
  • Lead Moloco’s end-to-end General Supply strategy, including Exchange integrations, OpenRTB supply diversification, publisher onboarding, and supply ecosystem expansion.
  • Define, evangelize, and deliver a multi-year supply vision that improves supply quality, scalability, integration reliability, and long-term differentiationPartner with and influence a 100+ engineering organization across the US and Korea, setting product direction and ensuring alignment across teams

Minimum Qualifications:

• 10+ years of Product Management experience in programmatic adtech, with demonstrated success shaping strategy and leading high-impact product areas at scale
• Deep expertise in the programmatic supply ecosystem, including ad exchanges, SSPs, OpenRTB protocols, auction mechanics, and cross-platform integration
• Extensive hands-on experience with Exchange, SSP, or OpenRTB integrations, owning the partner lifecycle end-to-end
• Strong technical fluency—capable of guiding decisions on supply architecture, ad serving flows, bidder interactions, latency and yield optimization, and OpenRTB integration patterns
• Demonstrated ability to drive cross-org alignment, influence senior stakeholders (Directors/VPs), and execute through large engineering teams
• Experience leading complex, multi-year roadmaps in ambiguous, high-velocity environments

Preferred Qualifications:

• Degree in Computer Science, Statistics, or a related technical or analytical field
• Deep understanding of publisher business models and monetization needs, including their concerns around ad fraud and the tools commonly used for mitigation
• Strong market analysis skills to identify competitive advantages, emerging technologies, and supply-side trends—particularly around evolving fraud tactics (e.g., SIVT, domain spoofing, ad stacking, click farms) and anti-fraud solutions
• In-depth knowledge of Supply-Side Platforms (SSPs): their core functionality, technical architecture, and competitive landscape
• Demonstrated ability to identify, negotiate, and scale strategic supply partnerships that generate meaningful business impact
• Proven ability to lead cross-functional execution in fast-paced, ambiguous environments, aligning stakeholders and partnering with global teams across GTM and roadmap cycles.
• Expertise in Header Bidding and Server-to-Server (S2S) Bidding, with a strong understanding of implementation tradeoffs, yield optimization, and latency management
• Familiarity with publisher-side ad servers: key integration points, targeting logic, and impression delivery mechanics
• Hands-on experience with integrations and partner-facing APIs, including defining requirements for interoperability with DSPs, exchanges, ad networks, DMPs, and other adtech partners
• Deep knowledge of supply-side performance metrics such as fill rate, eCPM, latency, bid density, impression opportunities, and unique users—and how to optimize for them
• Technical understanding of ad serving mechanics: from ad request to creative rendering

The Impact You'll Be Contributing to Moloco:

• Define and scale Moloco’s General Supply strategy, ensuring Moloco Ads becomes a top-tier, diversified, high-performance supply destination
• Own the roadmap, PRDs, and value proposition across Exchange integrations, OpenRTB supply, supply expansion, and integration infrastructure
• Lead strategic and operational execution across engineering, data science, GTM, and regional teams to deliver measurable business impact
• Synthesize complex supply-side and partner data into insights that inform long-term product direction and operational excellence
• Monitor ecosystem shifts—including identity, privacy, bidding mechanics, rendering requirements, and publisher concerns—and translate trends into roadmap decisions
• Drive partner integration strategy, defining how external supply partners integrate with Moloco’s systems to maximize performance and differentiation.

Expression of Interest

We know that for the most talented engineers, the right opportunity is about more than just a job title, it’s about the right challenge at the right time. Even if our current openings don't perfectly fit your timing and interests today, we still want to hear from you. We view this as a priority pathway to connect with curious, driven MLEs whose unique expertise can help us architect the next generation of planet-scale ML systems. 

At Moloco, our mission is to empower the global digital economy by turning massive first-party data into measurable business outcomes. Whether it’s optimizing real-time bidding for Moloco Ads or building AI-native stacks for Streaming and Commerce, we’re looking for engineers to help us lead the shift toward a more performance-driven, AI-powered internet.

If you’re excited to scale and innovate in a fast-moving environment, share your profile and we will reach out the moment we see a potential match for your experiences and future goals.

About the Role

As a Machine Learning Engineer at Moloco, you will design, train, and deploy the large‑scale models that power our programmatic advertising and commerce media products. You will work at the heart of our real-time bidding and pricing systems, helping shape an end-to-end ML ecosystem that processes billions of daily events. Your work will directly improve marketplace performance for global advertisers and publishers by optimizing for relevance, ROI, and user experience at a scale few companies can match.

The Opportunity

• Architect and iterate on high-performance models that improve ad relevance, click-through rates, and conversion performance.
• Productionize and maintain scalable ML pipelines - from data ingestion to online inference - on top of planet-scale infrastructure.
• Extract insights from massive datasets of user behavior and auction signals to define new features and refine modeling strategies.
• Translate business goals (revenue, ROI, engagement) into concrete modeling challenges and success metrics in collaboration with Product and Data Science.
• Validate innovation through rigorous experimentation, including A/B tests, offline evaluations, and counterfactual analyses.
• Balance marketplace health by implementing models that harmonize advertiser value with a high-quality user experience.
• Enhance system reliability by refining feature stores, monitoring data quality, and establishing robust debugging practices.
• Drive platform evolution, contributing to ML tools and guidelines that increase experimentation velocity and deployment speed.
• Optimize for performance, partnering with Infra teams to reduce latency and improve throughput for low-cost, high-scale decisioning.
• Elevate technical excellence by sharing best practices in modeling and production ML with the broader engineering team.

Expertise We Value:

MLEs at Moloco are hands-on builders of some of the world’s highest-scale ML workloads. They bridge technical innovation with global revenue outcomes, owning the critical systems that define our next generation of machine learning and optimization platforms.

While every journey is unique, we find that the most successful MLEs at Moloco bring a deep technical foundation in the following areas:

• Production ML at Scale: 5-12+ years of experience delivering ML solutions in high-stakes production environments (e.g., Ads, Recommenders, Search, or Marketplaces), with a track record of scaling models for massive throughput and low-latency requirements.
• Algorithmic Mastery: A strong foundation in ML and statistics applied to real-world business challenges, with expertise in areas such as ranking, calibration, exploration-exploitation, causal inference, or multi‑objective optimization.
• Full-Lifecycle Engineering: Deep understanding of the end-to-end ML lifecycle, including data pipelining, feature engineering, model architecture, inference optimization, and the deployment of models into online systems.
• Technical Versatility: Proficiency across a modern ML toolkit (Python, SQL, and frameworks like TensorFlow or PyTorch) and experience leveraging data processing stacks like Spark, Beam, or Flink to deliver results at scale.
• Operational Stewardship: Experience ensuring the long-term health of ML systems in live environments—monitoring performance, diagnosing drift, and iterating based on real-world feedback to maintain measurable impact.
• Technical Mentorship: A passion for advancing the team’s collective bar by sharing best practices for large-scale ML systems and guiding the technical direction of complex machine learning initiatives.

Our Tech Stack:

• Languages: Python, Go, C++
• ML Frameworks: TensorFlow, PyTorch, JAX
• Infrastructure: GCP, AWS, Kubernetes, Spark, BigQuery, BigTable

How You Work: 

• Your ethos is ownership
• You thrive in ambiguity and enjoy partnering with others to shape vague requirements into clear roadmaps with pragmatic tradeoffs.
• You take shared accountability for the end-to-end journey; communicating progress, surfacing risks early, and following through to ensure your work creates measurable value.
• You demonstrate strong judgment under uncertainty. 
• You prioritize based on long-term impact, over short-term noise, making deliberate decisions when information is incomplete.
• You explicitly weigh tradeoffs like speed vs. quality and remain agile enough to adjust your approach thoughtfully as new information/data emerges.
• You lead through clarity and active listening. 
• You reduce ambiguity for the team by asking the right questions upfront, tailor your communication to your audience, document your decisions, and bring helpful structure to complex discussions. 
• You provide thoughtful, evidence-based feedback when needed and align behind decisions once they are made.
• You collaborate early, instead of solving in isolation.
• You build trust across the organization by listening first and navigate conflicting needs with empathy, creating buy-in around priorities and scope. 
• You navigate technical tensions productively, disagreeing thoughtfully while maintaining momentum and strengthening professional relationships.
• You fall in love with the problem, not the solution
• You build for the long run, looking beyond immediate tasks to understand root causes, second-order effects, and the long-term health of our ML ecosystem. 
• When something breaks, you don’t just patch it; you seek structural improvements that prevent recurrence and elevate the technical bar for the entire organization.
• You prioritize customer impact and take action to make it real.
• You prioritize effective solutions that drive business impact over technical elegance, spotting opportunities that others might overlook. 
• You have the initiative to turn ideas into outcomes and the agency to identify and fix gaps, even when they aren’t yet on the formal roadmap.

You can apply for this role through our Open Positions page (or through our Internal Job Board if you are a current employee). We will review submissions on an ongoing basis.

The Impact You’ll Be Contributing to Moloco

You will lead the product strategy for CTV User Understanding within Moloco Ads, building the foundational capabilities that power identity, features, and signals across our machine learning-driven ads platform.

This includes defining how we:

• Establish durable, privacy-conscious identity across devices (e.g., connecting CTV environments with mobile signals)
• Extract maximum value from 1P and 3P data sources (e.g., UPT, Lotame, and future signals)
• Enable advertisers to use their 1P data to target and exclude specific audiences at scale

Your work will directly influence model performance, targeting accuracy, and overall advertiser outcomes across Moloco’s ecosystem.

The Opportunity

As a Group Product Manager at Moloco, you will operate at the intersection of machine learning, large-scale data systems, and performance advertising. You’ll partner closely with engineering and data science to define and execute on a roadmap that turns complex data into measurable business impact.

This role requires a first-principles thinker who thrives in ambiguity, can context switch effectively, and has a track record of building and scaling products from 0→1 through growth. You will own a critical, horizontal layer of the ads stack and play a key role in shaping the future of targeting and identity in a privacy-first world.

How Do I Know if the Role is Right For Me?

• 9–12 years of experience, with 8+ years in Product Management
• Proven track record owning platform, infrastructure, or data-driven products end-to-end
• Experience defining ambiguous problem spaces and translating them into clear product strategies
• Strong analytical mindset with the ability to make decisions in data-sparse environments
• Deep curiosity about customer needs and ability to translate them into scalable solutions
• Comfortable operating in fast-paced, highly collaborative, and globally distributed teams
• Experience in ad tech, CTV, identity, targeting, or machine learning systems is strongly preferred
• Track record of building and scaling B2B products, ideally in high-growth environments

The Opportunity: 

We are looking for a seasoned Group Product Manager to lead a critical and highly strategic charter for Supply Quality & Fraud Mitigation Across All Moloco Ads:

• Own the end-to-end product strategy and multi-year roadmap for Moloco’s Supply Quality & Invalid Traffic (IVT) platform
• Establish fraud and supply-integrity standards across all Moloco Ads supply sources, ensuring consistent detection, prevention, and enforcement
• Evaluate, select, and manage third-party fraud/IVT detection partners, owning vendor strategy, tradeoffs, and integration requirements
• Build in-house fraud and invalid-supply detection/mitigation systems where strategic, technical, or performance advantages justify internal investment
• Define and operationalize internal workflows and enforcement mechanisms to ensure scalable, consistent classification, mitigation, and quality control
• Partner closely with Engineering, Data Science, Policy, Business Operations, and GTM teams to ensure Moloco maintains industry-leading supply integrity protections for advertisers

Minimum Qualifications:

• 7+ years of experience in product management related to programmatic adtech
• Programmatic adtech ecosystem expertise, with a specific focus on supply-side mechanics
• Deep understanding of how ad exchanges operate, OpenRTB standards, and how SSPs connect into DSP systems
• Experience owning integrations with external exchanges, SSPs, or SDK-based supply
• Hands-on experience designing, deploying, or managing IVT detection methodologies and fraud prevention strategies within programmatic advertising environments

Preferred Qualifications:

• Degree in Computer Science, Statistics, or a related technical/analytical field
• Deep understanding of publisher monetization models and their fraud/IVT concerns
  
  
• Strong market analysis capabilities—particularly in fraud tactics (SIVT, domain spoofing, ad stacking, click farms) and anti-fraud solutions
• Experience evaluating and managing third-party vendor solutions and strategic partnerships
• Proven leadership driving cross-functional execution across engineering, data science, GTM, and operations
• Familiarity with publisher ad servers, targeting logic, and impression delivery workflows
• Hands-on experience integrating external fraud/IVT detection partners or verification signals into internal systems—including ingestion, classification, and enforcement workflows
• Deep understanding of supply-side performance metrics such as fill rate, bid density, latency, inventory quality signals, and how IVT mitigation impacts them
• Technical understanding of ad-serving mechanics from bid request to creative rendering

The Impact You'll Be Contributing to Moloco:

• Own and drive the multi-year roadmap for Moloco’s Supply Integrity and IVT platform
• Launch fraud detection and mitigation capabilities that protect advertisers and ensure high-quality supply
• Partner with Engineering, Data Science, GTM, Ops, Legal, and Policy to deliver high-impact solutions
• Leverage internal and external signals to inform strategy, detection models, and enforcement mechanisms
• Stay ahead of emerging IVT threats and industry trends, defining new standards and protections
• Build scalable operational workflows for classification, enforcement, monitoring, and issue response
• Define integration requirements for third-party fraud/verification partners
• Resolve supply-integrity issues and implement long-term, systemic fixes

About the Role

The impact you'll be contributing to Moloco:
The Research Science (RS) team focuses on the operation and optimization of our software systems working closely with infrastructure engineering teams, machine learning teams and data science teams. As an Applied Scientist, you will participate as an individual contributor on research projects alongside other research scientists within the context of a group of cross functional collaborators working in complex multi-causal environments to identify inefficiencies, analyze potential options, and propose solutions. Your work will contribute to driving performance improvements and cost reductions, debugging and investigating production issues, and stabilizing our core system as you develop a deep end-to-end understanding of the system.

Here’s what you’ll be working on:

• Work with other applied scientists on projects to evaluate the health of both internal and external components to make sure the Moloco system is running safely and efficiently.  
• Learn from your senior peers how to identify new areas to improve our infrastructure and machine learning components by understanding internal system changes, external changes, and data changes, and identify and suggest interesting/useful next steps for your projects.
• Complete task as part of larger projects to complete deep unbiased analyses.  
• Implement, and evaluate new algorithms and features in collaboration with senior Applied Scientists, Software Engineers and Machine Learning Engineers.

Basic Qualifications:

• Advanced degree in Computer Science, Mathematics or related field, or industry experience in optimization of market prices or ML systems
• At least 4 years of engineering or applied science experience
• Proficient verbal and written English communication skills, with the ability to contribute to the creation of presentations and reports
• Quick understanding of new information and the demonstrated ability to learn new technical skills across engineering, machine learning, and data science 
• Track record of building positive relationships with collaborators and stakeholders and working effectively with cross-functional partners in a global company

The Impact You’ll Be Contributing to Moloco: 

The Customer Engineering (CE) team at Moloco partners with the Business Development (BD) and Product/Engineering teams to be the trusted technical advisors for Moloco’s clients. You will help the retail media platform owners to successfully build an in-house advertisement business for clients using the Moloco Commerce Media (“MCM”), a machine learning-powered AdTech solution. 

Within the MCM org, the Customer Engineering team (CE) is responsible for driving the successful adoption of Moloco Commerce Media, serving as GTM champions and technical experts. The CE team will drive the successful adoption of our products by advising clients on the best technical implementation and delivering training, architecture design consultations, and best practices. The CE team identifies gaps in the product, develops technical solutions, and communicates feature requests to product, engineering, and other cross-functional partners to shape product direction.

The Opportunity: 

• Be the trusted technical advisor for clients by offering guidance on platform integration, optimization, and troubleshooting.
• Understand clients' business objectives and challenges to provide tailored technical solutions and recommendations.
• Collaborate with BD teams to support pre-sales activities, including product demonstrations, technical consultations, and solution design.
• Lead technical implementation projects, including platform setup, configuration, and customization, to meet clients' requirements and deadlines.
• Conduct training sessions and workshops to educate clients on best practices, new features, and industry trends.
• Proactively identify opportunities for process improvement, feature enhancements, and product innovation based on client feedback and market insights.
• Stay abreast of industry developments, emerging technologies, and competitive landscape to maintain a deep understanding of the AdTech ecosystem.

How Do I Know if the Role is Right For Me? 

• 8+ years of professional experience within cloud, software, or machine learning domain areas like software engineering, systems engineering, machine learning, cloud infrastructure architecture, networking, security, data and analytics. 
• 5+ years in technical field roles – like Solutions Architect, Customer Solutions Engineer or Professional Services Consultant – in the retail or the AdTech industry.
• 3+ years of hands-on implementation, architecture design, or consulting experience in the application or the cloud infrastructure. 
• Strong technical and problem-solving skills, the ability to understand and troubleshoot systems and application flows, dive deep into complex problems & find their root cause.
• Experience in a technical role within the AdTech industry, preferably with hands-on experience in ad serving platforms, programmatic advertising, or related technologies.
• Comfortable communicating technical concepts to both technical and non-technical audiences.
• Demonstrated experience to autonomously identify goals and effectively deliver the goals along with the cross-functional internal and external stakeholders.

The impact you'll be contributing to Moloco:
Product Analytics Data Science (PDS) is the data science team that works closely with the R&D team on our core Ads product. As a Senior Data Scientist, you will drive performance improvement in our product through a deep understanding of the ads ecosystem (supply, demand, bidding, fraud detection) and customer needs, and provide the data driven insight and scientific solutions.

Here’s what you’ll be working on:

Our team is responsible for:

• Conducting deep-dive analysis to influence R&D decisions and strategies: analyzing large datasets with queries and scripts, extracting valuable signals out of noise, and producing actionable insights into how we could improve Moloco’s complex ML and bidding system to drive outcomes for customers. 
• Evaluating ads integrity: understanding changes and drivers of our complex systems, diagnosing fraud claims and mitigating fraud escalations through a set of input/output metrics of each component.
• Building the right metrics to measure campaign health: improving campaign performance monitoring by establishing the right metric framework, and understanding cause-and-effect relationships across drivers

Basic Qualifications

• Distinctive problem-solving skills, ability to articulate product questions, pulling data from large datasets and using statistics to arrive at a recommendation; ability to manage multiple projects at the same time. 
• Proven ability to own complex projects end-to-end, even when you have to get creative: you do more than completing delegated tasks and always pay attention to detail to translate analysis results into business recommendations. 
• Excellent verbal and written communication skills, with ability to present information and analysis results effectively.
• Statistics: strong knowledge and experience in experimental design, hypothesis testing, and various statistical analysis techniques such as regression or linear models.
• Programming: experience with Python, R or other scripting language, and database language (e.g. SQL) or data manipulation (e.g. Pandas, Dplyr).
• Ability to build positive relationships within the DS team and with our stakeholders, and work effectively with cross-functional partners in a global company.
• 6+ years of work experience (industry or postgraduate) in data science related fields or an advanced degree such as Master’s or PhD in a quantitative discipline with 4+ years of experience.

Bachelor’s, Master’s and/or PhD in a quantitative discipline (e.g. Statistics, Operations Research, Economics, Computer Science, Mathematics, Physics, Electrical Engineering, Industrial Engineering).

The Impact You’ll Be Contributing to Moloco:

As a Senior Machine Learning Engineer on Moloco’s Ads Quality team, you’ll design and scale machine learning systems that directly improve ad relevance, ranking, and optimization. Your work will have a measurable impact on advertiser performance, revenue efficiency, and the overall user experience across Moloco’s ad platform.

The Opportunity:

• Design, build, and deploy large-scale ML systems for ad ranking, click-through prediction, and conversion optimization
• Develop and operate production pipelines that process hundreds of millions of ad requests per day with low-latency requirements
• Collaborate directly with customers and partners in Mandarin to understand business goals and deliver data-driven ML solutions
• Apply systematic, reproducible approaches to model training, evaluation, and continuous improvement
• Partner with the Machine Learning Infrastructure and Data teams to improve tooling, deployment pipelines, and training efficiency
• Lead design and code reviews to promote technical excellence and standardize ML practices across Ads teams
• Diagnose model performance, identify optimization opportunities, and execute experiments that drive measurable results
• Mentor engineers on best practices for ML experimentation, productionization, and scaling
• Work cross-functionally with product, infrastructure, and business teams to align technical innovations with product goals

How Do I Know if the Role is Right For Me?

• You have 7+ years of experience building and deploying ML systems at scale, ideally in AdTech, recommender systems, or search/ranking domains
• You’ve shipped models that directly improved key product or business metrics such as CTR, CVR, or ROI
• You’re fluent in Mandarin Chinese and skilled at collaborating with customers or partners in technical discussions
• You have strong software engineering fundamentals: data structures, algorithms, and system design and proficiency in Python (C++ or Java a plus)
• You’re experienced with modern ML frameworks such as PyTorch, TensorFlow, or JAX
• You’ve worked with distributed data and compute systems like Apache Beam, Dataflow, or Flume
• You understand how to build robust ML pipelines including data versioning, feature engineering, retraining, and model monitoring in production
• You have experience optimizing inference performance on GPUs, TPUs, or similar hardware accelerators
• You thrive in fast-moving, ambiguous environments and can translate complex technical work into measurable business outcomes
• You value collaboration, accountability, and building systems that scale across teams and markets

The Impact You’ll Be Contributing to Moloco
Help shape the end-to-end experience of Moloco’s Commerce Media products by designing intuitive, data-informed workflows that enable retailers and merchants to unlock the full value of their advertising and retail media programs.

This is a senior IC role with meaningful autonomy and influence. You'll help shape the team's roadmap, navigate ambiguity, and partner closely with Product, Engineering, and other cross-functional stakeholders to craft experiences that directly drive business outcomes and growth for Moloco Commerce Media.

The Opportunity

• Define and iterate on core product experiences across Moloco Commerce Media — from advertiser-facing campaign management to retailer-facing admin tools — balancing usability with the realities of a complex, data-heavy product.
• Translate ambiguous, multi-sided problems into clear workflows, interaction patterns, and prototypes that move product strategy forward.
• Lead end-to-end design cycles  from discovery through prototyping and shipped execution in close partnership with Product, Engineering, and Data.
• Push the product forward beyond where it is today by surfacing opportunities, advocating for new bets, and helping decide what we build next.

How Do I Know if the Role is Right For Me?

• Bring 6+ years of professional product design experience, shipping complex product experiences in B2B, analytics, fintech, or adtech/commerce platforms at scale.
• A track record of framing ambiguous problems and using research, data, and experimentation to refine solutions over time.
• Comfortable using AI across your daily design practice from discovery, ideation, to validation. 
• Communicate clearly and proactively, using storytelling and prototypes to make complex concepts legible and align stakeholders.
• Collaborate effectively with cross-functional partners (Product, Engineering, Data) to balance user needs, technical constraints, and business goals to drive product quality and usability across complex and analytical surfaces. 
• Strong interaction and product design craft, with a high bar for shipping production-quality work.
• Track record of working with or contributing to a design system, evolving patterns as the product matures.
• Passionate about mentoring other designers and contributing to strengthening the team culture.
• A growth mindset. You seek feedback often, change your mind when the evidence says to, take ownership of outcomes, and stay productive when priorities shift.

The Impact You’ll Be Contributing to Moloco

You will own the product strategy for CTV Advertiser Success within Moloco Ads, building the capabilities that help advertisers understand, trust, and improve campaign performance.

This includes:

• Owning the roadmap for insights and reporting products that deliver reliable, transparent, and actionable data to advertisers for campaign performance
• Driving advertiser outcomes by partnering with Data Science to analyze, diagnose, and improve campaign performance
• Developing integrations with key partners across the CTV measurement ecosystem to enable holistic performance visibility

Your work will directly influence advertiser trust, performance outcomes, and long-term adoption of Moloco’s CTV solutions.

The Opportunity

As a Senior Product Manager at Moloco, you will work at the intersection of ads performance, data, and measurement. You’ll partner cross-functionally with engineering, data science, and business teams to define and execute a roadmap that makes campaign performance more transparent and actionable for advertisers.

This role requires strong product execution, the ability to translate complex data into intuitive user experiences, and a deep understanding of advertiser needs. You will play a key role in shaping how Moloco delivers insights, reporting, and ecosystem connectivity in a rapidly evolving CTV landscape.

How Do I Know if the Role is Right For Me?

• 4–8 years of experience in Product Management or closely related roles in ad tech, data products, or performance marketing
• Experience working with campaign performance data, analytics, or measurement systems
• Strong ability to translate complex data into clear product experiences and insights
• Proven track record of driving cross-functional execution with engineering, data science, and business teams
• High attention to detail with a strong sense of ownership and accountability
• Comfortable operating in ambiguous, fast-paced environments
• Experience with CTV, programmatic advertising, or measurement/attribution ecosystems is strongly preferred
• Strong communication skills with the ability to influence stakeholders and align teams around product direction

About the Role

The Ads Applied Data team builds and scales the foundational data infrastructure that powers Moloco’s advertising platform. As a Senior Software Engineer, you will design, develop, and optimize distributed data systems for real-time and batch processing, ensuring reliable and low-latency delivery of data across the ads ecosystem. You’ll work closely with Product, ML, and Data Science teams to enable feature engineering, identity resolution, and advanced user signal enrichment across online and offline pipelines.

Responsibilities

• Design and build large-scale distributed systems for data ingestion (Petabyte-scale), transformation, and serving.
• Partner with ML and Serving teams to support feature engineering workflows, connecting offline data to serving systems.
• Contribute to the evolution of Feature Infra / Feature Store, ensuring scalability, discoverability, and consistency of feature data.
• Collaborate on Identity Graph construction to unify user and device identifiers for more effective signal enrichment and targeting.
• Improve system observability, resilience, and performance in high-throughput, low-latency environments.
• Mentor engineers and help define best practices for data and backend engineering.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, or equivalent technical field.
• 5+ years of software engineering experience with one or more modern languages (Java, Kotlin, Go, C++, C#, or Python).
• Proven experience designing and building large-scale distributed systems and backend services.
• Hands-on experience with data processing frameworks such as Apache Beam, Dataflow, or Spark, and orchestration tools like Airflow.
• Strong understanding of cloud infrastructure (GCP, AWS, or Azure) and data storage technologies (BigQuery, Bigtable, Redis, GCS, Kafka, Pub/Sub).
• Demonstrated experience delivering impactful projects through collaboration with cross-functional teams (Product, ML, Data Science).

Preferred Qualifications

• Experience with Feature Infra / Feature Store architecture and operations.
• Experience in Identity Graph design and construction to enhance user signal quality.
• Deep familiarity with AdTech or Machine Learning infrastructure domains.
• Experience working with Petabyte-scale data and high-availability systems.

About the Team:

The Ads Platform, Experiment team owns Moloco's company-wide experimentation infrastructure. We build the systems that help teams roll out changes safely, measure impact rigorously, and make better product and business decisions with confidence.

Our scope spans experiment lifecycle management, dynamic configuration and feature flag delivery, and the data pipelines and statistical tooling that power experiment analysis. We work at the intersection of backend infrastructure, data systems, and internal product development, partnering closely with engineers, data scientists, and statisticians.

About the Role:

As a Senior Software Engineer on the Experiment Platform team, you will lead the design and evolution of high-leverage systems that shape how Moloco runs experiments across products. You will own important technical areas end-to-end, drive sound engineering decisions in ambiguous problem spaces, and build platforms that improve the speed, safety, and trustworthiness of experimentation company-wide.

This role is well-suited for engineers who combine strong execution with technical judgment, enjoy working across backend and data system boundaries, and want to raise the quality bar for an internal platform used by many teams.

Responsibilities:

• Lead the design and implementation of major components across experiment management services, configuration delivery systems, and analysis pipelines.  
• Own technical decisions for platform areas that require balancing correctness, reliability, performance, and ease of adoption.  
• Improve the trustworthiness of experimentation by strengthening system design, observability, data quality, and operational standards.  
• Partner closely with engineers, data scientists, statisticians, and stakeholders to turn ambiguous requirements into scalable platform capabilities.  
• Mentor other engineers through design discussions, code reviews, and pragmatic technical leadership.

Minimum Qualifications:

• 5+ years of professional software engineering experience in a production environment.
• Strong hands-on experience in backend systems, data infrastructure, distributed systems, or other relevant platform areas.
• Proven ability to independently drive technical projects from problem definition through production rollout in ambiguous problem spaces.
• Strong engineering judgment in system design, operational reliability, maintainability, and cross-functional execution.
• Bachelor's degree in Computer Science, Computer Engineering, or equivalent practical experience.

Preferred Qualifications:

• Experience designing and implementing experimentation platforms, A/B testing systems, feature flagging systems, or dynamic configuration platforms.
• Experience owning platform or infrastructure systems used by multiple engineering teams.
• Experience working with analytical data systems, metrics pipelines, or data quality and correctness challenges.
• Familiarity with advertising, mobile product ecosystems, or performance-driven product environments.

The impact you'll be contributing to Moloco:
Product Analytics Data Science (PDS) is the data science team that works closely with the R&D team on our core Ads product. As a Staff Data Scientist, you will drive performance improvement in our product through a deep understanding of the ads ecosystem (supply, demand, bidding, fraud detection) and customer needs, and provide the data driven insight and scientific solutions.

Here’s what you’ll be working on:

• This leader will own the multi-year strategy, roadmap, and execution across the ads supply ecosystem:
  • Supply Exchange & Inventory Integrations: Drive Moloco’s OpenRTB integrations with top-tier third-party supply partners and exchanges, expanding Moloco’s access to high-quality, global, multi-format inventory across gaming and non-gaming verticals.
  • Lead Moloco’s end-to-end General Supply strategy, including Exchange integrations, OpenRTB supply diversification, publisher onboarding, and supply ecosystem expansion.
  • Define, evangelize, and deliver a multi-year supply vision that improves supply quality, scalability, integration reliability, and long-term differentiation
• Conducting deep-dive analysis and experiments to influence product decisions and strategies: analyzing large datasets with queries and scripts, extracting valuable signals out of noise, and producing actionable insights into how we could improve Moloco’s complex ML and bidding system to drive outcomes for customers.

Basic Qualifications

• Distinctive problem-solving skills, ability to articulate product questions, pulling data from large datasets and using statistics to arrive at a recommendation; ability to manage multiple projects at the same time. 
• Proven ability to own complex projects end-to-end, even when you have to get creative: you do more than completing delegated tasks and always pay attention to detail to translate analysis results into business recommendations. 
• Excellent verbal and written communication skills, with ability to present information and analysis results effectively.
• Statistics: strong knowledge and experience in experimental design, hypothesis testing, and various statistical analysis techniques such as regression or linear models.
• Programming: experience with Python, R or other scripting language, and database language (e.g. SQL) or data manipulation (e.g. Pandas, Dplyr).
• Ability to build positive relationships within the DS team and with our stakeholders, and work effectively with cross-functional partners in a global company.
• 6+ years of work experience (industry or postgraduate) in data science related fields or an advanced degree such as Master’s or PhD in a quantitative discipline with 4+ years of experience.

Preferred Qualifications:

• Advanced degree. PhD is highly desirable. 
• Deep expertise in the programmatic supply ecosystem, including ad exchanges, SSPs, OpenRTB protocols, auction mechanics, and cross-platform integration
• Demonstrated ability to drive cross-org alignment, influence senior stakeholders (Directors/VPs), and execute through large engineering teams
• Familiarity with publisher ad servers, targeting logic, and impression delivery workflows
• Deep knowledge of supply-side performance metrics such as fill rate, eCPM, latency, bid density, impression opportunities, and unique users—and how to optimize for them
• Hands-on experience with integrations and partner-facing APIs, including defining requirements for interoperability with DSPs, exchanges, ad networks, DMPs, and other adtech partners

The impact you'll be contributing to Moloco:

Creatives are one of the highest-leverage levers in Moloco Ads: they shape what users see, how they interact, and ultimately how much value advertisers extract from our platform. As formats grow more complex (video, playables, rich HTML) and surfaces diversify across exchanges, SDK, and new inventory types, our creative systems must do more than just serve assets — they must learn, adapt, and guide advertisers toward better outcomes.

This space sits at the intersection of ML/bidding, supply, and UI/UX for advertisers. Strong product decisions here directly influence company toplines, ROAS and advertiser retention. At the same time, weak creative strategy can quietly erode performance, create operational noise, and diminish trust in our optimization systems. We need a Staff Product Data Scientist who can bring structure, rigor, and long-term thinking to this inherently noisy problem space.

The person will be the analytical and product thought partner for the Creatives team, owning the data narrative across ideation, launch, and iteration of creative features and strategies. This is not a “support” role; it is a co-owner of the creative roadmap.

Here’s what you’ll be working on:

This role is critical to ensuring that Moloco’s creative systems become a long-term competitive advantage, not just a collection of formats and features.

• Be recognized as a thought leader in the creative domain, someone whose perspective is actively sought when making high-stakes product calls. For example, influence which creative problems we choose to solve, not just how we measure the outcomes.
• Establish a trusted, repeatable framework for measuring creative impact that the organization rallies around. This will enable PM/ENG to ship creative features faster and with more confidence, backed by well-designed experiments and clear success criteria.
• Reduce ad-hoc fire drills by building durable monitoring, diagnostics, and documentation that make creative performance and adoption more transparent.

Minimum Qualifications

• Bachelor’s degree in a quantitative field (e.g., Statistics, Computer Science, Economics, Physics) or equivalent practical experience.
• 8+ years of experience (or PhD + 6 YoE) in data science, product analytics, or a closely related quantitative field, including significant time as a product-facing IC.
• Proven track record of partnering with Product and Engineering to shape roadmaps, define success metrics, and drive decisions through data.
• Demonstrated ability to operate with high ownership and autonomy, including scoping ambiguous problems and driving them to closure.
• Comfort working across time zones and with distributed teams, using strong async communication and documentation habits.

Preferred Qualifications

• Graduate or PhD degree in a quantitative field (e.g., Statistics, Computer Science, Economics, Physics) or equivalent practical experience with 10+ years of experience in related fields. 
• Prior experience in ad tech, marketing science, or related domains where creatives, auctions, or optimization systems are central to performance.
• Hands-on experience with creative analytics (e.g., format benchmarking, asset-level performance analysis, interaction or engagement modeling).
• Experience collaborating closely with ML teams to design, evaluate, and iterate on model features and policies.
• Excellent communication skills: ability to synthesize complex analytical findings into simple, actionable narratives for technical and non-technical audiences.

About the Role:

We are looking for a Staff Software Engineer to join our Ads Data Warehouse team, which builds and evolves the core data infrastructure that powers all data-driven products and analytics across the company.

The Data Warehouse team is responsible for foundational systems such as data lineage, data catalog, access control, and compliance frameworks—enabling teams to securely and efficiently leverage data for decision-making, analytics, ML modeling, and Ads optimization.

As a Staff Engineer, you will define the technical vision and strategy for the Ads Data Warehouse, ensuring that our infrastructure scales to meet the growing complexity of our Ads ecosystem. You will lead architectural design, drive cross-team initiatives, and mentor engineers across teams. Your work will establish the foundation for reliable, compliant, and discoverable data across the entire company.

Responsibilities:

• Define and drive the technical roadmap and architecture, aligning the direction with product, analytics, ML, and infrastructure needs.
• Lead the design and evolution of core data systems, including data lineage, metadata management, and data catalog systems.
• Partner with cross-functional leaders to establish data governance, access control, and compliance frameworks that ensure data integrity and regulatory alignment.
• Build and scale high-reliability systems that power both real-time and batch data workflows across Ads and analytics use cases.
• Influence engineering culture by defining best practices for data modeling, observability, and developer experience.
• Drive cross-org initiatives to improve data quality, discoverability, and system adoption.
• Mentor senior engineers and help develop technical leadership across the data and infrastructure organization.
• Act as a trusted technical advisor to product and engineering leadership on strategy and scaling challenges.

Qualifications:

• Bachelor’s degree or higher in Computer Science, Engineering, or a related technical field.
• 8+ years of experience in software engineering, with a strong focus on data infrastructure, platform systems, or distributed architectures.
• Proven experience designing and scaling large-scale data platforms or data-intensive systems.
• Strong proficiency in Golang, Python, or Java.
• Deep understanding of distributed systems, metadata management, and data modeling principles.
• Hands-on experience with cloud data platforms (e.g., GCP, AWS, Azure) and data orchestration frameworks (e.g., Airflow, Beam, Dataflow, Kafka).
• Demonstrated ability to define and lead complex technical initiatives that span multiple teams or domains.
• Excellent communication skills, with the ability to influence and align stakeholders across engineering, product, and compliance.

Preferred Qualifications:

• Experience leading the design and development of data governance systems at scale, such as data catalog, data lineage, and/or data asset management.
• Expertise in data governance, access control, and privacy compliance frameworks (e.g., GDPR, CCPA).
• Deep understanding of metadata-driven architectures, data quality frameworks, and observability systems.
• Proven ability to set long-term technical direction, guide multiple teams through architectural transitions, and drive platform adoption.
• Recognized for technical mentorship, thought leadership, and fostering a culture of excellence in data infrastructure engineering.

The Opportunity:

• Be the connective tissue across the organization to keep engineering, product, leadership, and stakeholders aligned on priorities, schedule, risks, and progress.
• Own and drive cross-team initiatives from conception to completion.
• Create and manage cross-team roadmaps, schedule, risks, and issues.
• Own security, privacy, compliance, and operational excellence initiatives.
• Establish scalable, repeatable, and efficient processes and schedules.
• Be a force multiplier by continually improving engineering, product, and operational efficiency across the organization.
• Help grow the TPM function.

Who We’re Looking For:

• You love working on technical initiatives to build and manage large cloud infrastructure.
• You don’t just work with engineering, you’re embedded into the team, shepherding their programs end-to-end.
• You have worked with big cloud players like GCP, AWS, OCI, Azure, etc.

How Do I Know if the Role is Right For Me?

• Experience working with senior leadership, including C-level leaders.
• Excellent oral and written communication skills
• Ability to effectively collaborate and drive consensus with all levels and teams across the company.
• Integral contributor to the development and operational readiness of large scale cloud products.
• Experience managing projects, risks, and dependencies with Product, Engineering, GTM, and cross-functional teams.
• Experience building scalable, sustainable processes and coordinating release schedules across multiple organizations.
• Experience in agile software development methodologies including deploying best practices and SDLC processes.
• 5+ years of technical program management or engineering management experience.
• 7+ years of experience working directly with software, cloud, or data engineering teams.
• Bachelor's degree in computer science, engineering or a related technical discipline.

Preferred Experience:

• Prior experience in ML Infra and Adtech
• Experience with Multi Cloud infrastructure 
• Passionate for learning about technologies and products

The Opportunity:

• Be the connective tissue across the organization to keep engineering, product, leadership, and stakeholders aligned on priorities, schedule, risks, and progress.
• Own and drive cross-team initiatives from conception to completion.
• Create and manage cross-team roadmaps, schedule, risks, and issues.
• Own security, privacy, compliance, and operational excellence initiatives.
• Establish scalable, repeatable, and efficient processes and schedules.
• Be a force multiplier by continually improving engineering, product, and operational efficiency across the organization.
• Help grow the TPM function.

Who We’re Looking For:

• You love working on technical initiatives to build and manage Ad Tech products for ECommerce 
• You don’t just work with engineering, you’re embedded into the team, shepherding their programs end-to-end.

How Do I Know if the Role is Right For Me?

• Experience working with senior leadership, including C-level leaders.
• Excellent oral and written communication skills
• Ability to effectively collaborate and drive consensus with all levels and teams across the company.
• Integral contributor to the development and operational readiness of large scale cloud products.
• Experience managing projects, risks, and dependencies with Product, Engineering, GTM, and cross-functional teams.
• Experience building scalable, sustainable processes and coordinating release schedules across multiple organizations.
• Experience in agile software development methodologies including deploying best practices and SDLC processes.
• 5+ years of technical program management or engineering management experience.
• 7+ years of experience working directly with software, cloud, or data engineering teams.
• Bachelor's degree in computer science, engineering or a related technical discipline.

Preferred Experience:

• Prior experience in ECommerce and Adtech
• Passionate for learning about technologies and products

The Impact You’ll Be Contributing to Moloco: 

As a Strategic Growth Senior Manager you will partner with MCM (Moloco Commerce Media) customers to help them build out a retail media business. You will lead customer relationships with large retailers and marketplaces, functioning as the product and go-to market expert, educating and advising on business setup and growth, retail media strategy, campaign management and optimization, and how to scale a retail media business.

The Opportunity: 

• Enable our retail and marketplace customers to be successful by growing their ads business; crafting GTM strategies with our MCM clients to help drive incremental ad revenue growth.
• Identify growth levers and product improvement opportunities.
• Build and manage strategic customer partnerships with deep understanding of customer verticals.
• Educate business users and advertisers on performance ads values and operations.
• Identify actionable growth initiatives and execute flawlessly to achieve goals.
• Enable decision-making with a data-driven strategy and valuable insights.
• Translate complex data analysis into simple language for clear communications.
• Capture customers’ needs and devise optimized and productive solutions.
• Lead multiple customer meetings and regular business reviews.

How Do I Know if the Role is Right For Me? 

• 4-6 years of relevant work experience, ideally gained at a strategy consulting firm and/or Ad-tech company
• Tech industry and performance advertising/Ad-tech experience, with hands-on exposure to campaigns and/or client accounts. Retail media experience and/or exposure preferred.
• Outstanding communication skills to build trustworthy relationships with customers,  including comfort presenting to senior stakeholders with support as needed.
• Great co-working skills with multiple stakeholders to accomplish business goals, including cross-functional partners (e.g., Product, DS, Engineering).
• Experience managing and executing strategic programs and workstreams; exposure to larger programs is a plus.
• Excellence in problem-solving, logical and out-of-box thinking to meet customer needs, knowing when to bring in senior partners on highly ambiguous topics.
• Rigor with data (exposure to ML-based products is a plus), including comfort using dashboards and analyses to inform recommendations.
• Experience or interest in understanding ML and AI products and communicating value and outcomes to stakeholders in simple, business-friendly language.
• Comfort working in a 0-1 environment with willingness to embrace ambiguity and iterate with guidance from leaders and peers.
• Ownership and passion for continuous growth and creating real value for your customers, team, and Moloco.
• Detail oriented, and yet willing to embrace ambiguity and balance details with the bigger picture.
• Ability to adapt to a fast-growing global company,  with appetite to grow into increasing scope and responsibility over time.

The ideal candidate is local to and interested in working from any of our offices (Silver Spring, NYC, SF, Miami, Denver) local to them 1-2x per week.

ABOUT ROCKET MONEY 🔮

Rocket Money’s mission is to meaningfully improve the financial prosperity of millions of people. Rocket Money offers members a unique understanding of their finances and a suite of valuable services that save them time and money – ultimately giving them a leg up on their financial journey.

ABOUT THE TEAM 🤝

Team Boost sits at the intersection of user-facing performance and developer productivity. We make Rocket Money fast and reliable for the millions of people who use it, and we make the codebase a joy to work in for the engineers who build it. We own the tooling, infrastructure, and best practices that help every engineer at Rocket Money ship faster and with more confidence.

If you're the kind of engineer who gets excited about shaving milliseconds off app startup time, seconds off a critical database query, and minutes off a colleague’s feedback loop, this is the team for you. The unique challenge of Team Boost is holding developer experience and user experience in alignment, and we hold a sincere belief that the best outcomes happen when we make it easy for engineers to build performant software by default.

IN THIS ROLE, YOU'LL:

• Make the right thing the easiest thing: Identify developer friction points like slow type-checking, confusing test infrastructure, or painful onboarding and eliminate them through documentation, tooling, and automation.
• Lead large-scale initiatives with precision and clarity: Write RFCs for projects related to our mission, build consensus across teams, and systematically execute architectural changes across the codebase.
• Hunt down performance bottlenecks across the full stack: profile, instrument, and resolve issues spanning client rendering performance, GraphQL latency, and database query performance.
• Raise quality and confidence through automation: Improve code quality across the engineering organization by authoring custom lint rules, maintain code generation pipelines that ensure type safety across packages, tune and maintain CI workflows to be both thorough and fast, and ensure that quality gates catch real issues rather than slow developers down.
• Keep the foundation solid: Upgrade and maintain critical dependencies across a large dependency graph by navigating breaking changes in tools and manage pnpm catalogs, patches, and overrides to keep ~20 packages building cleanly.

ABOUT YOU 🦄

• You have 5+ years of professional experience working with some combination of Node/TypeScript, React, React Native, GraphQL, and Postgres (or similar relational database).
• You have a passion for performance and observability: improving load times, digging into metrics and traces to diagnose issues, or speeding up CI pipelines all sound like fulfilling projects. Experience with GitHub Actions, E2E testing frameworks, or mobile-specific concerns like over-the-air updates and native build tooling is a plus.
• You're comfortable working across the full stack and diving deep into unfamiliar systems to understand how they work and how to make them better, whether that’s tracing a performance regression through GraphQL resolvers, ORM models, or caching layers. Bonus points for hands-on experience with large-scale TypeScript + GraphQL stacks and pnpm workspaces.
• You've led or participated in large-scale codebase migrations where “just rewrite it” wasn’t an option. You understand the technical and social challenges that come with new tooling and processes, and how to break massive changes into safe, incremental steps.
• You're both a student and a teacher, curious about new tools and technologies, eager to share what you learn through RFCs and technical strategy docs, and energized by the ambiguity that comes with a growing engineering organization.
• You think about developer feedback loops as a product: how long does it take from saving a file to seeing the result, from pushing a commit to getting CI feedback, and you thrive on measuring these processes and then working to systematically shrink them.

WE OFFER 💫

• Health, Dental & Vision Plans
• Life Insurance
• Long/Short Term Disability
• Competitive Pay
• 401k Matching
• Team Member Stock Purchasing Program (TMSPP)
• Learning & Development Opportunities
• Tuition Reimbursement
• Unlimited PTO
• Daily Lunch, Snacks & Coffee (in-office only)
• Commuter benefits (in-office only)

Additional Information: Salary range of $150,000 - $185,000/year + bonus + benefits. Base pay offered may vary depending on job-related knowledge, skills, and experience.

Rocket Money is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

About the role:

As a Product Support Specialist, you’ll be at the front lines of safely delivering AI to the world by responding to, investigating, and tracking user needs in your day to day. Additionally, you’ll help us identify – and close – gaps in our team’s technical knowledge, provide high-touch support to strategic customers, and demonstrate deep care for how we systematically support customers at scale. 

Responsibilities:

• Become an expert in all Anthropic products
• Respond to user support cases with a variety of complexity, from questions for individuals to complex API debugging for large businesses 
• Clearly and empathetically communicate with a wide range of user personas, context-switching between guiding executives in a high-touch model to assisting consumer users in a rapid pace
• Manage on-call tasks for high-urgency user issues with extreme ownership
• Prioritize critically and comfortably adapt to an ever-evolving product landscape
• Operate in ambiguity, making informed decisions even in never-before-seen situations
• Partner with engineers, teammates, and other internal stakeholders to diagnose and resolve user issues, both individually and at scale
• Suggest and drive improvements to increase user satisfaction through support processes as well as own initiatives that increase efficiency and drive down contact rates
• Uplevel our team’s technical knowledge by scoping gaps, working with cross-functional partners to deeply understand relevant nuances, and building resources that grow with our products

You may be a good fit if you:

• 3 - 5 years of relevant experience in technical product support in a high growth tech company, including API debugging, preferably in a second tier, escalated, or priority support team
• Are familiar with APIs and technical SaaS products and can deeply understand technical docs with ease
• Have demonstrated an ability to thrive in fast-paced, reactive situations while meeting core support metrics targets (e.g. CSAT, SLA, etc.)
• Possess strong user empathy and are expert in the lifecycle of a support case; you can read between the lines of a user’s question, put yourself in their shoes, and get at the heart of their needs for a speedy, satisfying resolution
• Have crisp but kind written communication skills and a deep care for the details
• Enjoy helping others learn about new features and complex concepts
• Experience troubleshooting SSO, SAML, and OAuth authentication flows
• Are persistent and curious; you delight in the hunt of tracking down a bug or issue, and are energized by fixing this for all similar users going forward
• Have experience contributing to the foundations of a support team – this is essential, highly valuable, but often unglamorous work
• Are proficient at working in a technical environment and are interested in Anthropic’s products
• Possess a deep sense of ownership, and are excited to help us build our team!

Strong candidates may also have:

While not required, we're particularly excited about candidates with one or more of these specializations:

• Comfort with command line interfaces and basic scripting (Bash, Python, JavaScript)
• Understanding of LLM capabilities, practical applications, and current limitations
• Familiarity with enterprise networking concepts and IT infrastructure
• Familiarity with Git workflows and version control concepts
• SQL proficiency for querying logs and investigating issues
• Experience supporting government or public sector customers, including familiarity with compliance requirements and security frameworks
• Background in team lead roles or managing contract/vendor support teams

We're hiring across a range of experience levels to build depth in both technical capabilities and enterprise support.

The Technology, Data, and Intelligence Team 

Okta is the leading independent identity provider. The Technology, Data, and Intelligence (TDI) organization is the engine that powers Okta's global workforce, providing the technology and systems that enable our employees to do their best work.

The Staff Data Scientist Opportunity

We are looking for a Staff Product Data Scientist to join our Data & Insights team. This role will lead the strategy, development, and operationalization of advanced analytics and machine learning solutions that power data intelligence for Okta’s Product Management teams, uncovering actionable insights on customer behavior, product engagement, and opportunities that will drive our product growth strategy. You’ll define the long-term data science roadmap while partnering closely with Okta’s diverse Product Management teams and executive leadership.

What you’ll be doing 

• Strategic Product Influence: Collaborate closely with Product Managers and leadership to provide insights that will help drive product strategy and roadmaps, ensuring decisions are grounded in a data-driven approach.
• Advanced Analytics and Modeling: Build and deploy statistical and machine learning models (e.g., predicting churn, lifetime value, feature adoption) to forecast user behavior and product growth opportunities in order to help influence roadmap decisions.
• Deep-Dive Insight Generation: Conduct thorough exploratory analysis on extensive, complex datasets to uncover key drivers of user adoption and engagement, identifying unseen opportunities for significant product improvement.
• Data Ecosystem Partnership: Work with data engineering, analytics engineering, and data analysts to shape and enhance the foundational data infrastructure necessary for scalable ML and advanced analytics initiatives.
• Data Preparation and Curation: Develop and construct usable data sets by integrating and manipulating information from various disparate data sources as needed.
• Executive Communication and Influence: Translate intricate data insights into clear, compelling narratives for executives, product managers, and engineers, effectively influencing crucial business and product decisions.

What you’ll bring to the role

• 7+ years of experience in data science or ML, including 3–5 years in a senior, staff, or technical leadership role.
• Deep understanding of product analytics and data science frameworks, with a proven history of designing and analyzing product data to solve complex, ambiguous business problems and deliver measurable results.
• Demonstrated ability to apply cutting-edge AI tools to accelerate the discovery of deep, actionable insights from complex product data.
• Demonstrated ability to translate data insights into product impact and formulate strategic, data-driven recommendations.
• Deep expertise in machine learning algorithms (supervised, unsupervised, NLP, forecasting, optimization) and statistical modeling.
• Strong proficiency in Python, SQL, and leading ML libraries.
• Excellent communication skills and a proven ability to influence Product and executive partners.

And extra credit if you have experience in any of the following! 

• Experience in high-growth SaaS, cybersecurity, identity, or enterprise software environments.
• Prior ownership of ML platform/tooling decisions and evaluations.
• Experience enabling self-service analytics or citizen data science capabilities.

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The Technology, Data, and Intelligence Team
Okta is the leading independent identity provider. The Technology, Data, and Intelligence (TDI) organization is the engine that powers Okta's global workforce, providing the technology and systems that enable our employees to do their best work.

The Staff Product Analyst Opportunity
Okta is looking for a Staff Product Analyst, Workday Total Rewards & HCM to join our People Technology Team. Working closely with People Technology leaders, you will play a critical role in the ongoing global optimization of Okta's Workday platform, with a primary focus on Benefits and Advanced Compensation configuration and enhancements, while also supporting Core HCM processes as part of a broader Total Rewards scope. You will work across departments and geographies, partnering with teams across People, Payroll, IT, Finance, and international offices. This is a great fit for someone who enjoys solving complex problems, working cross-functionally, and making a tangible impact on how our global workforce operates.

What You'll Do

• Own the end-to-end Workday configuration lifecycle across Benefits, Advanced Compensation and Core HCM, from requirements gathering and solution design through testing, deployment, and adoption
• Lead and support annual events including Open Enrollment and Annual Compensation Reviews, ensuring accuracy, compliance, and a seamless employee experience
• Build and maintain custom reports, dashboards, and hubs that deliver actionable insights to business stakeholders
• Manage Workday upgrades and evaluate new functionality to identify opportunities for process improvement and automation
• Identify gaps in system utilization and champion the adoption of standard Workday features to reduce manual work and improve efficiency
• Support knowledge sharing and capability building across the People Technology team through hands-on training and documentation

What You'll Bring

• 7+ years of Workday experience with deep hands-on expertise in Benefits and Advanced Compensation configuration (4+ years in Advanced Compensation), with working knowledge of Core HCM
• Strong understanding of Total Rewards business processes and how configuration decisions impact the end-user experience and platform adoption
• Ability to translate business requirements into scalable solutions and evaluate tradeoffs across multiple configuration approaches
• Experience managing a backlog of enhancements and prioritizing across competing business needs and technical constraints
• Strong communication skills with the ability to engage senior stakeholders and translate technical concepts into clear business language
• Proven ability to collaborate effectively across People, Payroll, Finance, and IT in a fast-paced, global environment
• Design, build, test, and deploy Workday integrations using EIBs, Core Connectors, and Report as as Service (RaaS)

Nice to Have

• Workday Certifications in Benefits, Advance Comp, Core HCM
• Experience with additional Workday modules such as Time Tracking, Absence, Payroll, or Talent Management

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About Okta

Okta is The World's Identity Company. Our platforms provide secure access, authentication, and automation, placing identity at the core of business security and growth. We're looking for lifelong learners and people who can make us better with their unique experiences. Join our team! We're building a world where Identity belongs to you.

Okta offers identity and access management solutions to all industries, but our focus on the world’s largest organizations requires a more dedicated role focused on Public Sector.

Position Description

Okta is looking for a Staff Product Marketing Manager to own and drive our go-to-market strategy for the Public Sector. This is a senior-level individual contributor role, reporting to the Director of Product Marketing. In this position, you will be the expert on our Public Sector audience, focused on federal, with input into state, and local governments, as well as educational institutions.

The ideal candidate is a strategic thinker, a compelling storyteller, and a strong cross-functional leader. You will be responsible for defining our messaging and positioning, creating compelling content, and enabling our sales team to succeed in the Public Sector market.

Job Duties and Responsibilities

• Go-to-Market Strategy: Own and drive the go-to-market strategy for Okta's solutions in the Public Sector.
• Messaging and Positioning: Develop clear, compelling, and differentiated messaging and positioning for the Public Sector audience.
• Content Creation: Create a variety of content, including presentations, datasheets, whitepapers, blog posts, and website copy, to support demand generation and sales enablement.
• Sales Enablement: Develop and deliver training and tools to enable our sales team to effectively sell to the Public Sector.
• Market Intelligence: Be the expert on the Public Sector market, including customer needs, market trends, and competitive landscape.
• Cross-Functional Leadership: Partner closely with Product Management, Sales, and the broader Marketing team to ensure alignment and success.
• Evangelism: Act as a spokesperson for Okta in the Public Sector, including at industry events and with press and analysts.

Required Skills & Qualifications

• 8+ years of product marketing experience, preferably in enterprise software, SaaS, or cybersecurity.
• Deep understanding of the Public Sector market, including procurement processes, compliance requirements (e.g., FedRAMP, DoD), and key government initiatives.
• Proven track record of developing and executing successful go-to-market strategies.
• Exceptional storytelling and communication skills, with the ability to translate complex technical concepts into clear and compelling narratives.
• Strong leadership and interpersonal skills, with the ability to influence and work effectively across teams.
• Excellent writing and presentation skills.
• Experience in a similar PMM role, with a proven ability to lead large, cross-functional projects.
• Bachelor's degree in marketing, business, or a related field; MBA is a plus.

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Staff Product Marketing Manager, Security

Reporting to the Senior Manager, Product Marketing, this role is a critical lead in Okta’s security journey. We are looking for a Staff Product Marketing Manager who will help tell Okta’s security story in a compelling, cohesive, and relevant way. Your goal is to elevate Okta’s foundational access technologies from a utility to a strategic security imperative, evangelizing the need for identity-centric security in an AI-driven threat landscape.

The ideal candidate will be a unique blend of technologist and business strategist—someone who can dive deep into technical architecture while crafting portfolio-level value propositions that resonate with both CISOs and practitioners. Beyond strategy and content, you must be a self-motivated, execution-oriented individual who stays focused on delivering outcomes in a fast-paced environment.

What you’ll be doing

• Identity Security GTM Strategy: Build and execute the go-to-market strategy for Okta’s foundational access and authentication platform. You will define how core authentication, adaptive policy, and recovery flows serve as the first line of defense against modern identity-based attacks.
• Technical Evangelism & Demos: Move beyond high-level messaging to create "show-not-tell" technical content. You will be responsible for building and delivering product demonstrations, technical reference architectures, and briefs that prove Okta’s security value to technical buyers.
• Security Storytelling: Own the messaging, positioning, and competitive differentiation for our core access technologies. You must take "under-the-hood" technology and turn it into a simple, urgent, and business-focused story that highlights resilience and risk mitigation.
• AI-Driven Identity Leadership: Define the strategy for securing the new wave of AI. This includes establishing Okta's point of view on managing AI agents as identities and ensuring the access layer is hardened for an automated, high-velocity threat landscape.
• Cross-Functional Activation: Partner with Product Management, Engineering, and Sales to build technical buyer-focused assets—including technical comparisons, FAQs, and field enablement materials—specifically designed for the Global 2000.
• Analyst & Industry Presence: Represent Okta at security events to raise our profile and establish a unique POV. Engage with analysts to ensure Okta’s foundational security capabilities are recognized as the core of a modern security posture.

What you’ll bring to the role

• Domain Expertise: 8+ years of experience as a product marketer or product manager in cybersecurity or identity management (IAM, AD, or Entra ID). You know who the players are, where the gaps lie, and how to win.
• Hands-on Technical Proficiency: A technologist at heart. You must have a track record of supporting technical evaluations, and you must be comfortable configuring and demoing the product to technical buyers.
• Execution-Oriented Storytelling: Proven ability to take "under-the-hood" technology and turn it into an emotional and urgent business story. You know how to rise above the noise and create a sense of urgency.
• Strategic Integration: An understanding of how foundational identity signals (like MFA and policy) feed into broader security outcomes like threat detection and incident response.
• Stakeholder Management: Experience managing senior stakeholders with differing priorities and a high sense of urgency to drive end-to-end GTM initiatives.

Extra Credit if you have:

• CS Degree or a strong technical background in systems architecture or engineering.
• Deep experience with modern identity protocols and securing hybrid environments (Cloud and On-Premises).
• Experience in the AI space, specifically regarding the security implications of LLMs and agentic workflows.

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