Who are we hiring?

The Vice President of Revenue Strategy will lead the Revenue Strategy function for Sphere, overseeing the development and execution of strategies across all key revenue streams, with a primary focus on maximizing the performance of Sphere Original Experiences.

This role is responsible for building and leading a high-impact team that drives revenue optimization through dynamic pricing, advanced forecasting, inventory management, and scheduling across a diverse and evolving content slate. The VP will architect and scale a sophisticated ecosystem of tools, models, and insights that enable automation, precision, and agility in decision-making that will optimize revenue.

As a senior leader, this individual will operate at the intersection of strategy, analytics, and commercial execution, translating complex, ambiguous business challenges into structured, scalable solutions that drive market share, utilization, and long-term revenue growth.

What will you do?

• Define and execute the overarching revenue strategy across Sphere’s business, with a focus on maximizing the performance of Sphere Original Experiences.
• Own pricing, yield, and inventory strategies to drive revenue, attendance, and long-term value.
• Continuously evolve strategy to respond to market dynamics, audience behavior, and emerging opportunities.
• Lead the development of advanced dynamic pricing models and demand-based strategies.
• Oversee short- and long-term forecasting frameworks to support strategic planning and real-time decision-making.
• Establish best-in-class predictive modeling across demand, elasticity, and performance scenarios.
• Own ticketing revenue projections, budget development, and performance tracking working closely with finance partners.
• Direct scheduling strategy across a multi-content slate to maximize utilization and audience reach.
• Oversee show calendars, showtimes, and release strategies aligned to demand patterns and growth objectives.
• Partner cross-functionally to ensure alignment between scheduling, marketing, and commercial strategies.
• Lead the development of a scalable ecosystem of tools, platforms, and technologies that enable automated pricing, forecasting, and inventory management.
• Manage and optimize existing vendor partnerships while identifying and implementing new solutions to drive efficiency, scalability, and performance.
• Drive innovation in systems and workflows to support a rapidly growing and evolving business.
• Partner with Marketing, Finance, Data & Analytics, Sales, and Product to align on revenue-driving initiatives.
• Establish rigorous operating rhythms, including business reviews and performance analysis, to continuously improve outcomes.
• Serve as a key strategic advisor to senior leadership on revenue and growth opportunities.
• Build, lead, and scale a high-performing team across revenue strategy, data analytics, data science and ticketing.
• Foster a culture of accountability, innovation, and analytical rigor.
• Communicate complex insights clearly to executive stakeholders and influence decision-making at the highest levels.
• Champion a data-driven, test-and-learn approach to continuously evolve capabilities.

What do you need to succeed? 

• 12+ years of experience in revenue strategy, pricing, analytics, or related fields, with significant executive leadership experience overseeing high-impact, revenue-driving functions.
• Proven track record of building and scaling dynamic pricing, forecasting, and revenue management systems in complex, high-growth, multi-product environments.
• Deep expertise in predictive modeling, advanced analytics, and data-driven decision-making, with the ability to translate insights into commercial impact.
• Strong understanding of end-to-end revenue levers, including pricing, inventory, scheduling, and marketing, and how they interact to drive demand, utilization, and yield.
• Experience leading content or inventory-based businesses where scheduling and capacity optimization are critical (e.g., live entertainment, ticketing, hospitality, or airlines.)
• Demonstrated success managing first party and third-party data ecosystems, as well as vendor platforms and partnerships that enable scale and automation.
• Executive presence with experience owning significant revenue targets and influencing cross-functional stakeholders at all levels of the organization.
• Proven ability to lead and scale high-performing teams, fostering a culture of accountability, innovation, and analytical rigor.
• Exceptional communication and strategic thinking skills, with the ability to simplify complex concepts and drive alignment across technical and non-technical audiences.
• Highly effective at navigating ambiguity, solving complex business challenges, and operating in a fast-paced, evolving environment.

Special Requirements 

• 25% travel 

#LI-Onsite

About the Role:

We are building AI-powered, agentic workflows to transform how service operations scale, resolve customer needs, and maintain quality in high-stakes environments. At Gusto, that means designing systems that can earn the trust of small business owners — where a wrong answer or a missed escalation has real consequences.

As an AI Solutions Architect, you will own the end-to-end design and performance of these workflows in production — where models, tools, data, and human judgment come together to deliver outcomes. This is not a traditional architecture role. You will design, prototype, deploy, and continuously improve AI-driven systems that directly impact customer experience and operational efficiency. You will also play a key role in shaping the evolution of our AI platform by identifying capability gaps, prototyping solutions, and informing the primitives required to scale agentic systems effectively.

You will report into the Service Transformation org and work at the intersection of AI governance, service quality, and operational transformation — operating as the connective tissue between Engineering, CX, Legal, and Compliance as Gus, Gusto's AI assistant, scales.

About the Team:

The mission of our Service Transformation (CXT) team is to quickly evolve and scale how Gusto delivers outstanding service experiences and leverages AI to do so. Our team designs the systems, governance frameworks, and feedback loops that allow Gusto's service model to improve continuously, operate reliably, and earn the trust of the customers and employees who depend on it.

Here’s what you’ll do day-to-day:

• Architect, prototype, and own end-to-end agentic service workflow frameworks, from scoping through production deployment and iteration — including solve and assist targets, HITL protocols, override logic, and downstream quality safeguards
• Analyze SOPs, operational metrics and interaction data to identify and prioritize high-impact automation opportunities based on volume, risk, and customer impact
• Design and implement multi-agent orchestration patterns across tools, data sources, and decision steps within a single end-to-end workflow
• Apply and influence AI platform capabilities in partnership with CoreX (Gusto's AI Platform team) — including orchestration, retrieval, and evaluation — helping define what needs to be built to support production workflows at scale
• Identify platform gaps, prototype workflow-level solutions, and partner with engineering to shape the primitives required for reliable, scalable AI systems
• Serve as the primary CX voice in Legal, Security, Compliance, and CoreX forums — translating CX quality stakes and workflow risk into terms each audience acts on, and ensuring governance requirements are embedded in design, not retrofitted after launch
• Strengthen evaluation frameworks and feedback loops to ensure quality, compliance, and continuous improvement; contribute to Gusto's human evaluation programs and AI governance practices through deep partnership with our internal CX Labs team
• Partner with Data teams to define and track workflow performance — including solve and assist rate, AHT, rework rate, and customer effort score — clearly distinguishing between model-level, workflow-level, and operational drivers
• Build ROI models to quantify workflow impact across efficiency, quality, and cost before and after deployment
• Represent workflow performance and risk to senior stakeholders with appropriate precision and brevity; communicate in a way that drives action, not overwhelm
• Lead through ambiguity and rapid change: the function is still being defined, and you will help define it

Here’s what we're looking for:

• 8+ years in operations, product, or AI roles — with at least 2 years designing and deploying AI-assisted or agentic workflows
• Strong fluency with LLM systems, including prompt design, evaluation, and production behavior at scale
• Hands-on experience with agentic tooling, orchestration frameworks, or MCP-style integrations — conceptual familiarity is not sufficient at this level
• Experience designing human-in-the-loop (HITL) systems with clear escalation logic, override controls, and compliance-aware checkpoints
• Working knowledge of multi-agent systems and tool coordination
• Strong operational judgment: able to define and diagnose workflow metrics 
• Proven track record influencing cross-functional stakeholders — including Product, Engineering, Legal, Security, and Compliance — in writing, in design reviews, and in high-stakes forums
• Familiarity with Responsible AI practices, governance, and risk management in production environments
• Proven ability to operate in high ambiguity, create clarity, and drive alignment across technical and non-technical audiences
• Strong systems thinking with a bias toward execution and measurable outcomes
• Deep empathy for small business customers and the employees who serve them

Our cash compensation amount for this role is $133,470/yr to $173,511/yr in Denver & most major metro locations, and $157,145/yr to $204,289/yr for San Francisco & New York. Final offer amounts are determined by multiple factors including candidate location, experience and expertise and may vary from the amounts listed above.

Why this role is exciting

As a Product Marketing Manager at Vay, you aren’t just launching a product; you are pioneering a fundamental shift in mobility through teledriving technology. You will operate at a high-velocity pace, translating complex remote-driving systems into a seamless consumer experience as the company scales its fleet across global markets.

This role offers a unique growth trajectory, placing you at the intersection of deep-tech innovation and urban infrastructure. You will be responsible for defining the go-to-market strategy for a service that is actively redefining vehicle ownership and on-demand transportation on a massive scale.

What you’ll be driving

At Vay, the role of a Product Marketing Manager is about more than just managing a launch; it is about steering a fundamental shift in how the world moves. You will be at the helm of three critical pillars:

1. Architecting the Growth Engine - You are driving the entire lifecycle of the user journey, moving far beyond simple awareness to own the product funnel optimization. By diving deep into conversion data and user behavior, you will identify friction points in the "magic" moment—when a teledriven car arrives at a user's door—and engineer seamless onboarding experiences. Your goal is to turn initial curiosity into high-retention habits, ensuring that as the fleet scales across global markets, the unit economics and user growth scale right along with it.

2. Strategic Product Co-Creation - You serve as the vital bridge between the market's pulse and the product and engineering roadmap, moving past traditional marketing to collaboratively build the future of mobility. By translating complex technical breakthroughs into high-impact consumer features, you work hand-in-hand with Product teams to ensure the roadmap solves real-world urban pain points. You aren't just selling what has been built; you are an active architect of the product itself, ensuring every new iteration is grounded in user needs and massive market potential.

3. Category Education and Trust - Since teledriving is a brand-new frontier, you are driving the narrative of a new mobility category. This involves a sophisticated educational strategy that demystifies remote-driving technology and builds deep, unwavering consumer trust in the "human-in-the-loop" safety model. You will be responsible for educating both new and existing users on the full breadth of the Vay ecosystem—turning early adopters into lifelong advocates who understand not just how the technology works, but why it is the most efficient way to navigate a modern city.

What are we looking for

• Proven experience in Product Marketing within a scaling, high-complexity tech environment (mobility, marketplaces, or high-growth SaaS preferred).

• Strategic GTM Lead with a track record of owning end-to-end product launches—from initial positioning and messaging to full-scale market adoption.

• Analytical Rigor: You are obsessed with the funnel. You can dissect conversion data to identify friction points and implement optimization strategies that drive growth.

• A "Voice of the User" Advocate: You have a deep-seated ability to translate messy customer signals and qualitative research into actionable product insights and compelling value propositions.

• Cross-Functional Bridge: You speak the languages of Product, Design, and Engineering fluently, ensuring that user experience and business goals remain aligned during the development cycle.

• Technical & Creative Fluency: You are comfortable diving into product analytics tools (like Amplitude or Mixpanel) but can also collaborate with designers to create high-impact visual storytelling.

• Agile Mindset: You thrive in startup environments where you must balance "big picture" strategy with the hands-on execution required to hit aggressive KPIs.

• Exceptional Communicator: You can take a complex technical feature and turn it into a simple, "must-have" benefit for the end user.

Why choose Vay

💪A global team of smart, motivated people from 30+ countries who love tackling hard problems and turning bold ideas into reality.

🌍 Huge scope for impact in a fast paced environment

💰 ESOP stock options: A stake in Vay’s future - not just a salary.

🌴 Unlimited Paid Vacation Days

🎫 401(k) programme

🏥 Health, Dental & Vision Insurance 

🚗 All Vay team members receive 30% off their Vay rides

🏋️‍♂️ Wellness Hub free gym access & wellness app subscriptions

🛍️ Exclusive external discounts

✈️ Relocation financial assistance when relocating to Las Vegas 

🎊 Regular team events throughout the year

About the Role:

Gusto is searching for a builder. Not a manager of an existing PEO sales team — a founder-minded sales leader who will design the motion, write the playbook, hire the team, and carry a personal book of business in the early months. This is a 0→1 opportunity to establish Gusto's PEO sales org from the ground up, and we're looking for someone who is energized by that challenge.

You will drive new PEO revenue by selling Gusto's co-employment solution to both prospects and our existing base of 400,000+ customers — Gusto's single biggest competitive advantage over legacy PEOs. The pace is fast, the market opportunity is real, and we're looking for someone who will bring experience, creativity, and a genuine passion for building to the table every single day. You align with our company values and have a knack for building for the long haul. If you're excited to roll up your sleeves, lead by example, and architect something from scratch, let's talk.

About the Team:

You will be the founding leader of Gusto's PEO sales function. In the first 6–12 months, you'll operate as a true player-coach — personally closing deals while simultaneously building the team, tooling, and infrastructure around you. You'll define the ideal customer profile, build out the sales stages and pipeline architecture in Salesforce, and establish the channel strategy (including broker and accountant referral partnerships) that will drive scalable new business over time.

This team will serve as Subject Matter Experts on PEO, guiding prospects through complex buying decisions and partnering closely with HR, benefits, and payroll counterparts to deliver a seamless customer experience. Your biggest unfair advantage: Gusto's existing install base. Like the best scaled PEOs, a meaningful share of your pipeline will come from converting existing payroll customers — and you'll be the one to design and build that on-ramp.

Here’s what you’ll do day-to-day:

• Sell and build simultaneously. For the first 6–12 months, carry a personal book of business while building the team and infrastructure around you. This is a player-coach role that requires someone comfortable operating at both levels.
• Design the sales motion from scratch. Define sales stages, lead routing, funnel metrics, and pipeline architecture in Salesforce. This org doesn't have a pre-built RevOps foundation — you'll build it.
• Own the full talent lifecycle. Partner closely with Recruiting to define hiring profiles, run interviews, and select top PEO sales talent. Onboard new hires for fast ramp and continuously assess team capacity to stay ahead of headcount needs.
• Build and leverage the channel ecosystem. Develop a point of view on broker, GA, and accountant referral channels. Even if you don't own these relationships day one, you'll be expected to shape the strategy and lay the groundwork for a scalable partner channel.
• Convert the install base. Develop the playbook for converting Gusto's existing 500K+ payroll customers to PEO. Understand the unique motion, objections, and value proposition for in-base selling vs. cold-start prospecting.
• Operate with selling season fluency. Understand and plan around PEO's concentrated selling window (Sept–Dec, with ~50–60% of new business landing Jan 1). Build team capacity, pipeline targets, and go-to-market rhythms accordingly.
• Collaborate cross-functionally with Sales, Marketing, and Product leadership to identify market opportunities, drive pipeline, and help shape PEO product strategy.
• Use data to drive decisions — from advisor skill development to team-level initiatives. Track, measure, and report on sales effectiveness; adjust programs as needed.
• Lead with AI fluency. As a people leader at Gusto, you're expected to actively model and drive AI adoption across your team — not just as a user, but as a champion. This means leveraging AI tools to surface pipeline insights, accelerate coaching, improve forecast accuracy, and identify at-risk deals earlier. You'll help your team integrate AI into daily workflows (outreach, call prep, follow-up), experiment with new tooling, and share learnings across the broader sales org. We expect our leaders to stay ahead of the curve and bring a point of view on how AI can make the team meaningfully better.
• Build a culture of excellence. Cultivate each individual's skill set and guide career pathing as they grow within the organization. Ensure the team maintains deep knowledge of PEO compliance, co-employment regulations, and applicable state and federal employment law requirements.

Here’s what we're looking for:

• PEO Expertise: 5+ years of experience in PEO sales, with direct experience standing up a PEO sales org or building a sales team 0→1 in a high-growth environment. We're prioritizing builder profiles over tenure in a mature org.
• Player-Coach Experience: Proven ability to carry personal quota while simultaneously building team, process, and infrastructure. This is not a pure management role in the early stages.
• Selling Season Fluency: Direct experience operating within PEO's Jan 1 selling cycle — Sept–Dec pipeline build, renewal dynamics, and capacity planning. This is a key screen for PEO-specific operating experience vs. generic HCM.
• Install Base Conversion: Experience developing or executing strategies to convert an existing customer base to a higher-tier or adjacent product. Familiarity with in-base PEO conversion motions is a strong plus.
• Channel Strategy: Understanding of broker, GA, and accountant referral channels in the PEO or benefits space. Ability to develop a POV and lay groundwork for scalable partner-sourced pipeline.
• RevOps & Pipeline Architecture: Experience building or significantly contributing to Salesforce pipeline design — sales stages, lead routing, funnel reporting — from an early-stage starting point.
• Management Experience: 5+ years of people management in a sales organization, including direct involvement in recruiting and hiring.
• Results-Oriented: Consistent track record of establishing and exceeding measurable goals.
• Sales Acumen: Strong working knowledge of inbound and outbound sales methodologies in SMB SaaS or HCM/PEO environments.
• Collaboration: Ability to work effectively across Sales, HR, Benefits, and Product teams; excellent interpersonal skills.
• AI Leadership: Demonstrated ability to evaluate, adopt, and champion AI and automation tools in a sales environment. Comfortable going beyond personal usage — setting expectations, building habits, and holding the team accountable to AI-enabled ways of working.
• Technical Proficiency: Salesforce.com (SFDC) experience required, including pipeline and funnel design; familiarity with HCM platforms and benefits administration tools preferred.

Our target on-target earnings (OTE) compensation for this role is $270,000/yr to $280,000/yr in Denver & most remote locations, and $295,000/yr to $318,000/yr for San Francisco, & New York. This OTE is structured with a target 60% base pay and 40% commission pay with an uncapped commission structure. Final offer amounts and the exact base/commission split are determined by multiple factors including candidate location, experience, and expertise and may vary from the amounts listed above.

Required:

• 3+ in Windows desktop application development using Windows App SDK, WinUI (or similar), C#, XAML — and ideally additional experience with native Windows code (C++, Win32/WinRT/COM).
• Deep understanding of Windows application architecture, including interop between managed code (.NET) and native code.
• Proven track record of designing, building, and shipping production-quality desktop applications, with an emphasis on reliability, performance, scalability, and maintainability.
• Strong experience with accessibility APIs on Windows (e.g. Microsoft UI Automation or similar), and a dedication to building accessible and inclusive software.
• Excellent software engineering fundamentals: OOP, design patterns, data structures, algorithms, memory management, multi-threading or asynchronous programming (where relevant).
• Experience leading technical design, mentoring other engineers, conducting code reviews, and making architecture-level decisions.
• Strong communication skills; ability to articulate tradeoffs, collaborate with cross-functional teams, and drive consensus.
• A user-centric mindset: focus on building polished, intuitive, and accessible experiences for end users.

Preferred / Bonus:

• Experience with writing automated tests for UI — unit tests, integration tests, UI automation tests; familiarity with relevant testing frameworks.
• Experience with performance optimization for desktop apps (memory usage, startup time, rendering performance, high-DPI support, responsiveness under load).
• Experience with localization/globalization, right-to-left UI support, internationalization, accessibility for multiple regions.
• Familiarity with telemetry, analytics, crash reporting, logging, and error monitoring in desktop applications.
• Previous experience in shaping CI/CD workflows, release pipelines, and deployment strategies for desktop applications.
• Demonstrated ability to take ownership of feature areas or modules and drive them long-term, including maintenance, refactoring, and technical debt management.

What we offer

• A high-impact role: you will define architecture, shape the future of our Windows product, and directly influence what millions of users see and experience.
• A collaborative, flat-structure engineering culture — you are not just a coder, but a builder and a decision-maker.
• Opportunities to lead — mentor others, steer technical direction, and grow into broader technical leadership (e.g. Tech Lead, Architect).
• Flexibility, autonomy, and responsibility: you define how to solve problems, own features end-to-end, and contribute to long-term product vision.
• A purpose-driven mission: building software that’s reliable, accessible, and user-centered — making a real difference for people.

The United States Based Salary range for this role is: 140,000-200,000 USD/Year + Bonus + Stock depending on experience             

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 
Refer them! 

Speechify is committed to a diverse and inclusive workplace. 
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Mission Summary:

Motional is seeking a Staff Front End Engineer expert for its Web Visualization Tooling team.  This role will directly contribute through the creation of critical web tooling and visualization that allows us to improve our feedback loops for machine learning (ML) engineers and improve the performance and adaptability of our autonomous vehicle (AV) system.

What you'll be doing:

• Drive cross-team standards and best practices for web development
• Own cross team collaboration, ensuring deliveries are made on time and effectively
• Architect and scale a modern frontend ecosystem using React, TypeScript, and Vue.
• Collaborate closely with ML, frontend, UX, data services, data mining, and data annotation teams to align tooling with real-world workflows
• Build mission-critical UI systems used by a variety of internal customers.
• Design initiative experiences for complex, data-heavy workflows.
• Drive best practices around performance, scalability and maintainability
• Ship quickly and iterate in a product driven environment.
  
  

What we're looking for:

• Desire to design and build user-facing visual applications, and a passion for good UX.
• Strong proficiency in React, Typescript and modern frontend architecture
• Proficiency in Vue
• Strong product sense with a focus on UX and usability.
• Ability to work with high ownership and autonomy.
• Ability to work autonomously and independently, and to drive development initiatives with little oversight. High aptitude for learning and organization skills.
• Great interpersonal skills and ability to mentor and (on occasion) delegate to other engineers at various levels of relative seniority.
• A well-established technical design and documentation habit
• Capability to work directly with customers to identify foundational needs and provide solutions.
  
  

Bonus Points(not required): 

• Demonstrated project management expertise / advanced hands-on understanding of project management agility and operational excellence.
• A love for the continuous delivery of value.
• Exposure to backend systems (Node, Python)
• Experience in Game Development or 3D Visualization

We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote.

Mission Summary:

Motional is seeking a Staff Front End Engineer expert for its Web Visualization Tooling team.  This role will directly contribute through the creation of critical web tooling and visualization that allows us to improve our feedback loops for machine learning (ML) engineers and improve the performance and adaptability of our autonomous vehicle (AV) system.

What you'll be doing:

• Drive cross-team standards and best practices for web development
• Own cross team collaboration, ensuring deliveries are made on time and effectively
• Architect and scale a modern frontend ecosystem using React, TypeScript, and Vue.
• Collaborate closely with ML, frontend, UX, data services, data mining, and data annotation teams to align tooling with real-world workflows
• Build mission-critical UI systems used by a variety of internal customers.
• Design initiative experiences for complex, data-heavy workflows.
• Drive best practices around performance, scalability and maintainability
• Ship quickly and iterate in a product driven environment.
  
  

What we're looking for:

• Desire to design and build user-facing visual applications, and a passion for good UX.
• Strong proficiency in React, Typescript and modern frontend architecture
• Proficiency in Vue
• Strong product sense with a focus on UX and usability.
• Ability to work with high ownership and autonomy.
• Ability to work autonomously and independently, and to drive development initiatives with little oversight. High aptitude for learning and organization skills.
• Great interpersonal skills and ability to mentor and (on occasion) delegate to other engineers at various levels of relative seniority.
• A well-established technical design and documentation habit
• Capability to work directly with customers to identify foundational needs and provide solutions.
  
  

Bonus Points(not required): 

• Demonstrated project management expertise / advanced hands-on understanding of project management agility and operational excellence.
• A love for the continuous delivery of value.
• Exposure to backend systems (Node, Python)
• Experience in Game Development or 3D Visualization

We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote.

Mission Summary:

Motional is seeking a Staff Front End Engineer expert for its Web Visualization Tooling team.  This role will directly contribute through the creation of critical web tooling and visualization that allows us to improve our feedback loops for machine learning (ML) engineers and improve the performance and adaptability of our autonomous vehicle (AV) system.

What you'll be doing:

• Drive cross-team standards and best practices for web development
• Own cross team collaboration, ensuring deliveries are made on time and effectively
• Architect and scale a modern frontend ecosystem using React, TypeScript, and Vue.
• Collaborate closely with ML, frontend, UX, data services, data mining, and data annotation teams to align tooling with real-world workflows
• Build mission-critical UI systems used by a variety of internal customers.
• Design initiative experiences for complex, data-heavy workflows.
• Drive best practices around performance, scalability and maintainability
• Ship quickly and iterate in a product driven environment.
  
  

What we're looking for:

• Desire to design and build user-facing visual applications, and a passion for good UX.
• Strong proficiency in React, Typescript and modern frontend architecture
• Proficiency in Vue
• Strong product sense with a focus on UX and usability.
• Ability to work with high ownership and autonomy.
• Ability to work autonomously and independently, and to drive development initiatives with little oversight. High aptitude for learning and organization skills.
• Great interpersonal skills and ability to mentor and (on occasion) delegate to other engineers at various levels of relative seniority.
• A well-established technical design and documentation habit
• Capability to work directly with customers to identify foundational needs and provide solutions.
  
  

Bonus Points(not required): 

• Demonstrated project management expertise / advanced hands-on understanding of project management agility and operational excellence.
• A love for the continuous delivery of value.
• Exposure to backend systems (Node, Python)
• Experience in Game Development or 3D Visualization

We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote.

Mission Summary:

At Motional, we're transforming how autonomous vehicles discover critical intelligence hidden within petabytes of multimodal sensor data. Our next-generation autonomous driving stack depends on finding the rare edge cases, long-tail scenarios, and model errors that matter most. Omnitag, our ML-powered multimodal data mining framework, is the engine that powers this discovery.

As a Senior Machine Learning Engineer on the Data Mining team, your mission is to build the "Brain" of this engine: designing massive multimodal Teacher models that understand the world, and distilling them into hyper-efficient Student models that can scour exabytes of data in near real-time. You will work at the intersection of large-scale representation learning, retrieval optimization, and reasoning systems. Your work will directly influence how we compress knowledge into efficient encoders for fast search, and how we apply reinforcement learning to optimize data discovery workflows and intelligent querying. By building smarter mining tools, you will accelerate the entire model improvement lifecycle for teams working on post-training analysis, error diagnosis, and dataset curation.

What You'll Do:

• Architect and Train Distilled Models: Design and implement teacher-student model frameworks for multimodal sensor data. Develop training pipelines for knowledge distillation. Ensure student models maintain high accuracy while drastically reducing inference latency and memory footprint.
• Reinforcement Learning for Data Discover: Build RL-based policy learning and reasoning systems for autonomous driving applications. Implement and scale RL training workflows (e.g., PPO, DQN, actor-critic methods) for simulation and real-world interaction. Explore reward shaping, environment modeling, and multi-agent RL where applicable.
• Optimize Model Deployment for Real-Time Inference: Collaborate with backend engineers to deploy distilled and RL models into production. Optimize for latency, throughput, and hardware efficiency across GPU/CPU clusters. Implement model versioning, A/B testing, and monitoring for performance regressions.
• Research and Integrate Agentic Systems: Explore and prototype agentic workflows for autonomous reasoning, chain-of-thought prompting, and goal-directed behavior. Integrate such systems into our broader autonomy stack as experimental or production components.
• Drive Production Reliability: Establish patterns for graceful degradation, fault tolerance, and cost optimization. Operate Omnitag as a mission-critical data platform serving the entire ML organization, with a focus on reliability, debuggability, and operational excellence.
• Mentor and Collaborate: Work closely with ML scientists, data engineers, and autonomy teams to translate research advances into scalable engineering solutions. Guide junior engineers in best practices for model training, evaluation, and deployment.

What We're Looking For:

• BS in Computer Science, Machine Learning, or related field, or equivalent professional experience.
• 6+ years of hands-on experience in machine learning engineering, with a focus on model post training, optimization, and deployment.
• Strong experience with model distillation or teacher-student training - practical knowledge of loss functions, training strategies, and evaluation of compressed models.
• Proven experience with reinforcement learning in production or research settings: policy optimization, reward design, simulation environments, and RL-based reasoning.
• Expert-level proficiency in Python and ML frameworks (PyTorch, TensorFlow, or JAX).
• Strong software engineering fundamentals: testing, CI/CD, containerization, and system design.
• Experience deploying ML models in cloud environments (AWS, GCP, or Azure) and optimizing for inference.
• Demonstrated ability to ship production-grade ML systems and mentor team members.
• Demonstrated track record of shipping robust, well-tested, production-grade systems and mentoring junior engineers

Bonus Points (Nice-to-Haves):

• MS/PhD in Computer Science, Machine Learning, or related field.
• Experience with agentic systems, autonomous reasoning, chain-of-thought models, or LLM-based planning.
• Background in autonomous driving, robotics, or real-time decision-making systems.
• Familiarity with multimodal learning, sensor fusion, or embodied AI.
• Experience building active learning loops, using the model to find the data that breaks the model.
• Experience with ML-based data mining, active learning, or contrastive learning.
• Knowledge of model serving tools (TF Serving, Triton, TorchServe) and MLOps platforms.
• Publications or open-source contributions in RL, distillation, or efficient ML.
  
  

We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote.

Motional’s Las Vegas office is located less than 10 miles from the Las Vegas strip at 730 E Pilot Road and is home to one of the largest fleets of self-driving vehicles. The city’s grid system of roads and being one of America’s “smart cities” allows for extensive research and development testing.

This role is based in our Las Vegas office and requires in-office days each week.

Mission Summary:

Join us as a key technical leader in Las Vegas as we launch our commercial Autonomous Vehicle (AV) ride service. We are seeking a Staff Software Engineer with a strong product mindset to bridge the gap between our Operations partners and our global Engineering team. You will lead the development of critical operational tools—like fleet management and orchestration systems—while shaping the roadmap to ensure our technology meets real-world needs.

What You'll Be Doing:

Hands-on Development & Leadership

• Build High-Impact Ops Tools: Lead the coding and delivery of frontend and backend services that the Operations team uses daily to monitor and manage the fleet. You will balance long-term scalability with the need for immediate operational solutions.
• Act as the primary engineering presence at the Las Vegas AV operation center, providing real-time technical support and troubleshooting to ensure daily mission success.
• You will interview and onboard future hires, mentor junior engineers, and define the workflows (handovers, async communication, documentation standards) that enable seamless collaboration between Las Vegas and Singapore.

Product Engineering & Stakeholder Alignment

• Own the "Ops-to-Tech" Bridge: Partner deep with Operations, Product, and TPMs to translate complex, real-world fleet challenges into clear, actionable technical requirements for the global engineering team.
• Shape the Tooling Roadmap: Drive the vision for our fleet management and orchestration systems. You won't just build tickets; you will identify the right problems to solve to increase fleet efficiency and reduce manual toil.
• Feedback Loop Architect: Design processes and features that turn qualitative operational feedback into quantitative data, helping the global team prioritize platform improvements.

What We're Looking For:

• 8+ years of professional experience as a software engineer, with a proven track record of designing and building distributed systems.
• Strong "Product" Mindset: You are obsessed with value. You can look at a chaotic operational floor and architect a software solution that brings order and efficiency.
• Experience supporting production systems with a customer-centric mindset and strong communication skills.
• Ability to manage stakeholders (Ops, Product) and communicate effectively with a remote engineering team to get things done without owning the entire stack.
• Proficiency in Golang / Python for web service and scripting.
• Experience building cloud services using SQL and NoSQL databases.
• A Bachelor's or Master's in Computer Science, Engineering, or a related field (or equivalent practical experience).

Bonus Points (not required): 

• Experience with Amazon Web Services (AWS), Docker, and Terraform.
• Experience with OLAP databases (e.g., ClickHouse) or building observability tools for monitoring and tracing.
• Previous experience in the Autonomous Vehicle (AV), Robotics, or IoT industries.

Mission Summary:

At Motional, we're transforming how autonomous vehicles discover critical intelligence hidden within petabytes of multimodal sensor data. Our next-generation autonomous driving stack depends on finding the rare edge cases, long-tail scenarios, and model errors that matter most. Omnitag, our ML-powered multimodal data mining framework, is the engine that powers this discovery.

As a Senior Machine Learning Engineer on the Data Mining team, your mission is to build the "Brain" of this engine: designing massive multimodal Teacher models that understand the world, and distilling them into hyper-efficient Student models that can scour exabytes of data in near real-time. You will work at the intersection of large-scale representation learning, retrieval optimization, and reasoning systems. Your work will directly influence how we compress knowledge into efficient encoders for fast search, and how we apply reinforcement learning to optimize data discovery workflows and intelligent querying. By building smarter mining tools, you will accelerate the entire model improvement lifecycle for teams working on post-training analysis, error diagnosis, and dataset curation.

What You'll Do:

• Architect and Train Distilled Models: Design and implement teacher-student model frameworks for multimodal sensor data. Develop training pipelines for knowledge distillation. Ensure student models maintain high accuracy while drastically reducing inference latency and memory footprint.
• Reinforcement Learning for Data Discover: Build RL-based policy learning and reasoning systems for autonomous driving applications. Implement and scale RL training workflows (e.g., PPO, DQN, actor-critic methods) for simulation and real-world interaction. Explore reward shaping, environment modeling, and multi-agent RL where applicable.
• Optimize Model Deployment for Real-Time Inference: Collaborate with backend engineers to deploy distilled and RL models into production. Optimize for latency, throughput, and hardware efficiency across GPU/CPU clusters. Implement model versioning, A/B testing, and monitoring for performance regressions.
• Research and Integrate Agentic Systems: Explore and prototype agentic workflows for autonomous reasoning, chain-of-thought prompting, and goal-directed behavior. Integrate such systems into our broader autonomy stack as experimental or production components.
• Drive Production Reliability: Establish patterns for graceful degradation, fault tolerance, and cost optimization. Operate Omnitag as a mission-critical data platform serving the entire ML organization, with a focus on reliability, debuggability, and operational excellence.
• Mentor and Collaborate: Work closely with ML scientists, data engineers, and autonomy teams to translate research advances into scalable engineering solutions. Guide junior engineers in best practices for model training, evaluation, and deployment.

What We're Looking For:

• BS in Computer Science, Machine Learning, or related field, or equivalent professional experience.
• 6+ years of hands-on experience in machine learning engineering, with a focus on model post training, optimization, and deployment.
• Strong experience with model distillation or teacher-student training - practical knowledge of loss functions, training strategies, and evaluation of compressed models.
• Proven experience with reinforcement learning in production or research settings: policy optimization, reward design, simulation environments, and RL-based reasoning.
• Expert-level proficiency in Python and ML frameworks (PyTorch, TensorFlow, or JAX).
• Strong software engineering fundamentals: testing, CI/CD, containerization, and system design.
• Experience deploying ML models in cloud environments (AWS, GCP, or Azure) and optimizing for inference.
• Demonstrated ability to ship production-grade ML systems and mentor team members.
• Demonstrated track record of shipping robust, well-tested, production-grade systems and mentoring junior engineers

Bonus Points (Nice-to-Haves):

• MS/PhD in Computer Science, Machine Learning, or related field.
• Experience with agentic systems, autonomous reasoning, chain-of-thought models, or LLM-based planning.
• Background in autonomous driving, robotics, or real-time decision-making systems.
• Familiarity with multimodal learning, sensor fusion, or embodied AI.
• Experience building active learning loops, using the model to find the data that breaks the model.
• Experience with ML-based data mining, active learning, or contrastive learning.
• Knowledge of model serving tools (TF Serving, Triton, TorchServe) and MLOps platforms.
• Publications or open-source contributions in RL, distillation, or efficient ML.
  
  

We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote.

Mission Summary:

At Motional, we're transforming how autonomous vehicles discover critical intelligence hidden within petabytes of multimodal sensor data. Our next-generation autonomous driving stack depends on finding the rare edge cases, long-tail scenarios, and model errors that matter most. Omnitag, our ML-powered multimodal data mining framework, is the engine that powers this discovery.

As a Senior Machine Learning Engineer on the Data Mining team, your mission is to build the "Brain" of this engine: designing massive multimodal Teacher models that understand the world, and distilling them into hyper-efficient Student models that can scour exabytes of data in near real-time. You will work at the intersection of large-scale representation learning, retrieval optimization, and reasoning systems. Your work will directly influence how we compress knowledge into efficient encoders for fast search, and how we apply reinforcement learning to optimize data discovery workflows and intelligent querying. By building smarter mining tools, you will accelerate the entire model improvement lifecycle for teams working on post-training analysis, error diagnosis, and dataset curation.

What You'll Do:

• Architect and Train Distilled Models: Design and implement teacher-student model frameworks for multimodal sensor data. Develop training pipelines for knowledge distillation. Ensure student models maintain high accuracy while drastically reducing inference latency and memory footprint.
• Reinforcement Learning for Data Discover: Build RL-based policy learning and reasoning systems for autonomous driving applications. Implement and scale RL training workflows (e.g., PPO, DQN, actor-critic methods) for simulation and real-world interaction. Explore reward shaping, environment modeling, and multi-agent RL where applicable.
• Optimize Model Deployment for Real-Time Inference: Collaborate with backend engineers to deploy distilled and RL models into production. Optimize for latency, throughput, and hardware efficiency across GPU/CPU clusters. Implement model versioning, A/B testing, and monitoring for performance regressions.
• Research and Integrate Agentic Systems: Explore and prototype agentic workflows for autonomous reasoning, chain-of-thought prompting, and goal-directed behavior. Integrate such systems into our broader autonomy stack as experimental or production components.
• Drive Production Reliability: Establish patterns for graceful degradation, fault tolerance, and cost optimization. Operate Omnitag as a mission-critical data platform serving the entire ML organization, with a focus on reliability, debuggability, and operational excellence.
• Mentor and Collaborate: Work closely with ML scientists, data engineers, and autonomy teams to translate research advances into scalable engineering solutions. Guide junior engineers in best practices for model training, evaluation, and deployment.

What We're Looking For:

• BS in Computer Science, Machine Learning, or related field, or equivalent professional experience.
• 6+ years of hands-on experience in machine learning engineering, with a focus on model post training, optimization, and deployment.
• Strong experience with model distillation or teacher-student training - practical knowledge of loss functions, training strategies, and evaluation of compressed models.
• Proven experience with reinforcement learning in production or research settings: policy optimization, reward design, simulation environments, and RL-based reasoning.
• Expert-level proficiency in Python and ML frameworks (PyTorch, TensorFlow, or JAX).
• Strong software engineering fundamentals: testing, CI/CD, containerization, and system design.
• Experience deploying ML models in cloud environments (AWS, GCP, or Azure) and optimizing for inference.
• Demonstrated ability to ship production-grade ML systems and mentor team members.
• Demonstrated track record of shipping robust, well-tested, production-grade systems and mentoring junior engineers

Bonus Points (Nice-to-Haves):

• MS/PhD in Computer Science, Machine Learning, or related field.
• Experience with agentic systems, autonomous reasoning, chain-of-thought models, or LLM-based planning.
• Background in autonomous driving, robotics, or real-time decision-making systems.
• Familiarity with multimodal learning, sensor fusion, or embodied AI.
• Experience building active learning loops, using the model to find the data that breaks the model.
• Experience with ML-based data mining, active learning, or contrastive learning.
• Knowledge of model serving tools (TF Serving, Triton, TorchServe) and MLOps platforms.
• Publications or open-source contributions in RL, distillation, or efficient ML.
  
  

We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote.

Mission Summary

The AI Data Foundry is the vital link between our company's expansive data and the engineering teams that rely on it. We architect and operate the core services and infrastructure necessary to transform petabytes of raw data each month into actionable insights for our Machine Learning and Autonomy engineers. This role is a key contributor across our core initiatives:

• Data Processing: We are building state-of-the-art infrastructure to meet the demands of our rapidly scaling fleet and sophisticated ML engineering requirements. You will be responsible for ensuring that our core data pipelines are robustly engineered—meaning they are performant, user-friendly, and highly fault-tolerant.
• Data Discovery: we are building a platform that combines cataloging data for search needs across our metadata stores, vector datastores, and various data warehouses to super charge our ML pipelines. You would be coming in and working with ML and autonomy stakeholders to build out this new discovery platform. 
• Data Lineage: we are getting started with building our data lineage system that will track the usage of all data at Motional. You would work with our stakeholders to ensure our system is widely adopted and address customer pain points.

What You'll Be Doing

• Play a key role in designing and building the next generation of data infrastructure.
• Build scalable backend services for data discovery and data lineage systems.
• Write high quality, maintainable code to process petabytes of data 
• Lead and champion high-level system design and quality code reviews/technical contributions.
• Design, build, and maintain scalable data processing and access with cloud ETL technology.

What We're Looking For

• 3+ years of professional experience as a data engineer or data pipeline engineer
• BS or MS in Computer Science or related field
• Strong development experience with Python and SQL.
• Expertise with AWS services and solutions (EKS, Lambda, ETL) 
• Experience with distributed system design and development
• Comfortable working in a fast-paced, continuous delivery environment

Bonus Points (not required): 

• Experience with Infrastructure Monitoring
• Experience working in cross-functional development teams 

Mission Summary:

At Motional, we're transforming how autonomous vehicles discover critical intelligence hidden within petabytes of multimodal sensor data. Our next-generation autonomous driving stack depends on finding the rare edge cases, long-tail scenarios, and model errors that matter most. Omnitag, our ML-powered multimodal data mining framework, is the engine that powers this discovery.

As a Senior Machine Learning Engineer on the Data Mining team, your mission is to build the "Brain" of this engine: designing massive multimodal Teacher models that understand the world, and distilling them into hyper-efficient Student models that can scour exabytes of data in near real-time. You will work at the intersection of large-scale representation learning, retrieval optimization, and reasoning systems. Your work will directly influence how we compress knowledge into efficient encoders for fast search, and how we apply reinforcement learning to optimize data discovery workflows and intelligent querying. By building smarter mining tools, you will accelerate the entire model improvement lifecycle for teams working on post-training analysis, error diagnosis, and dataset curation.

What You'll Do:

• Architect and Train Distilled Models: Design and implement teacher-student model frameworks for multimodal sensor data. Develop training pipelines for knowledge distillation. Ensure student models maintain high accuracy while drastically reducing inference latency and memory footprint.
• Reinforcement Learning for Data Discover: Build RL-based policy learning and reasoning systems for autonomous driving applications. Implement and scale RL training workflows (e.g., PPO, DQN, actor-critic methods) for simulation and real-world interaction. Explore reward shaping, environment modeling, and multi-agent RL where applicable.
• Optimize Model Deployment for Real-Time Inference: Collaborate with backend engineers to deploy distilled and RL models into production. Optimize for latency, throughput, and hardware efficiency across GPU/CPU clusters. Implement model versioning, A/B testing, and monitoring for performance regressions.
• Research and Integrate Agentic Systems: Explore and prototype agentic workflows for autonomous reasoning, chain-of-thought prompting, and goal-directed behavior. Integrate such systems into our broader autonomy stack as experimental or production components.
• Drive Production Reliability: Establish patterns for graceful degradation, fault tolerance, and cost optimization. Operate Omnitag as a mission-critical data platform serving the entire ML organization, with a focus on reliability, debuggability, and operational excellence.
• Mentor and Collaborate: Work closely with ML scientists, data engineers, and autonomy teams to translate research advances into scalable engineering solutions. Guide junior engineers in best practices for model training, evaluation, and deployment.

What We're Looking For:

• BS in Computer Science, Machine Learning, or related field, or equivalent professional experience.
• 6+ years of hands-on experience in machine learning engineering, with a focus on model post training, optimization, and deployment.
• Strong experience with model distillation or teacher-student training - practical knowledge of loss functions, training strategies, and evaluation of compressed models.
• Proven experience with reinforcement learning in production or research settings: policy optimization, reward design, simulation environments, and RL-based reasoning.
• Expert-level proficiency in Python and ML frameworks (PyTorch, TensorFlow, or JAX).
• Strong software engineering fundamentals: testing, CI/CD, containerization, and system design.
• Experience deploying ML models in cloud environments (AWS, GCP, or Azure) and optimizing for inference.
• Demonstrated ability to ship production-grade ML systems and mentor team members.
• Demonstrated track record of shipping robust, well-tested, production-grade systems and mentoring junior engineers

Bonus Points (Nice-to-Haves):

• MS/PhD in Computer Science, Machine Learning, or related field.
• Experience with agentic systems, autonomous reasoning, chain-of-thought models, or LLM-based planning.
• Background in autonomous driving, robotics, or real-time decision-making systems.
• Familiarity with multimodal learning, sensor fusion, or embodied AI.
• Experience building active learning loops, using the model to find the data that breaks the model.
• Experience with ML-based data mining, active learning, or contrastive learning.
• Knowledge of model serving tools (TF Serving, Triton, TorchServe) and MLOps platforms.
• Publications or open-source contributions in RL, distillation, or efficient ML.
  
  

We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote.

Mission Summary:

As a Principal Engineer within the Platform Engineering group, you will serve as the primary architect for Motional’s global cloud and hybrid infrastructure. Your mission is to evolve our current R&D environment into a hardened, cost-efficient, and scalable commercial backbone. You will lead the technical strategy for our hybrid cloud migration and ensure our internal frameworks provide  the velocity required for rapid AV deployment.

What you’ll be doing:

• Architect and drive the execution of our hybrid cloud strategy. You will design the networking, security, and compute abstraction layers that allow seamless workload mobility between on-premises high-performance computing (HPC) and AWS.
• Serve as the primary architect for our Kubernetes-based developer framework. You will identify and implement core improvements to the framework to enhance scalability, cost tracking and access control, reduce configuration complexity, and increase developer velocity.
• Lead organization-wide initiatives to harden service reliability. You will define the standards for observability, failover strategies, and production-grade stability across all platform-layer services.
• Prototype and deploy GenAI-focused tooling and agents to automate Platform Engineering tasks. This includes leveraging LLMs for automated incident response, predictive infrastructure scaling, and intelligent log analysis.
• Act as the final technical authority for infrastructure decisions, ensuring all new platform services align with long-term scalability and security goals.

What we’re looking for:

• Bachelor's or Master's in Computer Science, Engineering, or a related field (or equivalent practical experience)
• 12+ years in Software or Infrastructure Engineering, with significant experience in a Principal or Architect capacity
• Deep, expert-level knowledge of Kubernetes internals and ecosystem (EKS, Operators (KubeRay, ArgoWorkflow, Airflow), Service Mesh, GitOps)
• Proven track record of designing and migrating complex workloads between on-prem data centers and AWS
• Experience with Infrastructure-as-Code (Terraform/CloudFormation, Terraform Cloud/Spacelift/Atlantis) and advanced observability tooling (OpenTelemetry, Prometheus, Grafana, Datadog)
• Expert in architecting AI-driven operations, leveraging LLMs and agentic workflows to automate incident response, predictive scaling, and intelligent system observability
• Demonstrated ability to influence technical roadmaps across an entire engineering organization and mentor senior technical staff.

Bonus Points (not required):

• Expert-level experience managing and architecting solutions using Equinix datacenter products and services (e.g., Equinix Fabric, Network Edge, Metal) to enable high-speed hybrid cloud connectivity (AWS Direct Connect)
• Prior experience in the Autonomous Vehicle, Robotics, or large-scale IoT/Fleet Management industries.
• Experience leading technical projects in a globally distributed team
• Proven expertise in CI/CD orchestration, build systems (Bazel), frameworks

We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote.

Who are we hiring?

The Vice President of Revenue Strategy will lead the Revenue Strategy function for Sphere, overseeing the development and execution of strategies across all key revenue streams, with a primary focus on maximizing the performance of Sphere Original Experiences.

This role is responsible for building and leading a high-impact team that drives revenue optimization through dynamic pricing, advanced forecasting, inventory management, and scheduling across a diverse and evolving content slate. The VP will architect and scale a sophisticated ecosystem of tools, models, and insights that enable automation, precision, and agility in decision-making that will optimize revenue.

As a senior leader, this individual will operate at the intersection of strategy, analytics, and commercial execution, translating complex, ambiguous business challenges into structured, scalable solutions that drive market share, utilization, and long-term revenue growth.

What will you do?

• Define and execute the overarching revenue strategy across Sphere’s business, with a focus on maximizing the performance of Sphere Original Experiences.
• Own pricing, yield, and inventory strategies to drive revenue, attendance, and long-term value.
• Continuously evolve strategy to respond to market dynamics, audience behavior, and emerging opportunities.
• Lead the development of advanced dynamic pricing models and demand-based strategies.
• Oversee short- and long-term forecasting frameworks to support strategic planning and real-time decision-making.
• Establish best-in-class predictive modeling across demand, elasticity, and performance scenarios.
• Own ticketing revenue projections, budget development, and performance tracking working closely with finance partners.
• Direct scheduling strategy across a multi-content slate to maximize utilization and audience reach.
• Oversee show calendars, showtimes, and release strategies aligned to demand patterns and growth objectives.
• Partner cross-functionally to ensure alignment between scheduling, marketing, and commercial strategies.
• Lead the development of a scalable ecosystem of tools, platforms, and technologies that enable automated pricing, forecasting, and inventory management.
• Manage and optimize existing vendor partnerships while identifying and implementing new solutions to drive efficiency, scalability, and performance.
• Drive innovation in systems and workflows to support a rapidly growing and evolving business.
• Partner with Marketing, Finance, Data & Analytics, Sales, and Product to align on revenue-driving initiatives.
• Establish rigorous operating rhythms, including business reviews and performance analysis, to continuously improve outcomes.
• Serve as a key strategic advisor to senior leadership on revenue and growth opportunities.
• Build, lead, and scale a high-performing team across revenue strategy, data analytics, data science and ticketing.
• Foster a culture of accountability, innovation, and analytical rigor.
• Communicate complex insights clearly to executive stakeholders and influence decision-making at the highest levels.
• Champion a data-driven, test-and-learn approach to continuously evolve capabilities.

What do you need to succeed? 

• 12+ years of experience in revenue strategy, pricing, analytics, or related fields, with significant executive leadership experience overseeing high-impact, revenue-driving functions.
• Proven track record of building and scaling dynamic pricing, forecasting, and revenue management systems in complex, high-growth, multi-product environments.
• Deep expertise in predictive modeling, advanced analytics, and data-driven decision-making, with the ability to translate insights into commercial impact.
• Strong understanding of end-to-end revenue levers, including pricing, inventory, scheduling, and marketing, and how they interact to drive demand, utilization, and yield.
• Experience leading content or inventory-based businesses where scheduling and capacity optimization are critical (e.g., live entertainment, ticketing, hospitality, or airlines.)
• Demonstrated success managing first party and third-party data ecosystems, as well as vendor platforms and partnerships that enable scale and automation.
• Executive presence with experience owning significant revenue targets and influencing cross-functional stakeholders at all levels of the organization.
• Proven ability to lead and scale high-performing teams, fostering a culture of accountability, innovation, and analytical rigor.
• Exceptional communication and strategic thinking skills, with the ability to simplify complex concepts and drive alignment across technical and non-technical audiences.
• Highly effective at navigating ambiguity, solving complex business challenges, and operating in a fast-paced, evolving environment.

#LI-Onsite

About SecurityScorecard:

SecurityScorecard is the global leader in cybersecurity ratings, with over 12 million companies continuously rated, operating in 64 countries. Founded in 2013 by security and risk experts Dr. Alex Yampolskiy and Sam Kassoumeh and funded by world-class investors, SecurityScorecard’s patented rating technology is used by over 25,000 organizations for self-monitoring, third-party risk management, board reporting, and cyber insurance underwriting; making all organizations more resilient by allowing them to easily find and fix cybersecurity risks across their digital footprint. 

Headquartered in New York City, our culture has been recognized by Inc Magazine as a "Best Workplace,” by Crain’s NY as a "Best Places to Work in NYC," and as one of the 10 hottest SaaS startups in New York for two years in a row. Most recently, SecurityScorecard was named to Fast Company’s annual list of the World’s Most Innovative Companies for 2023 and to the Achievers 50 Most Engaged Workplaces in 2023 award recognizing “forward-thinking employers for their unwavering commitment to employee engagement.”  SecurityScorecard is proud to be funded by world-class investors including Silver Lake Waterman, Moody’s, Sequoia Capital, GV and Riverwood Capital.

About the Role

SecurityScorecard's Solutions Architects team are trusted security advisors and business partners both internally and to prospective clients, offering deep knowledge about the market and our solution. We are intellectually curious, find great reward in delivering valuable solutions to customers, and are passionate about cybersecurity.

We are looking for an experienced and dynamic Solutions Architecture to work with our Sales teams across the US. The candidate will own the pre-sales technical engagement with our customers. The ideal candidate will have a strong technical background, exceptional verbal skills and be a strong cross functional collaborator.

Success in this role requires security and technical acumen to develop a deep understanding of SecurityScorecard's architecture and services and a consultative approach to understanding customer business needs. You'll leverage your strategic communication skills to engage in technical and business discussions with engineers and senior decision makers alike, translating customer needs into technical requirements and conveying the merit of SecurityScorecard's solutions throughout.  

NOTE:  It is a requirement that this role is in the Pacific or Mountain time zones.

Key Responsibilities

• Collaborate with the Sales team to identify technical requirements and develop customized solutions that address complex client needs, while driving revenue growth and customer satisfaction
• Delivery of compelling technical presentations, product demonstrations and Proof of Value projects for prospective clients
• Support SecurityScorecard at Industry events and C level round table events
• Work closely with Product Management and Engineering to provide market feedback and influence product roadmap based on customer needs and competitive landscape
• Proven track record of gathering detailed success metrics for customer PoV’s, including tracking and reporting
• Awareness and enforcement of MEDDPICC best practices in sales cycles
• Become a subject matter expert on cyber first Supply Chain services.
• Ability to engage with all different types of personalities and working styles across the team
• Build and foster strong relationships with other business teams, such as Marketing, Support and Customer Success
• Not afraid to be a champion for your prospects, advocating for their needs.

Skills and Experience

• 5+ years of relevant work experience (cybersecurity, TPRM, GRC, and/or similar)
• Demonstrated presentation and interpersonal skills; communicate in front of large groups with a mixed audience of technical and non-technical 
• Experience working with enterprise level clients and managing complex sales cycles
• Demonstrated ability to manage complex technical projects, demonstrate clear business value and lead technical strategy in sales engagements
• Bachelor Degree in Computer Science or equivalent work experience
• Sales experience NOT REQUIRED, but experience of selling technical SaaS and/or managed service solutions a plus
• Industry Certifications such as CEH, CISSP, CompTIA Security+ CISA  GCIH etc a plus

Traits

• Highly motivated self starter who works well cross functionally
• Intellectually curious; seeks to continually self-educate and evolve domain specific knowledge 
• Willing to travel on day and overnight trips throughout the US

Benefits:

Specific to each country, we offer a competitive salary, stock options, Health benefits, and unlimited PTO, parental leave, tuition reimbursements, and much more!

The estimated total compensation range for this position is $100,000 - $195,000 (base plus bonus). Actual compensation for the position is based on a variety of factors, including, but not limited to affordability, skills, qualifications and experience, and may vary from the range. In addition to base salary, employees may also be eligible for annual performance-based incentive compensation awards and equity, among other company benefits. 

SecurityScorecard is committed to Equal Employment Opportunity and embraces diversity. We believe that our team is strengthened through hiring and retaining employees with diverse backgrounds, skill sets, ideas, and perspectives. We make hiring decisions based on merit and do not discriminate based on race, color, religion, national origin, sex or gender (including pregnancy) gender identity or expression (including transgender status), sexual orientation, age, marital, veteran, disability status or any other protected category in accordance with applicable law. 

We also consider qualified applicants regardless of criminal histories, in accordance with applicable law. We are committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need assistance or accommodation due to a disability, please contact talentacquisitionoperations@securityscorecard.io.

Any information you submit to SecurityScorecard as part of your application will be processed in accordance with the Company’s privacy policy and applicable law. 

SecurityScorecard does not accept unsolicited resumes from employment agencies.  Please note that we do not provide immigration sponsorship for this position.   #LI-DNI

Relay is the Intelligent System of Action for the physical economy. While the digital revolution has historically left the deskless workforce behind, we are closing that gap by transforming analog frontline operations into a data-rich, AI-powered ecosystem. We aren’t just selling radios; we are building the digital foundation for the 80% of the global workforce that doesn't work at a desk.

It is an incredibly exciting time to be joining Relay, given we've recently ranked #175 on the Deloitte Technology Fast 500 and #920 on the Inc. 5000. 

Why Join Relay?

• A Proven Winner: Join a hyper-growth company trusted by over 10% of the Fortune 500 and a dozen of the Fortune 100.
• High Value, High Impact: With 47% of our revenue coming from $100K+ ARR customers and a 135% Net Revenue Retention (NRR), you will be joining a company rooted in value creation.
• Market-Leading Innovation: The Relay platform captures 1 billion new data points weekly and features award-winning AI tools like TeamTranslate™, which has seen 500% YoY growth.
• World-Class Leadership: Our already stellar C-suite has been bolstered by leaders to help us scale toward our next major milestones.
• The Relay Culture: 100% paid health insurance and a team dedicated to "Best Work In My Life" (BWIML).

If you're passionate about technology, driven to make a difference and align your work to a bigger mission, and excited to join a company that's shaping the future of frontline work, we encourage you to explore opportunities at Relay!

Enterprise Account Executive - Casino Segment

Location: Las Vegas, NV (Local presence required)

• Strategic Territory Ownership: Develop and execute a surgical sales plan targeting the big players and independent Integrated Resorts across the Strip and Downtown.
• C-Suite & Property-Level Navigation: Masterfully navigate the dual-layer decision-making process of Las Vegas (Corporate HQ vs. Property-level leaders).
• Operational Pain Point Identification: Conduct deep-dive assessments into the friction points of casino operations.
• Collaborative Deal Architecture: Partner with Relay’s Sales Engineers and Product teams to lead the charge through pilots and full-scale enterprise rollouts.
• Industry Ambassadorship: Maintain a constant, influential presence at key industry events (G2E, etc.) and within local networks to keep Relay top-of-mind.

• 7+ Years of selling to Las Vegas casinos with a proven track record selling high-ticket enterprise solutions.
• An active, "warm" network of Director, VP, and C-Suite contacts within major gaming operators. You have the credibility to bypass gatekeepers.
• An intimate understanding of how an Integrated Resort functions—you know the difference between back-of-house (BOH) needs and front-of-house (FOH) expectations.
• A history of closing complex, multi-year contracts involving multiple stakeholders, legal, and procurement committees.
• You live and breathe the Las Vegas market; you know the players, the politics, and the pace.

About us: Relay culture, benefits & perks:

Our culture hinges on Relayers getting LIT up in an environment that fosters learning, impact, and teamwork (LIT) where we can *CHASE* the best work in our lives. We call this BWIML (pronounced bee wimmel = Best Work In My Life)!

It's truly amazing what engaged team members can achieve together. Our ever-evolving list of benefits and perks means you'll be able to integrate work into your whole life, focus on health, perform impactful work, grow and learn in your role, look after yourself/your family, and invest in your future. 

At Relay, we offer...

• 100% Paid Insurance Health, Dental, Vision, Long/Short Term Disability, and Life Insurance benefits for you and those who depend on you
• Generous Paid Time Off
• 401(K) Savings Plan + Company Match
• Baby Cash Reward + Paid Parental Leave
• Wellness Perks, including a world-class onsite fitness center with instructor-led classes + locker room, as well as endless outdoor amenities, whether tennis, basketball, cycling, or pickleball is your jam
• Free Snacks and Fun Times
• Latest tech, standing desks, and all the accessories and software you need to succeed in your role

Ready to build something great with us? We can't wait to hear from you.