About World Labs:

We build foundational world models that can perceive, generate, reason, and interact with the 3D world — unlocking AI's full potential through spatial intelligence by transforming seeing into doing, perceiving into reasoning, and imagining into creating. We believe spatial intelligence will unlock new forms of storytelling, creativity, design, simulation, and immersive experiences across both virtual and physical worlds. We bring together a world-class team, united by a shared curiosity, passion, and deep backgrounds in technology — from AI research to systems engineering to product design — creating a tight feedback loop between our cutting-edge research and products that empower our users.

Role Overview

We’re looking for a Senior Product Engineer who thrives at the intersection of product and engineering. You should have strong coding skills across the stack, a deep appreciation for intuitive user experiences, and the technical expertise to design end-to-end systems. In this role, you’ll own product features end-to-end—from ideation through to building responsive, user-centric web apps and backend services. Serving as a "player-coach," you will act as the engineering counterpart to product management to help with technical roadmapping and sprint execution. You will bring crucial software engineering and technical leadership experience to support a highly talented product team that currently leans heavily on design.

What You Will Do:

• Partner directly with product leadership on technical roadmapping, sprint planning, and execution.
• Serve as a Technical Lead and mentor (player-coach) to support a cross-functional product team.
• Contribute technically as a full-stack engineer to both the frontend and backend of our core web applications.
• Develop and ship user-facing features with a highly product-minded approach, moving beyond just building internal tools or libraries.
  
  

Key Qualifications:

• 4-10 years of software engineering experience, demonstrating adaptability and ownership.
• Deep proficiency in modern web application technologies for the frontend (e.g., TypeScript, React) and backend services, with a strong understanding of web architecture; especially in interactive and real-time applications with performance considerations.
• Proven experience serving in a Tech Lead or senior mentorship capacity for engineering and design teams.
• A highly product-minded approach with a strong drive to design end-to-end systems and ship features.
• Excellent problem-solving abilities and a strong foundation in computer science principles.

Preferred Qualifications:

While not required, experience in one or more of the following is a strong plus:

• Experience in 3D graphics programming and shader development, particularly web frameworks such as WebGL and three.js.
• Experience building applications around generative image, video, or 3D AI models.
• Contributions to open-source graphics or machine learning projects.
• Experience working in VFX, gaming, 3D design, or other industries that focus on high-fidelity visual outputs.

Who You Are

• Fearless Innovator: We need people who thrive on challenges and aren't afraid to tackle the impossible.
• Resilient Builder: Impacting Large World Models isn't a sprint; it's a marathon with hurdles. We're looking for builders who can weather the storms of groundbreaking research and come out stronger.
• Mission-Driven Mindset: Everything we do is in service of creating the best spatially intelligent AI systems, and using them to empower people.
• Collaborative Spirit: We're building something bigger than any one person. We need team players who can harness the power of collective intelligence.

We're hiring the brightest minds from around the globe to bring diverse perspectives to our cutting-edge work. If you're ready to work on technology that will reshape how machines perceive and interact with the world, World Labs is your launchpad.

Join us, and let's make history together.

Equal Opportunity & Pay Transparency

Equal Employment Opportunity

World Labs is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, veteran status, or any other characteristic protected under applicable law. We welcome all qualified applicants and are committed to providing reasonable accommodations throughout the hiring process upon request.

California Pay Transparency

In accordance with California law, we disclose the following:

Senior Software Engineer, Energy Storage

This position is on a team building the software platform that powers optimized control and market participation of battery energy storage systems (BESS) — software that runs both on site controllers and in the cloud. Our scope spans the full stack: compute infrastructure, telemetry, asset modeling, alerting, feature ingestion and storage for forecasting and optimization, simulation and operational control orchestration, and integration with energy markets. We're a lean team that holds ourselves to high standards in both the quality of what we build and the speed at which we build it. We value collaboration, trust, learning, and engineering excellence, and we genuinely enjoy building great things together.

Responsibilities will include:

• Contribute to BESS data engineering — building and maintaining telemetry pipelines and stores, and feature ingestion and storage systems for forecasting and optimization
• Design, build, and maintain simulation and training infrastructure — platforms for running and orchestrating simulations at scale
• Develop and operate real-time forecast and optimization workflows, orchestrating pipelines that drive BESS operations
• Support energy market integration, including data ingestion and bid management
• Collaborate across the full stack and across team boundaries to ensure the product system works well as a whole
• Write well-tested, well-monitored software and iteratively improve it over time
• Apply AI tools to accelerate development while maintaining high system design quality and code standards

Desired Qualifications: 

• Strong software design instincts — thinks in systems, reasons from first principles, and understands the real-world challenges of building available, reliable, scalable, and secure distributed systems
• Comfortable using AI tools to move faster without letting them erode system design or code quality
• Excellent collaborator — communicates clearly, listens well, and makes the people around them better
• Bias toward action — takes initiative, makes progress in ambiguous situations, and doesn't wait for perfect information
• Systems thinker and owner — willing to think and collaborate across team boundaries to make sure the product works well as a whole
• Rigorous about quality — writes well-tested, well-monitored software and iterates on it over time
• B.S. or advanced degree in Software Engineering, Computer Science, or another discipline, combined with 2-5 years of experience in software engineering.
• Experience with relevant technologies a plus: Kubernetes, Rust, Python, NATS, PostgreSQL/TimescaleDB, SQLite
• A passion for sustainability and making the world a better place! 

The Product Outcomes team translates product → jobs to be done → workflows → outcomes. We partner across Product, the Customer Office, and CS to ensure every new capability becomes a lever for customer impact, not just a feature launch.

As the Sr. Manager, Product Outcomes, you will lead the team responsible for bridging the gap between product innovation and customer value realization. You will define the strategy, operating model, and cross-functional partnerships that ensure Gong’s most strategic product investments translate into measurable business outcomes for customers.  This role requires a highly autonomous leader who can operate effectively in ambiguity, proactively identify opportunities, build structure where it does not yet exist, and influence senior stakeholders across Product and GTM teams.

RESPONSIBILITIES

• Lead, coach, and develop a team of Product Outcomes Managers, setting clear priorities, success metrics, and accountability for impact.
• Define and evolve the Product Outcomes team strategy, operating model, and repeatable frameworks for translating product capabilities into jobs-to-be-done, workflows, and measurable outcomes.
• Own product-line adoption measurement and improvement across the Product Outcomes team, including defining adoption KPIs, identifying trends and gaps, and partnering cross-functionally to drive measurable improvement.
• Partner closely with Product leadership to help influence roadmap decisions through customer feedback, beta insights, adoption data, and outcome-based recommendations.
• Drive cross-functional alignment across Product, PMM, Enablement, Solution Engineering, Customer Success, Support, Professional Services and Value Engineering to ensure product launches are set up for adoption and customer impact.
• Oversee beta program strategy for strategic launches, including customer selection, success criteria, feedback loops, risk management, and GA readiness.
• Identify patterns across customer use cases, product adoption challenges, feedback, and enablement gaps; turn those insights into scalable solutions.
• Establish clear measures of success for Product Outcomes work, including adoption, value realization, customer health, retention, and ARR influence.
• Operate with a high degree of autonomy, proactively identifying gaps, prioritizing the highest-impact opportunities, and driving initiatives from strategy through execution.

QUALIFICATIONS 

• 10+ years of experience in SaaS, technology, Product, Customer Success, Solutions Consulting, GTM Operations, or related functions.
• 3+ years of people management experience, with a track record of building, coaching, and developing high-performing teams.
• Experience partnering closely with Product teams and influencing product strategy, roadmap priorities, or launch readiness.
• Strong cross-functional leadership skills, with proven ability to influence senior stakeholders and drive alignment without direct authority.
• Demonstrated ability to operate independently in ambiguous, fast-moving environments and create structure, clarity, and momentum.
• Deep understanding of how product capabilities translate into customer jobs-to-be-done, workflows, adoption, and measurable business outcomes.
• Strong systems thinker with experience building scalable frameworks, operating models, or methodologies to solve complex business problems.
• Data-driven mindset with experience defining success metrics, analyzing adoption or usage trends, and turning insights into action.
• Strong understanding of revenue operations, sales workflows, customer success motions.
• Exceptional communication and executive presence, with the ability to build credibility with Product, GTM, Customer teams, and senior leaders.

PERKS & BENEFITS 

• We offer Gongsters a variety of medical, dental, and vision plans, designed to fit you and your family’s needs.
• Wellbeing Fund - flexible wellness stipend to support a healthy lifestyle.
• Mental Health benefits with covered therapy and coaching.
• 401(k) program to help you invest in your future.
• Education & learning stipend for personal growth and development.
• Flexible vacation time to promote a healthy work-life blend.
• Paid parental leave to support you and your family.
• Company-wide recharge days each quarter.
• Work from home stipend to help you succeed in a remote environment.

The annual salary hiring range for this position is $138,000-$210,000  

Compensation is based on factors unique to each candidate, including, but not limited to, job-related skills, qualification, education, experience, and location. At Gong, we have a location-based compensation structure, which means there may be a different range for candidates in other locations. The total compensation package for this position, in addition to base compensation, may include incentive compensation, bonus, equity, and benefits. Some of our sales compensation programs also offer the potential to achieve above targeted earnings for those who exceed their sales targets. 

We are always looking for outstanding Gongsters! So if this sounds like something that interests you regardless of compensation, please reach out. We may have more roles for you to consider and would love to connect.

We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Gong recruiting email communications will always come from the @gong.io domain. Any outreach claiming to be from Gong via other sources should be ignored.

Gong is an equal-opportunity employer. We believe that diversity is integral to our success, and do not discriminate based on race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, military status, genetic information, or any other basis protected by applicable law.

To review Gong's privacy policy, visit https://www.gong.io/gong-io-job-candidates-privacy-notice/ for more details.

#LI-AM1

The best salespeople achieve the most when they are selling outstanding products, solutions, and services backed by an extraordinary company. That’s what you get when you sell for Appian. We are passionate about driving digital transformation by bringing Appian solutions that provide speed, agility, and efficiency needed to compete and grow. Are you inspired by the chance to solve your customers’ biggest challenges? You can make that kind of difference here. Join our team, where you can not only grow your career, but share the success of an industry pioneer.

The Account Executive role is responsible for navigating a primarily greenfield geographic territory, top of funnel activity & prospecting while effectively managing a complex sales cycle (approximately 6-12 months) to a successful close.

To be successful in this role, you need:

• Experience navigating a complex sales cycle from start to finish, leveraging internal resources within the larger sales organization, cross functionally with the customer success team and externally across customer and partner ecosystems
• Strong presentation skills for delivering in-person and virtual presentations to LOB & IT audiences, highlighting your ability to perform client discovery, communicate ROI and build business value 
• A trusted advisor to both customers and colleagues to leverage multiple stakeholders throughout complex deals
• Actively seeking to understand industry trends to help position against competitors

Basic qualifications:

• 5-10+ years of direct selling experience and a minimum of 2 years experience as an Enterprise Account Executive, selling complex technologies at the enterprise level to State, Local and Education customers.
• History of consistent quota achievement
• Examples of landing new customer logos
• Strong job tenure: history of displaying loyalty and perseverance through long, stable job tenure and positive career trajectory

The base salary for this role is between $125,000-$225,000 per year and represents a good faith and reasonable estimate of the range at the time of posting. Actual compensation will be dependent on a number of factors including, but not limited to, the candidate’s relevant work experience, qualifications, internal peer equity, and market and business conditions that exist when extending an offer.[If applicable to position: Sales roles may be eligible to participate in a commission plan subject to the terms of the applicable plans and policies. 

In addition, Appian provides generous benefits offerings that include a 401(k) plan with company match, flexible time off, paid parental leave, medical, dental, and vision plans, life insurance, disability insurance, wellness programs, flexible spending accounts, health savings account contributions, an employee referral bonus program, and learning and development resources. Certain positions may be eligible for equity awards.

Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation, commission, bonus, or benefit plans.

#LI-MB1

What You'll Do

We’re looking for a Contracts Counsel to lead drafting, review, and negotiation of a broad range of agreements. You’ll be a primary legal partner to several business teams, helping scale contracting processes, accelerate deal cycles, and manage risk with practical, business-friendly guidance.

Responsibilities

• Independently draft, review, and negotiate a wide variety of agreements, including master services agreements, statements of work, clinical trial agreements, consulting agreements, quality agreements, NDAs, SaaS/technology agreements, data processing/security addenda, and other vendor/commercial and/or research contracts
• Serve as day-to-day counsel to affiliates and cross-functional stakeholders (e.g., Procurement, Finance, Clinical, Quality, IT/Security, HR, and business teams), advising on contract structure, risk allocation, and negotiation strategy
• Triage contract requests and drive matters through intake, approvals, execution, and repository/CLM workflows; keep deals moving while maintaining consistency with company policies
• Identify and manage key issues (indemnities, limitation of liability, IP ownership/licensing, confidentiality, data privacy/security, insurance, termination, audit rights, subcontracting, compliance)
• Partner with InfoSec/Privacy and other SMEs to align contractual obligations with internal controls (e.g., security requirements, incident response, vendor assessments)
• Act as a strategic stakeholder in the development of processes, systems, and training to support contract lifecycle management
• Develop and maintain templates, fallback positions, playbooks, and process guidance; proactively spot patterns and reduce repeat friction in negotiations
• Support governance, audits, and reporting on contracting volume, cycle times, and risk trends; help train internal teams on contracting best practices
• Coordinate with outside counsel as needed and manage scope/costs

Where You'll Work

This is a hybrid role with in-office collaboration 2x per week in our San Francisco and/or Palo Alto Offices.

Who You Are

• J.D. from an accredited law school and active bar membership in at least one U.S. jurisdiction
• 4–6 years of relevant experience, including at least 2 years at a law firm, with substantial hands-on responsibility negotiating commercial contracts
• Preferred experience in life sciences/biotech/pharma and/or other regulated industries
• Have strong drafting/redlining skills and proven ability to manage negotiations independently
• Have willingness to use and incorporate AI tools on a routine basis
• Organized, responsive, and comfortable managing multiple priorities in a fast-paced environment
• Experience with contracts in the life sciences industry, such as sponsored research and clinical trial agreements
• Experience building contracting infrastructure (templates, playbooks, CLM workflows and tools) and partnering closely with Procurement

About the Role:

Strategic Partnerships support PitchBook's strategic priorities through establishing third party relationships and delivering revenue, exposure, improved market penetration, and/or content to PitchBook. The team works closely with PitchBook’s Segments & Solutions, Direct Data, Product, Data Operations, Commercial, Marketing, Research, RevOps, Legal, and Finance teams to execute on partnership opportunities to maximize the growth of the PitchBook business. 

Partnerships are designed to extend PitchBook’s reach, establish relationships to improve the workflows of our clients, enrich PitchBook’s original data and research with differentiated content, and identify strategic investment opportunities. The Senior Partnerships Manager is responsible for the lifecycle of partnership management including the day-to-day management of a portfolio of existing partnerships which may include key channel partners, proactive outreach to prospective partners, and evaluating inbound partnership opportunities. This role works closely with Strategic Partnerships leadership to contribute to strategic objectives as they relate to partnership opportunities and with stakeholders across all other departments to define market landscape, assess competitive position, and identify potential partners. This role requires someone with a proactive approach to relationship management, ability to weigh partner interests against PitchBook's strategy, and an expertise in building relationships externally and internally within a cross-functional team environment. 

Primary Job Responsibilities:

• Lead partner sourcing efforts by identifying and evaluating new data, research, and capability providers aligned with business needs 
• Manage ongoing relationships with key partners, ensuring service quality and contract compliance, and proactively identify new potential partnership expansion opportunities 
• Oversee contract negotiations, renewals, and amendments in collaboration with Legal and Finance 
• Monitor partner performance and usage metrics to inform renewal decisions and identify optimization opportunities
• Suggest partnership marketing programs to expand key partnership opportunities and collaborate with Marketing and GTM teams to support partner-related campaigns and communications 
• Maintain a robust pipeline of potential partners and track industry trends to inform partner strategy
• Coordinate quarterly payment cycles and budget tracking for partner contracts
• Provide input into partner-related budgeting and forecasting processes 
• Support the vision and values of the company through role modeling and encouraging desired behaviors 
• Participate in various company initiatives and projects as requested 

Skills and Qualifications:

• Bachelor’s degree preferred 
• 7+ years of account management and/or business development experience
• 7+ years of experience working with financial services clients; experience with Investment Banking, Private Equity, Venture Capital, and Limited Partner clients a benefit  
• Domain expertise in at least one of PitchBook’s core capabilities (e.g. Funds & Benchmarking, Credit, Equity Research, etc.) 
• Prior experience with partnership/alliance licensing and go to market structures strongly preferred 
• Exceptional customer-facing skills and experience with key account relationships required
• Ability to gather and distill information from disparate sources to form strategic recommendations  
• Excellent verbal and written communication skills with a keen eye for detail
• Superior cross-team collaboration skills with a proven ability to coordinate with stakeholders across multiple teams and operate in a matrixed environment 
• Proficiency with the Microsoft Office suite (including Copilot) and the ability to pick up new systems and software easily  
• Must be authorized to work in the United States without the need for visa sponsorship now or in the future

Benefits + Compensation at PitchBook:

Physical Health            

• Comprehensive health benefits
• Additional medical wellness incentives 
• STD, LTD, AD&D, and life insurance

Emotional Health 

• Paid sabbatical program after four years
• Paid family and paternity leave 
• Annual educational stipend
• Ability to apply for tuition reimbursement
• CFA exam stipend 
• Robust training programs on industry and soft skills 
• Employee assistance program
• Generous allotment of vacation days, sick days, and volunteer days

Social Health 

• Matching gifts program
• Employee resource groups
• Subsidized emergency childcare  
• Dependent Care FSA
• Company-wide events
• Employee referral bonus program  
• Quarterly team building events

Financial Health 

• 401k match
• Shared ownership employee stock program 
• Monthly transportation stipend

*Please be aware the above PitchBook benefit and perk offerings are subject to corresponding plan and policy documents and may change during the course of your employment. 

Compensation

• Annual base salary: $140,000-$170,000
• Target annual bonus percentage: 10%

Working Conditions:

At the heart of our company is a belief in the power of in-person collaboration. Being together in the office fuels our creativity, strengthens our connections, and drives the innovation that sets us apart. Our culture is built on spontaneous moments—those hallway conversations, whiteboard brainstorms, and shared celebrations in each of our global offices—that simply can’t be replicated remotely. This role is expected to be in the office 5 days a week.

The job conditions for this position are in a standard office setting. Employees in this position use PC and phone on an on-going basis throughout the day. Limited corporate travel may be required to remote offices or other business meetings and events.

We are excited to get to know you and your background. Concerned that you might not meet every requirement? We encourage you to still apply as you might be the right candidate for the role or other roles at PitchBook.

#LI-MS1

#LI-Onsite

Responsibilities

• Support, administer, maintain IT systems supporting Quality and R&D, including Veeva Vault Quality, Clinical, RIM and Safety systems.
• Lead and oversee the migration of data and processes from legacy systems to Veeva (e.g., ZenQMS to Veeva Vault Quality) to ensure seamless transition, data integrity, and GxP compliance
• Partner with business leaders to understand their requirements and continuously improve user adoption and implement new systems, integrations, and GxP compliance initiatives
• Partner with Quality, Clinical, Regulatory, and Safety leaders to support business needs, implement roadmaps, identify, recommend solutions (e.g., Artificial Intelligence (AI)) to drive business value and accelerate innovation
• Work with Managed Service providers and internal IT teams for supporting and monitoring GxP-regulated systems to ensure high-quality service delivery
• Collaborate with CSV QA and compliance functions to validate and ensure alignment with regulatory requirements (e.g., GxP, HIPAA, GDPR)
• Establish governance, documentation, and change control procedures for GxP systems to ensure sustained compliance and operational excellence.
• Drive continuous improvement across the GxP systems landscape by assessing emerging technologies (e.g., AI) and optimizing workflows that support BridgeBio’s business strategy.

Where You’ll Work

• This is a local role and will require minimum 2 days in our San Francisco office. 

Who You Are

• Bachelor’s degree in information technology, Computer Science, Business Administration, or related field; advanced degree preferred
• 7+ years of progressive IT experience within biotech/pharma, including at least 5 years supporting Veeva Quality systems
• Demonstrated expertise in GxP Quality processes, including document lifecycle management, training assignment and compliance tracking, deviation, CAPA, and change control workflows, and inspection readiness. Ability to partner with Quality stakeholders to design, configure, and continuously improve Veeva Vault QualityDocs,
• QMS, and Training solutions in alignment with regulatory expectations (e.g., FDA, EMA) and company SOPs
• Hands-on experience administering and supporting Veeva Vault Quality systems including RIM, Safety and eTMF is strongly preferred
• Experience applying AI/ML and generative AI solutions within GxP environments to improve Quality operations, including use cases such as intelligent document authoring, metadata extraction, quality event trend analysis, and training effectiveness insights, with a strong focus on validation, auditability, data privacy, and integration with Veeva Vault platforms.
• Skilled in leading cross-functional collaboration across Quality, Clinical, Regulatory, and DSPV teams to ensure system alignment and process harmonization
• Experienced in vendor and Managed Service Provider oversight to ensure reliable, compliant, and high-quality system performance
• Strong communication, leadership, and stakeholder management skills with the ability to translate technical concepts into business outcomes

About the Position

Golden State is looking for a hardworking and upbeat Coordinator to join our Partnership Development team. In this role, you will assist in the execution of departmental projects while delivering excellent customer service to our corporate partners. You will also be directly responsible for fulfilling sponsorship agreements and executing promotions and events while providing administrative support to the broader Corporate Partnerships team. This position reports to the Director, Partnership Development.

This is an excellent opportunity to share your expertise while learning more about this growing sports and entertainment organization that values your initiative and dedication!

This is a full-time position based onsite in San Francisco, CA.

Key Responsibilities

• Partner with various departments to ensure fulfillment of partnership client deliverables
• Plan, assist, and execute game day activations such as partnership client events, promotions, VIP experiences, ticket requests, premium gifting, and hosting client groups
• Assist in tracking partner activations (i.e., web, social and radio commercial traffic, as well as activation fund and ticket bank uses)
• Assist with the development of mid-season and/or end of year partner recaps
• Participate in data input and report processing for Warriors and Non-Warriors activations
• Implement new strategies based on research, data, success rates, and market trends to ensure 100% customer satisfaction
• Effectively build and sustain strong partner and internal client relationships
• Attend Warriors home games and special events
• Other duties as assigned

Required Experience & Skills

• Bachelor’s degree or equivalent work experience
• Minimum 2 years of corporate sponsorship and/or sales experience; sports sponsorship preferred from property, agency or brand
• Proficiency in Microsoft Office Suite/Google Suite
• Excellent written and verbal communication, service and resolution skills
• Ability to build positive working relationships with corporate partners and peers at all levels within the organization
• Ability to balance multiple projects at once in a fast-paced work environment

Time Commitment

• Ability to maintain a flexible schedule and attend all home games and special events (i.e., evenings, weekends and holidays) as needed

Compensation

• $21.00 Per Hour + Bonus
• Comprehensive Medical, Dental and Vision benefits for employees and dependents
• Employer 401K match
• Vacation, Summer Half-Day Fridays and a generous paid time off plan for pregnancy and parental leaves
• Warriors home tickets, team store discount and more!

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

 Golden State is an equal opportunity employer.

We will ensure that qualified applicants with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment.

Want to learn more about who we are and what we value? Visit www.warriors.com/employment

Please refer to our California Privacy Notice for more information about how we process your personal information, and your data protection rights.

• Work closely with the R&D leadership (incl. Head of Engineering, Head of Security, Product Management, etc.) to ensure projects are executed effectively and meet deadlines
• Drive new products and features through the development process, serving as a central source of truth for the who, why, what, when, and how of projects you manage
• Develop the requirements to deliver projects successfully by working backwards from target outcomes
• Be a driving force in the organization of customer requests and issues, and collaborate with team leads to balance them against larger product initiatives
• Manage the lifecycle of Engineering tasks and projects, and collaborate cross functionally with stakeholders across the whole company
• Contribute to the maturation of internal tooling and processes that accelerate our teams and simplify delivery execution

• 2+ years experience driving technical projects in professional settings, with technical program management experience being a plus
• Ability to balance multiple concurrent projects in an a fast-paced and frequently evolving environment
• Leadership experience that exemplifies curiosity, compassion, and empathy
• Ability to engage in technical discussion and invest in learning technical concepts
• Computer Science background or other technical / quantitative orientation
• Prior startup experience is a plus

• Unlimited PTO + 10 company holidays
• Pre-Tax commuter benefits
• 100% covered health, vision, and dental insurance 
• 401K Plan
• $200 one-time home office stipend
• In office snacks and free dinner when working past 7pm

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.

About the team

Before Stripe, every growing internet platform had a payments team. Today, every growing internet platform has an Identity team. Identity verification has become core economic infrastructure for online businesses — enabling them to digitally verify their users' identities for fraud prevention, regulatory compliance, and trust and safety purposes.

At Stripe, we're building something more ambitious than a verification product. Our vision is to build the world's most trusted store of verified identities — a single, global, reusable, risk-scored representation of every individual who interacts with Stripe and beyond. This Identity Store becomes a platform with compounding network effects: more verifications enrich the store; a richer store produces better fraud signals; better signals mean lower friction for trusted users; lower friction drives more adoption.

Our product today serves millions of verifications per month for customers like OpenAI, Shopify, and WhatNot, and powers identity verification across multiple internal Stripe products including Fraud, Link, Connect, and Crypto. The problems ahead — adversarial AI and deepfake defense, networked identity infrastructure, progressive verification platforms, and low friction KYC APIs — sit at the frontier of what's possible in identity engineering.

What you’ll do

As a Staff Engineer on the Identity team, you will own the technical direction of one of Stripe's most strategically important product areas. This is not a role defined by task execution — it's a role defined by technical judgment, architectural influence, and the ability to turn an ambitious vision into a reliable, scalable system.

Responsibilities

• Own technical strategy — Define the architecture for Identity's core systems (Identity Store, headless verification platform, fraud detection infrastructure), make build-vs-buy-vs-partner decisions, and surface technical risks before they become customer-facing failures
• Lead 0-1 platform development — Architect net-new systems including the Identity Store, Networked Identity platform, and advanced fraud detection pipeline (behavioral biometrics, deepfake discriminators, adversarial training). Drive the evolution from a hosted-UI product to a headless-API and embedded-components platform
• Drive cross-functional alignment — Be the primary technical voice in roadmap and resourcing discussions. Partner with ML, product, legal, and engineering leads across Risk, Fraud, Link, Connect, and Crypto to ensure Identity's abstractions serve the full breadth of Stripe's product surface
• Raise the technical bar — Set engineering standards across ML, backend, mobile, and front-end; lead design reviews; and mentor senior engineers on the judgment needed to operate a high-stakes, externally-facing product
• Operate with ownership — Be accountable for reliability, scalability, and security of the systems you design — including the observability and alerting that catch model drift and fraud pattern shifts before customers do

Who you are

We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum requirements

• 10+ years of software engineering experience, including 5+ years of experience in a strategic technical leadership role.
• Experience leading engineering team(s) working on API design, abstractions, frameworks, or client libraries (e.g. building internal or external developer products). 
• Proven track record of delivering pragmatic solutions that accelerate business growth 
• Ability to adjust conversations from high-level discussions to detailed coding 
• Thrives on a high level of autonomy and responsibility 
• Clear and persuasive writing and in-person communication 
• Strong problem-solving skills, critical thinking, determination, and a growth mindset 
• Ability to work effectively with a diverse group of people, genuinely caring for each other and contributing to high level of psychological safety for all team members and partner
• Has experience in a range of software languages and frameworks. Examples of what we work with include:
• Languages: primarily Ruby and Typescript, but also Python, Scala, Java, Go, and SQL (Spark and Trino dialects)
• Frameworks: React, GraphQL Kafka, Protobuf, Airflow, Bazel, Temporal, 
• Others: Mongo, Splunk, Prometheus

Preferred qualifications

• Experience with identity verification, fraud detection, or trust and safety systems — especially systems with adversarial inputs at scale
• Familiarity with ML systems in production: model serving, training pipelines, observability, drift detection, and the feedback loops that keep models accurate under adversarial conditions
• Experience building platform products with multiple consumer types — internal platform teams and external developers — where API backward compatibility and abstraction quality are first-class concerns
• Prior experience with 0-1 product builds: you've started with a blank page and ended with a production system, and you have clear opinions about what makes that process go well or poorly
• Exposure to the technical stack we work with: primarily Ruby and TypeScript on the backend and web, Python for ML and data pipelines, with infrastructure spanning Kafka, Temporal, Protobuf, React, and distributed data stores
• Experience navigating ambiguity in a fast-moving organization — you can make confident technical decisions with incomplete information and update gracefully when new constraints emerge

Why Stripe Identity

• The market is at an inflection point. The global identity verification market is growing at ~15% CAGR, from $12.5B in 2024 to $21.8B by 2028. Competitors have more features today — but none of them have Stripe's moat: payments signals, fraud network, consumer graph, and KYC data spanning the full financial ecosystem. We're building to win the next decade, not the last one.
• The problems are genuinely hard. Adversarial ML against deepfakes and face swaps. Distributed identity graph architecture with real-time freshness requirements. Progressive verification APIs that minimize friction without sacrificing fraud detection accuracy. These are unsolved problems — not just at Stripe, but in the industry.
• You'll work on systems that matter immediately. The verifications we run protect real users from real fraud. When our recall improves by 10 points, that's millions of dollars in prevented fraud losses for customers who rely on us. When our mobile SDK completion rate rises, thousands more legitimate users successfully onboard each month.
• The team is small enough that your judgment shapes the architecture. This isn't a role where you inherit decisions made five years ago. It's a role where the decisions you make in 2026 are the ones the team will build on through 2029.

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies — from the world’s largest enterprises to the most ambitious startups — use Stripe to accept payments, grow revenue, and unlock new business opportunities. Our mission is to increase the GDP of the internet, and we have an enormous amount of work ahead.

That creates a rare opportunity: to help build economic infrastructure for the internet and do some of the most meaningful work of your career.

About the team

Stripe’s Total Rewards team designs the programs that help us attract, motivate, and reward exceptional people around the world. We partner closely with leaders across People, Finance, and the business to build compensation programs that are competitive, thoughtful, equitable, and built to scale.

This team sits at the center of how Stripe grows. The work is highly strategic, deeply analytical, and essential to ensuring our compensation approach supports both our people and our long-term ambitions.

What you’ll do

As a Compensation Program Manager, you’ll help shape and operate Stripe’s global compensation programs at a critical moment in our growth. You’ll work on some of the company’s most important people systems — from annual compensation planning to program design, tooling, process improvement, and cross-functional enablement.

This is a role for someone who enjoys solving complex problems, working with data at depth, and turning compensation philosophy into programs that are clear, scalable, and impactful. You’ll collaborate across People, Finance, and business teams to ensure Stripe’s compensation programs continue to be a meaningful advantage as we grow globally.

Responsibilities

• Support the planning, execution, and administration of Stripe’s annual compensation cycle for employees globally
• Conduct research and analysis to inform new compensation policies, frameworks, and programs
• Analyze complex datasets, surface actionable insights, and build tools or models that improve quality, scale, and efficiency
• Partner with People Operations to configure and enhance compensation-related business processes, rule plans, compensation packages, and equity programs
• Collaborate with People Programs, Talent Acquisition, People Operations, and Learning & Development to align compensation programs with business goals and talent strategy
• Develop clear communications and enablement materials to help managers and employees understand Stripe’s compensation programs and philosophy
• Continually assess compensation programs to ensure they are competitive, equitable, compliant, scalable, and aligned with the outcomes Stripe is driving as a business

Who you are

We’re looking for someone who meets the minimum qualifications for the role. If that’s you, we encourage you to apply. Preferred qualifications are a plus, not a requirement.

Minimum requirements

• 6+ years of relevant compensation experience, including designing or managing global compensation programs and processes, ideally in a high-growth technology environment
• Strong knowledge of compensation best practices, market trends, and benchmark data; international compensation experience preferred
• Excellent analytical skills, strong attention to detail, and deep expertise in Excel and/or Google Sheets, including building and maintaining complex models
• Ability to communicate clearly and effectively across a range of audiences, including translating complex quantitative insights into practical guidance for leaders and employees
• Strong project management and organizational skills, with the ability to manage multiple high-priority initiatives in a fast-moving environment
• Strong knowledge of Workday

Preferred qualifications

• Experience using AI to build tools, automate manual work, and improve workflow efficiency
• Exposure to equity administration processes in partnership with Equity Management and/or People Operations teams

We are building a Brand team designed for the speed, scale, and ambition of an AI-era business. Our operating model is structured around two modes: infrastructure work that scales creative capability across the company, and craft work where the full team comes together around the initiatives that define us. As Senior Director, Creative, you will set and uphold the creative standard across both modes, leading design, video, and copy as a unified, high-performing system. You will bring clarity to ambiguity, shaping strong creative direction in fast-moving, cross-functional environments. Partnering closely with Creative Operations, you will ensure creative vision and execution move in lockstep, enabling the team to deliver high-quality, impactful work at pace while continuously evolving the brand.

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Set and uphold the creative standard across design, video, and copy, defining what high-quality work looks like across all initiatives
• Lead and develop people managers and Discipline Leads, elevating their thinking, strengthening craft, and growing the next generation of creative leadership
• Drive the evolution of the Datadog brand, shaping visual language, storytelling, tone, and point of view across channels
• Provide clear, confident creative direction in ambiguous or fast-moving environments, guiding teams toward strong, cohesive outcomes
• Elevate work across disciplines through precise, actionable feedback and strong creative judgment
• Partner closely with Creative Operations to align creative vision with resourcing, workflows, and AI-powered systems that enable execution at scale

Who You Are:

• Strong creative point of view with the ability to define and communicate high standards across design, video, copy, and emerging AI-enabled formats
• 15+ years of experience in leading cross-disciplinary creative teams and aligning multiple craft areas under a cohesive vision
• Proven ability to develop and mentor creative leaders, scaling impact through others rather than individual output alone
• Deep understanding of how creative work is produced, with an appreciation for operations, systems, and scalable workflows
• Leads how AI is integrated into creative work, using it as a creative lever to expand output and scale, while setting clear standards for where human craft remains non-negotiable
• Able to translate ambiguity into clear creative direction, providing specific, actionable feedback that elevates work across disciplines while balancing consistency and evolution of the brand

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth:

• Generous and competitive benefits package
• New hire stock equity (RSUs) and employee stock purchase plan
• Continuous career development and pathing opportunities
• Employee-focused best in class onboarding
• Internal mentor and cross-departmental buddy program
• Friendly and inclusive workplace culture

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

The Team

Our engineering team builds systems that interact with some of the most complex software  ever deployed in production. The team is composed of industry veterans that have built deep learning infrastructure, autonomous drones, ridesharing marketplaces, ad tech and much more. 

We are looking for a client-obsessed AI Solutions Engineer with entrepreneurial tendencies to join the good fight and help build out our Solutions Engineering org. You’ll be the trusted technical advisors for our customers, driving business value, offering advice, and growing accounts. You’ll accomplish this by leading customers to solutions oftentimes by teaching the product to new users or consulting on best practices. You must be ready for technical discussions with data scientists and engineers, then demonstrate the value of Arize in business discussions with directors and executives. The goal is to enable our customers to become successful and enthusiastic about Arize. While we are a remote-first company, the nature of this role requires candidates to be based in the San Francisco Bay area/PST time zone.

What You’ll Do

• Work closely with some of the most sophisticated ML / GenAI teams in the world.
  • You will act as a trusted advisor to our customers, while also building relationships with technical and business stakeholders.
• Advise on GenAI and ML best practices 
• Give ML and LLM product demos to technical and business stakeholders
• Run strategic business reviews for customers in partnership with our sales team
• Interface with our pre-sales engineering team to gather client goals and KPI’s.
• Partner with our product and engineering teams to help drive the product roadmap
• Spearhead new opportunities within existing accounts to help drive expansions.

What We’re Looking For

Note: Even if you do not check every single box, we still encourage you to apply! 

• Previous experience working as a Data Scientist, Machine Learning Engineer, or as an Engineer working with ML models or GenAI applications in production.
• Comfortable working in public Cloud environments (AWS, Azure, GCP)
• Knowledge of machine learning frameworks such as TensorFlow, PyTorch or Scikit-learn
• Knowledge of LLM / Agentic frameworks such as Llamaindex, LangGraph, and DSPy
• Understanding of ML/DS concepts, model evaluation strategies and lifecycle (feature generation, model training, model deployment, batch and real time scoring via REST APIs) and engineering considerations
• Understanding of GenAI concepts and application evaluation + development lifecycle  
• Proficiency in a programming language (Python, JS/TS, Java, Go, etc)
• Strong Communication Skills - Ability to simplify complex, technical concepts.
• A quick and self learner - undaunted by technical complexity of production ML deployments and welcome the challenge to learn about them and develop your own POV.

Bonus Points, But Not Required

• Previous engineering experience in:
  • Data Science
  • MLOps
  • ML Frameworks
  • LLM / Agentic frameworks
• Customer facing experience strongly preferred such as Solutions Architect, Implementation Specialist, Sales Engineer, Customer Success Engineer, Consultant, or Professional Service roles
• Prior experience working with applications deployed with Kubernetes
• Prior experience demoing technical products to both business and technical audiences

The estimated annual salary and variable compensation for this role is between $125,000 - $175,000, plus a competitive equity package. Actual compensation is determined based upon a variety of job related factors that may include: transferable work experience, skill sets, and qualifications. Total compensation also includes a comprehensive benefit package, including: medical, dental, vision, 401(k) plan, unlimited paid time off, generous parental leave plan, and others for mental and wellness support.

While we are a remote-first company, we have opened offices in New York City and the San Francisco Bay Area, as an option for those in those cities who wish to work in-person. For all other employees, there is a WFH monthly stipend to pay for co-working spaces.

CLEAR is building THE secure identity company of the future. Our mission is to make experiences safer and easier—physically and digitally. With more than 38 million Members and a growing network of partners across the world, CLEAR's secure identity platform is transforming the way people live, work, and travel. Whether it’s at the airport, stadium, or throughout your everyday life, CLEAR unlocks the magic of frictionless experiences.

We are seeking a highly experienced and entrepreneurial Director of Commercial Partnerships & Channel Sales to lead and expand our CLEAR1 partner ecosystem across ISVs, VARs, Marketplaces, and System Integrators. As a senior member of the team reporting directly to the Head of Partnerships & Channel Sales, you will shape our partner go-to-market strategy, drive significant revenue through channel-led motions, and help scale the business.

This role requires a self-starter who thrives in fast-paced environments, can shift seamlessly between high-level strategy and hands-on execution, and brings deep expertise in B2B channel sales and partnership models.

What you'll do:

• Execute against CLEAR1’s channel sales strategy to grow revenue through partners and indirect sales motions.
• Evaluate and structure new partnership opportunities that drive distribution, adoption, and new revenue.
• Own revenue targets for partner-sourced and partner-influenced pipelines.
• Manage day-to-day partner relationships, ensuring partners have the resources, support, and guidance needed to drive successful outcomes.
• Collaborate with Product, Legal, Marketing, and Sales leadership to align channel initiatives with business goals and deliver seamless end-user experiences.
• Develop and launch partner incentive programs, promotions, and performance levers that motivate and accelerate channel results.
• Monitor partner performance, providing insights and recommendations to optimize channel productivity.

How you'll measure success:

• Growth in partner-sourced revenue and channel contribution to overall sales.
• High partner engagement with Sales, measurable through deal collaboration, forecasting accuracy, and co-marketing performance.
• Achievement of targeted pipeline generation and conversion rates within the channel.
• Ability to shape roadmap, commercial strategy, and ecosystem investments based on data-driven insights.

What you're great at:

• 8+ years of applicable experience with a proven track record of driving material B2B revenue through channel and ecosystem-based motions.
• Excellent negotiation skills and ability to manage complex commercial partnerships.
• Executive presence with the ability to influence internal and external stakeholders, including C-level leaders.
• Highly adaptable operator with exceptional context-switching abilities across strategy, deals, operations, and execution.
• Data-driven mindset with experience forecasting channel revenue and ROI.
• Bonus: Experience in identity (IAM), security, authentication, or workforce/healthcare platforms (ATS, HCM/HRIS, EHR).

How You'll be Rewarded:

At CLEAR, we help YOU move forward - because when you’re at your best, we’re at our best. You’ll work with talented team members motivated by our mission of making experiences safer and easier. Our offices are bright and energetic with an open concept and plenty of conference rooms and casual co-working spaces. We also offer catered lunches every day and have fully stocked kitchens. Outside of the office, we invest in your well-being and learning & development with stipends and reimbursement programs. 

We offer holistic total rewards, including comprehensive healthcare plans, family-building benefits (fertility and adoption/surrogacy support), flexible time off, annual wellness stipend, free OneMedical memberships for you and your dependents, a CLEAR Plus membership, and a 401(k) retirement plan with employer match. The on-target compensation range for this role is $240,000 - $340,000, depending on levels of skills and experience. This range includes our base salary and variable compensation potential, subject to the terms of the applicable incentive plan at any given time. 

The base salary range represents the low and high end of CLEAR’s salary range for this position. Salaries will vary depending on various factors which include, but are not limited to location, education, skills, experience and performance. The range listed is just one component of CLEAR’s total compensation package for employees and other rewards may include annual bonuses, commission, Restricted Stock Units

CLEAR provides reasonable accommodation to qualified individuals with disabilities or protected needs. Please let us know if you require a reasonable accommodation to apply for a job or perform your job. Examples of reasonable accommodation include, but are not limited to, time off, extra breaks, making a change to the application process or work procedures, policy exceptions, providing documents in an alternative format, live captioning or using a sign language interpreter, or using specialized equipment.

We are committed to a transparent and secure hiring process. All communications related to this role will come directly from a CLEAR employee through valid CLEAR channels (e.g., a valid @clearme.com email address or verified CLEAR LinkedIn profile). We encourage candidates to remain alert to job scams and to report any suspicious activity.

#LI-Onsite

The mission of our Solution Engineering team at Gong is to serve as trusted partners, advising on complex workflows and guiding customers toward an AI-first approach to their go-to-market strategy, ultimately helping them achieve their desired business outcomes.

As a Lead Solution Engineer on the team, you will be instrumental in creating raving fans among our prospects and customers. Your focus will be on helping them understand how our platform can drive their strategic business initiatives across the organization. 

RESPONSIBILITIES

• Work alongside Sales and Customer Success as the ultimate product expert and account team technical advisor.
• Thoroughly understand all aspects of the Gong platform in order to explain and demo the technology to all types of users.
• Be the trusted advisor to both prospects and customers to ensure they get the correct business outcome and value from our Gong technology, including business value quantification.
• Assist prospects and customers with business assessments (POCs, Pilots).
• Craft content to show customers how to leverage Gong for specific use cases.
• Execute the build and delivery of outcome-based demos and solution architecture diagrams for customers that have highly complex use cases.
• Solution complex business and technical requirements and explain them in simple terms.
• Assist with RFPs and questionnaires in the context of sales cycles.
• Help eliminate bottlenecks by working cross-functionally (Sales, Customer Success, Support, Product Management, Engineering) in order to get deals across the line.
• Partner with and support Marketing on demand gen activities (webinars, conferences, events).
• Contribute reusable assets to the Sales Engineering team and the company at-large.
• Collaborate closely with Product Marketing, Product Management, and Engineering to share voice of the customer feedback in order to influence our product roadmap and GTM strategies.

QUALIFICATIONS 

• 8+ years of customer facing experience in a solution engineering role (pre-sales) or a combination of solution engineering and other relevant work experience.
• Experience with sales technology: CRMs, cloud architecture, or telephony / web conference systems.
• Experience with data flows, AI & ML concepts, analytics, APIs, webhooks, or JSON is a plus.
• Understanding of security and privacy pertaining to SaaS systems.
• Understanding of key sales personas and workflows (including forecasting and prospecting) within a GTM organization.
• Excellent verbal and written communication skills.
• Strong interpersonal and teamwork skills.
• Able to make the complex sound simple!

PERKS & BENEFITS 

• We offer Gongsters a variety of medical, dental, and vision plans, designed to fit you and your family’s needs.
• Wellbeing Fund - flexible wellness stipend to support a healthy lifestyle.
• Mental Health benefits with covered therapy and coaching.
• 401(k) program to help you invest in your future.
• Education & learning stipend for personal growth and development.
• Flexible vacation time to promote a healthy work-life blend.
• Paid parental leave to support you and your family.
• Company-wide recharge days each quarter.
• Work from home stipend to help you succeed in a remote environment.

The target OTE for these positions is $205,000-$220,000.

Compensation is based on factors unique to each candidate, including, but not limited to, job-related skills, qualification, education, experience, and location. At Gong, we have a location-based compensation structure, which means there may be a different range for candidates in other locations. The total compensation package for this position, in addition to base compensation, may include incentive compensation, bonus, equity, and benefits. Some of our sales compensation programs also offer the potential to achieve above targeted earnings for those who exceed their sales targets. 

We are always looking for outstanding Gongsters! So if this sounds like something that interests you regardless of compensation, please reach out. We may have more roles for you to consider and would love to connect.

We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Gong recruiting email communications will always come from the @gong.io domain. Any outreach claiming to be from Gong via other sources should be ignored.

Gong is an equal-opportunity employer. We believe that diversity is integral to our success, and do not discriminate based on race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, military status, genetic information, or any other basis protected by applicable law.

To review Gong's privacy policy, visit https://www.gong.io/gong-io-job-candidates-privacy-notice/ for more details.

Have you ever had that green-light feeling? When you hit every green light and the day just feels like magic. CLEAR's mission is to create frictionless experiences where every day has that feeling. With more than 30+ million passionate members and hundreds of partners around the world, CLEAR’s identity platform is transforming the way people live, work, and travel. Whether it’s at the airport, stadium, or right on your phone, CLEAR connects you to the things that make you, you - unlocking easier, more secure, and more seamless experiences - making them all feel like magic.

The Enterprise Account Executive will drive C1’s growth by identifying, structuring, and closing strategic deals with large enterprise organizations. This role will expand CLEAR’s networked identity platform across industries by building high-impact relationships and delivering scalable, revenue-generating deals.

What you'll do:

• Drive enterprise growth by sourcing, developing, and closing strategic partnerships across key industries
• Own the full deal lifecycle from prospecting through negotiation, contracting, and launch
• Build and manage a robust enterprise pipeline, leveraging outbound efforts, industry relationships, and market insights
• Partner cross-functionally with Product, Legal, Security, and Partner Success to align solutions with partner needs and CLEAR capabilities
• Represent CLEAR externally through executive meetings, industry events, and thought leadership to strengthen market presence

How you'll measure success:

• Total contract value (TCV), annual contract value (ACV), and revenue generated from enterprise partnerships
• Pipeline growth, conversion rates, and deal velocity across enterprise opportunities
• Number of new enterprise logos and expansion within existing partners
• Successful launch and activation of enterprise partnerships

What you're great at:

• 8+ years of experience in enterprise business development, partnerships, or B2B sales within SaaS, identity, fintech, or enterprise technology
• Proven track record of sourcing, negotiating, and closing complex, high-value enterprise deals
• Strong executive presence with the ability to influence C-suite stakeholders and build long-term relationships
•  Exceptional negotiation and deal structuring skills, with deep understanding of enterprise contract dynamics
• Strategic thinker who can navigate ambiguity, prioritize opportunities, and execute with urgency

How You'll be Rewarded:

At CLEAR, we help YOU move forward - because when you’re at your best, we’re at our best. You’ll work with talented team members motivated by our mission of making experiences safer and easier. Our offices are bright and energetic with an open concept and plenty of conference rooms and casual co-working spaces. We also offer catered lunches every day and have fully stocked kitchens. Outside of the office, we invest in your well-being and learning & development with stipends and reimbursement programs. 

We offer holistic total rewards, including comprehensive healthcare plans, family-building benefits (fertility and adoption/surrogacy support), flexible time off, annual wellness stipend, free OneMedical memberships for you and your dependents, a CLEAR Plus membership, and a 401(k) retirement plan with employer match. The on-target compensation range for this role is $150,000 - $350,000, depending on levels of skills and experience. This range includes our competitive commission potential, subject to the terms of the applicable commission plan at any given time.

The on target earning range represents the low and high end of CLEAR’s range for this position. OTE will vary depending on various factors which include, but are not limited to location, education, skills, experience and performance. The range listed is just one component of CLEAR’s total compensation package for employees and other rewards may include annual bonuses, commission, Restricted Stock Units

CLEAR provides reasonable accommodation to qualified individuals with disabilities or protected needs. Please let us know if you require a reasonable accommodation to apply for a job or perform your job. Examples of reasonable accommodation include, but are not limited to, time off, extra breaks, making a change to the application process or work procedures, policy exceptions, providing documents in an alternative format, live captioning or using a sign language interpreter, or using specialized equipment.

We are committed to a transparent and secure hiring process. All communications related to this role will come directly from a CLEAR employee through valid CLEAR channels (e.g., a valid @clearme.com email address or verified CLEAR LinkedIn profile). We encourage candidates to remain alert to job scams and to report any suspicious activity.

#LI-Onsite

About this role

As a Staff Machine Learning Platform Engineer, you will help design, improve, and operate a scalable ML platform to accelerate model training, deployment, and governance. You are the technical bridge between data science and production engineering.  You’ll be joining a small but deeply critical team that scales Faire’s ability to support tens of thousands of local businesses in a constantly narrowing retail landscape.

What You Will Do

• Design and operate ML infrastructure, including workspaces, clusters, jobs, and workflows
• Productionize ML workloads using Spark, Delta Lake, MLflow, and Databricks Workflows
• Teach data scientists how to utilize our ML platform to advance development from notebook to production for our most critical models
• Implement Unity Catalog for data governance, lineage, access control, and secure multi-tenant usage
• Build CI/CD pipelines for ML using Terraform and Git-based workflows (e.g., GitHub Actions)
• Optimize performance, reliability, and cost across training and inference workloads
• Configure Identity and Access Management (IAM) and Role Based Authentication Controls (RBAC) for sensitive data sets
• Establish observability for data quality, model performance, and platform health
• Build and maintain ML Platform technical documentation

What it takes

• 8+ years of experience building production ML or data platforms
• A degree (preferably graduate level) in Computer Science, Engineering, Statistics, or a related technical field
• Strong hands-on expertise with Databricks, Spark, Delta Lake, and MLflow.
• Proficiency in Python, SQL, and distributed systems concepts
• Experience with cloud platforms and infrastructure-as-code
• Solid understanding of MLOps best practices: CI/CD, monitoring, reproducibility, and security
• Experience supporting multiple ML teams in a shared platform environment
• Are an active owner of orphaned problems and are willing to assimilate whatever knowledge you’re missing to get the job done

Tech Stack

Faire uses a modern cloud based tech stack.  For this role, you’ll want to be proficient with the following:

Salary Range

Canada: the pay range for this role is $216,000 to $297,000 per year. 

This role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change and may be modified in the future.

Faire uses Artificial Intelligence (AI) to screen and select applicants for this position.

This job posting is for an existing vacancy.

Asana's Data Science team helps us fulfill our mission by informing strategy, defining success metrics, and identifying new ways to deliver user value. Data scientists are at the crux of deepening our understanding of the customers and driving more business outcomes by leveraging experimentation, causal inference, statistical and machine learning techniques, and data storytelling. As a Data Science Manager, you’ll lead a team of data scientists working across several product teams to drive common goals, such as acquiring new customers. You will partner closely with product, engineering, and design leads to set the strategy and direction for the overall team while mentoring your reports in their technical growth.

This role is based in our San Francisco office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements.

What you’ll achieve

• Manage and lead a team of data scientists partnering with Asana’s product teams.
• Partner closely with Product Management, Design, and Engineering leaders to drive high-level strategy.
• Implement team practices that empower cross-functional partners to make data-informed decisions, striking a balance between rigorous quantitative methods and speed.
• Guide data scientists in their technical and professional development through active mentorship.
• Collaborate with recruiting and other data team managers to help grow and scale the organization.
• Make hands-on contributions to the team’s work, including designing experiments, building ML models, and answering key questions with data.

About you

• You have over 5 years of experience in a comparable data science role, with a proven track record of delivering high-impact insights.
• You bring at least 2 years of experience specifically managing a team of data scientists within a product-focused environment.
• You are skilled at working closely with Product, Engineering, and Design leadership to guide product strategy and drive organizational decision-making.
• You have an extensive track record in data-informed decision making, including defining success metrics, conducting observational inference, and leveraging experimentation to inform direction.
• You possess a strong technical background in a quantitative field and are fluent in modern languages for statistics or data processing (e.g., Python, R).
• You are comfortable with ambiguity and enjoy the challenge of balancing rigorous statistical practice with the speed of results.
• Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making.
• Experience with Enterprise SaaS products is a strong plus.

At Asana, we're committed to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission. If you're interested in this role and don't meet every listed requirement, we still encourage you to apply.

What we’ll offer

Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit.

For this role, the estimated base salary range is between $258,000 - $293,000. The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified.

In addition to base salary, your compensation package may include additional components such as equity and benefits. We strive to provide equitable and competitive benefits packages that support our employees worldwide and include:

• Mental health, wellness & fitness benefits
• Career coaching & support
• Inclusive family building benefits
• Long-term savings or retirement plans
• In-office culinary options to cater to your dietary preferences

These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations. If you're interviewing for this role, speak with your recruiter to learn more about the total compensation and benefits for this role.

#LI-Hybrid #LI-SA

About the role

We are seeking a Staff Software Engineer to build and operate the safety, oversight, and intervention mechanisms that protect Claude on third-party cloud service provider (CSP) platforms. As the engineer responsible for Safeguards on those surfaces, you will ensure that every request served through our CSP partners is monitored for misuse, enforced against policy, and compliant with the data residency and privacy commitments that enterprise CSP customers expect.

You will sit at the seam between the Safeguards organization and the Cloud Inference team: taking classifiers, detection signals, and enforcement policies developed by Safeguards and making them run reliably inside a CSP partner’s infrastructure at serving-path latency and scale. You will own the architecture that lets our safeguards operate within those constraints without gaps. You will build, deploy and operate the multi-layered defenses that catch unwanted model behavior in real time, the telemetry pipelines that give us situational awareness over CSP traffic, and the enforcement hooks that let us act quickly when something goes wrong. Your work will directly determine whether Anthropic can ship frontier models on CSP platforms at the same safety bar we hold ourselves to on our first-party API.

Responsibilities:

• Build, deploy and operate real-time safeguards infrastructure—classifiers, rate limits, enforcement actions, and intervention hooks—embedded directly in the third-party CSP inference serving path
• Design and maintain the data residency and privacy architecture for safeguards signals on CSP platforms, ensuring we can detect abuse and monitor model behavior while honoring regionalization boundaries and enterprise contractual commitments
• Develop telemetry, logging, and evaluation pipelines that give Safeguards, Policy, and T&S operational teams situational awareness over CSP traffic and close the visibility gap between third-party and first-party serving
• Dive into the CSP serving stack to identify the lowest-impact points to gather signals or introduce interventions without degrading latency, stability, or overall architecture
• Hold a high operational bar: own on-call, drive root-cause analyses and postmortems for safeguards incidents on CSP platforms, and build systems that reduce the human intervention required to keep Claude safe
• Work closely with Safeguards research, Policy & Enforcement, the Cloud Inference team, and CSP partner contacts to turn detection research and policy decisions into production enforcement that works inside a partner’s cloud.

You may be a good fit if you:

• Have a Bachelor’s degree in Computer Science, Software Engineering, or comparable experience
• Have 7+ years of experience in high-scale, high-reliability software development, ideally with exposure to trust & safety, anti-abuse, fraud, or integrity systems
• Are proficient in Python and comfortable working across the stack—from request-path services to data pipelines to internal tooling
• Think adversarially: you can see a system from a bad actor’s perspective, anticipate how they will respond to countermeasures, and design defenses in depth rather than single points of enforcement
• Have experience scaling infrastructure to accommodate rapid traffic growth while keeping latency and reliability within tight budgets
• Are deeply interested in the potential transformative effects of advanced AI systems and are committed to ensuring their safe development
• Have strong communication skills and can explain complex technical and risk tradeoffs to non-technical stakeholders across Policy, Legal, and partner organizations
• Enjoy working in a fast-paced, early environment; comfortable with adapting priorities as driven by the rapidly evolving AI space

Strong candidates may also have experience with:

• Building trust and safety, anti-spam, fraud, or abuse detection and mitigation mechanisms for AI/ML systems, or the infrastructure to support these systems at scale
• Machine learning serving infrastructure (GPUs/TPUs, inference servers, load balancing) and the operational realities of running models in production
• Major cloud platform internals—IAM, Network/service perimeter controls, regional resource constraints, cloud-native logging/monitoring—or experience shipping software that runs inside a partner’s cloud rather than your own
• Data residency, privacy engineering, or compliance-constrained architectures, particularly where telemetry has to stay within regional or contractual boundaries
• Working closely with operational and human-review teams to build custom internal tooling, admin UX, and alerting
• Adversarial mindset: has shipped defenses against motivated attackers before, knows what it feels like when they adapt, and can sprint to close a gap before it becomes an incident
• Comfortable operating at the intersection of platform/infra engineering and trust & safety—neither a pure infra engineer nor a pure T&S engineer, but someone who can credibly do both
• Has shipped software that runs inside someone else’s infrastructure (partner cloud, embedded deployment, or similar) and knows how to get things done when you don’t control the whole stack
• Senior enough to own a cross-team seam independently, drive consensus across orgs, and make latency/safety tradeoff calls without escalation
• TypeScript or Rust, and agentic coding tools such as Claude Code

As a Customer Success Manager in our Retail team you will be part of a team managing some of the world’s biggest and most recognizable brands.

WHAT YOU'LL DO

• Partner with Account Executives to ensure commercial alignment & drive client renewals, retention & net retention targets for your customers
• Be your customers’ main point of contact and trusted advisor at Braze
• Drive feature adoption by building a shared Success Plan with your customers, providing strategic guidance, enablement, and day-to-day advice to help them hit their objectives with Braze
• Drive customer advocacy by building strong customer relationships and creating mutual value for your customers and Braze
• Proactively analyze your customer product usage to identify opportunities and risks to account health  
• Maintain ongoing regular contact with your customers via ad-hoc communications, regular check-ins, events, and Executive Business Reviews.
• Advocate for your customers, soliciting and synthesizing customer product feedback to contribute to product development
• Provide continuing education for customers to maximize product usage, identifying new or unused Braze features that could provide value for your customer and represent an upsell opportunity for Braze.
• In addition to being a dedicated contact for strategy, product training inquiries, and non-technical support, you will coordinate with other Braze teams including Technical Support, Industry Solutions, and Deliverability Services to ensure your customers receive the support they need simply and seamlessly
• Work with Onboarding Managers and other Customer Success Partners to seamlessly transition clients from onboarding to ongoing activity.
• You will likely spend time onsite with customers and may travel [internationally]

Please note this job description cannot possibly cover every duty you may need to undertake, you may be asked by your line manager to handle other reasonable responsibilities commensurate with the role.  

WHO YOU ARE

You are passionate about customer success and find satisfaction in helping your customers achieve great things.  You have a proven track record in customer success and are seeking to progress your career, with one of the industry’s most advanced customer success teams, by working with established, household-name, enterprise customers with over 1,000 employees.

• You are an excellent communicator with exemplary written and verbal communication skills coupled with unparalleled follow up skills. Clients and colleagues have the impression that you listen and understand the strategic problems they are trying to solve
• You’re excited by working with medium and large technology companies who move fast, and want to build new customer experiences quickly
• You’re known for being a “team player.” We just can’t emphasize this enough
• You build great relationships with colleagues and customers
• You have a high level of intellectual curiosity. You see opportunity and growth in learning more about what you do and how it impacts others
• You have experience successfully managing complex accounts or projects with sophisticated clients, multiple stakeholders, and competing priorities
• You have excellent time management skills
• You have domain knowledge of two or more of the following:  SaaS, Mobile, APIs, Marketing Automation, Direct Marketing, Marketing Analytics or Programming (HTML etc
• 2-5 years relevant experience in a related area, for example Onboarding, Customer Success, Implementations or Project Management

For candidates based in the United States, the pay range for this position at the start of employment is expected to be between $94,620 - $102,000/year, with an expected On Target Earnings (OTE) between $114,275 - $120,000/year (including bonus or commission). Your exact offer may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. In addition to cash compensation, Braze offers full and part-time employees a comprehensive Total Rewards package that includes equity grants of restricted stock (RSUs) so that all Braze employees own a piece of our company.

Our Internal Data team powers decisions and applications across MongoDB, supporting teams in Go-to-Market (GTM), Product and Technology, Finance, and HR. As MongoDB scales, we are making a significant investment in becoming a truly Data-Driven Enterprise — one built on trusted, governed golden data assets, world-class self-serve capabilities, and AI-ready data infrastructure. This is a rare opportunity to lead a high-visibility, company-defining initiative that will transform how MongoDB teams access, trust, and act on data.

This role can be based in one of our major U.S. offices (New York City, Austin, Palo Alto, or San Francisco) under our hybrid working model, or remotely within the United States.

As Senior Director of Data Product Management, you will own the vision, strategy, and execution of MongoDB's internal data product portfolio, with an initial focus on Go-to-Market (GTM) functions including Sales, Marketing, and Customer Success. You will lead and grow a team of four Product Managers, partnering deeply with Data Pipeline, Platform Engineering, Data Architecture, and Data Governance teams to deliver the data products MongoDB teams rely on every day. These products span data pipelines, canonical datasets, dashboards, APIs, ML models, and self-serve frameworks that power analytics, AI, and business decision-making at scale.

This role is ideal for a seasoned data product leader who brings both strategic vision and operational depth — someone who can engage credibly with C-suite stakeholders, inspire a high-performing team, and drive a complex, multi-workstream enterprise initiative from vision to measurable impact.

Responsibilities

• Own and communicate a compelling, multi-year product vision and strategy for MongoDB's internal data products, anchored in the goal of building a Data-Driven Enterprise with trusted golden data and strong self-serve capabilities
• Serve as a thought partner and key point of contact for C-suite and executive stakeholders, translating enterprise data strategy into a clear, prioritized product roadmap
• Lead, mentor, and grow a team of Product Managers, fostering a high-performance culture of ownership, curiosity, and impact
• Champion the development of canonical, single-source-of-truth golden data assets that serve as the single source of truth for Customer, Product, People and Finance data, breaking down siloes and cultivating a common language across metrics business-wide
• Drive the build-out of self-serve data capabilities that empower business users to access, explore, and act on trusted data with minimal friction
• Partner with leadership across the company to identify and prioritize the highest-value opportunities where data products can improve decision-making, automate workflows, and accelerate growth
• Work across Data Engineering, Architecture, Platform, and Governance teams within IT as well as our key partners in Analytics & Data Science to ensure data products are scalable, reliable, and aligned with enterprise data standards
• Define and own success metrics for the data product portfolio, using data to demonstrate business impact and continuously raise the bar
• Establish and evolve product development practices across the team, including roadmap planning, backlog management, agile delivery, and cross-functional coordination
• Drive organization-wide adoption of data products through effective storytelling, clear documentation, enablement programs, and change management

Requirements

• 10+ years of product management experience, with at least 3–5 years in a senior leadership role managing product managers and delivering data products or data platforms at scale
• Demonstrated experience leading large, strategic, enterprise-wide data democratization initiatives with executive visibility and cross-functional complexity
• Deep understanding of modern data ecosystems, including data pipelines, lakehouse and medallion architectures, analytics platforms, and data governance frameworks
• Exceptional communication and executive presence, with the ability to translate complex technical strategies into compelling narratives for C-suite audiences
• Proven ability to define and execute a vision for trusted, governed data assets and scalable self-serve data capabilities
• Experience building and scaling self-serve analytics and data enablement programs
• Experience partnering with and influencing partner organizations across the company at the leadership level
• Strong people leadership skills, with a track record of developing and retaining high-performing product talent
• Ability to operate effectively in fast-paced, ambiguous environments, balancing long-term strategic thinking with near-term execution

Nice to Have

• Background in analytics, data science, or data engineering
• Familiarity with metadata management, data discoverability, or data catalog tooling
• Exposure to AI/ML product development in the context of enterprise data platforms

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: 1273386452

CircleCI Associate Rotation Program (CARP) — Cohort 2

Ship Smarter. Build Faster. Join the team that makes AI-written code actually work.

AI is writing code. A lot of it. But generating code and shipping reliable software are two very different things, and that gap is exactly where CircleCI lives. We're the CI/CD backbone that ensures AI-generated code gets tested, validated, and deployed safely at scale. If you want to build critical infrastructure at the intersection of AI and DevOps, you've found your people.

What is CARP?

The CircleCI Associate Rotation Program is a 12-month, 2-rotation deep-dive into engineering at a company where AI isn't a buzzword…it's the job! You'll rotate through real teams, own real work, and build real things that engineers at companies like yours use every single day. No coffee runs. No shadowing. Actual building.

You’re not just a builder, you’re an advocate. The future of work includes not just the ability to build alongside AI, but speak to the future among your peers and customers. Your work doesn’t end with your deliverable, it continues with your own feature, data, or product communication and advocacy!

12 months · 2 rotations · 1 career-defining move

Real Work. Real Impact.

Don't take our word for it — here's what Cohort 1 actually shipped:

• GTM & Customer Success: Built an AI enablement framework adopted by our Customer Success org, led cross-functional data alignment sessions at GTM events, and contributed directly to the FY26 account accuracy used by the Sales team.
• Product Engineering: Shipped a customer-facing credit comparison tool — available to users across all plans — that surfaces spending trends across billing periods. Real customers, real usage, from day one.
• Platform Engineering: Defined how CircleCI natively manages iOS code signing certificates, partnering across Engineering, Design, and Product to scope and deliver a foundational capability for mobile CI customers.
• Data & ML Engineering: Built a more reliable AI/ML signal flag that's now driving smarter customer engagement decisions and informing product roadmap prioritization across the org.
• Product Engineering: Shipped production features end-to-end — from implementing nav bar updates to building an entirely new CLI tool (Chunk CLI) that customers use in their workflows today.
• Revenue & Sales Ops: Analyzed historical lost deal data and built an AI-powered pipeline hygiene report that helps sales reps prioritize the deals most likely to convert — from raw data to a tool the Revenue team relies on.

You're the one if...

• You think of AI as a collaborator, not a threat
• You thrive in ambiguity and you see an unclear problem and think "ooh, interesting" not "I'll wait for instructions"
• You move fast, iterate faster, and ask for forgiveness over permission
• You have strong opinions, loosely held and you can defend your ideas in a room full of sharp engineers
• You're a recent grad ready to define what software development looks like in the AI era
• You genuinely love building things and want to see your work used in production, not a slide deck

The Engineering Track

This cohort is built for engineers. You'll rotate across our core technical teams, the folks keeping millions of builds humming and building the AI-native features that are changing how developers work. Here's what your rotation menu looks like:

🏗 Platform Engineering The foundation everything else runs on. You'll work on the systems that handle millions of AI-generated commits at a scale most engineers never get to touch.

• Design and build infrastructure that validates AI-written code at machine speed
• Work on intelligent resource allocation that adapts dynamically to AI workload patterns
• Help make sub-second response times the norm, not the goal
• Debug problems that literally no textbook covers yet

⚙️ Product Engineering Where the user-facing magic gets made. You'll build features that developers interact with every day, powered by AI, designed for speed.

• Build AI-powered features that predict build failures before they blow up
• Create natural language interfaces so developers can configure pipelines through conversation
• Ship seamless integrations with AI coding assistants like Cursor, Copilot, and Claude
• Turn vague product ideas into shipped code fast

📊 Data & ML Engineering Billions of build events. Real-time. You'll build the data systems that surface the insights our customers and product teams can't live without.

• Build pipelines processing billions of AI-generated build events in real time
• Develop ML models that identify patterns in how AI agents write, test, and break code
• Create analytics products that help customers understand their AI-augmented dev velocity
• Turn raw signal into decisions that actually move the needle

We Take AI Fluency Seriously

Not "have you used ChatGPT" seriously. We're talking about engineers who understand AI as a development paradigm, not just a productivity shortcut. Here's what being AI-fluent looks like at CircleCI:

• Use AI tools natively in your workflow — You prompt, iterate, and ship with AI assistance as a default, not an afterthought
• Understand the limitations — You know when AI-generated code needs extra scrutiny and why that matters at scale
• Think about AI as a system actor — You can reason about autonomous agents interacting with DevOps infrastructure
• Stay curious about what's next — The AI landscape changes weekly — you're keeping up, not catching up

What You Get

The Money & Gear

• $105,000 salary
• MacBook Pro + full tech stack access
• Latest AI tool subscriptions, including Cursor, Claude, and whatever comes out next that's worth it
• Health, dental, vision, unlimited PTO, wellness perks

The Growth

• Production AI/ML systems experience (not toy projects, real scale)
• Mentorship from engineers who've been building in this space before it was cool
• A network inside the AI + DevOps ecosystem that will follow you everywhere
• A genuine shot at a full-time role after your rotations wrap up

FAQs

Can I extend my rotation? Yes! During your second rotation, we'll explore whether additional 6-month rotation opportunities make sense for you and the team.

Is there a path to full-time? Absolutely. Based on your contributions and growth, we actively discuss full-time indefinite placement. We want to keep people who want to stay.

Do I have to be in San Francisco? Yes — this is an in-person role. You'll be in our SF headquarters at least Tuesday, Wednesday, and Thursday each week. We believe in the energy of working alongside your team, especially early in your career.

Ready?

By 2030, most code will be AI-generated. The question is who ensures it actually works. That's us. Come build it with us.

Program Dates: August 3, 2026 - July 30, 2027 

Location: San Francisco, CA (in-person; AI still needs humans nearby) 

Application Deadline: June 30, 2026

About the Role

We are seeking a GRC Automation Lead to join our GRC organization and build the technical foundation for how we scale our risk and compliance programs. In this role, you will lead the team that designs and implements automated workflows, data pipelines, and integrations that transform manual compliance processes into scalable engineering systems. 

This is a greenfield opportunity to establish the team, architecture, and integrations that will define how we approach governance, risk, and compliance at Anthropic. The core challenge is a data problem: compliance information lives across dozens of systems—cloud infrastructure, identity providers, HR platforms, ticketing tools, code repositories—and your job is to design systems that bring it together, normalize it, and make it actionable. Success in this role comes from understanding how systems connect and how data flows between them, not from writing code yourself.

At Anthropic, you'll also have a unique advantage: the ability to design AI-powered workflows where Claude acts as an extension of your team, handling tasks that would traditionally require additional headcount or manual effort. You'll need ingenuity to identify where agentic AI can accelerate evidence collection, interpret unstructured data, triage compliance gaps, and augment human judgment in risk assessments. Working closely with Security, IT, and Engineering teams, you'll translate compliance and regulatory requirements into solutions that support audit programs including SOC 2, ISO, HIPAA, and FedRAMP, building systems that combine traditional automation with AI capabilities to achieve scale that wouldn't otherwise be possible.

Responsibilities: 

• Lead the team that establishes foundational GRC processes and architecture. Design and build automated workflows for risk management and compliance, creating scalable systems that enable continuous monitoring as Anthropic grows.
• Build data pipelines that aggregate risk, control, and asset information from across our technology stack. This means solving hard data integration problems: mapping disparate schemas, handling inconsistent data quality, and creating unified views of compliance posture through dashboards and reporting tools.
• Inform GRC platform strategy and implementation: in partnership with other programs, evaluate, select, and deploy tooling that meets our compliance requirements.
• Translate written policies and compliance requirements into policy-as-code—working with Engineering and Security teams to express requirements as enforceable rules, automated checks, and continuous validation rather than static documents.
• Establish feedback loops between policy and implementation: surface where technical controls diverge from written requirements, identify where policies need to evolve based on infrastructure realities, and ensure that compliance requirements are expressed in terms engineers can act on.
• Design and deploy agentic AI workflows that extend team capacity, using Claude to serve as a virtual GRC analyst to automate evidence analysis, monitor control effectiveness, draft audit responses, interpret policy documents, and handle other tasks that require reasoning over unstructured information.
• Design and maintain integrations connecting GRC tooling with cloud infrastructure, identity management systems, HRIS platforms, ticketing systems, version control, and CI/CD pipelines—working with engineers to implement integrations that enable automated evidence collection and continuous compliance validation.
• Build and lead an AI-forward GRC engineering function as we scale: hiring team members, establishing practices, and defining the technical roadmap for governance and compliance automation at Anthropic.

You may be a good fit if you:

• Have 12+ years of total experience and 3-4+ years of experience managing technical individual contributors or systems-focused teams, with a proven track record of building or scaling small teams (2-5 people) in security, compliance, automation, or operations functions.
• Are a systems thinker first. You understand how complex environments work: how data flows between systems, where integration points exist, what breaks when systems don't talk to each other. Your strength is designing the right architecture and environment for security monitoring, not necessarily implementing it yourself.
• Have 5+ years of experience designing automated workflows, data pipelines, or system integrations, whether through traditional development, low-code platforms, GRC tools, or process automation. We care about your ability to solve integration problems more than your programming language proficiency.
• Have a relentless focus on data integration: you understand how to pull data from multiple sources, normalize it, join it meaningfully, and surface insights. You're comfortable reasoning about messy, inconsistent data and designing systems that handle edge cases gracefully.
• Understand APIs and integration patterns: REST APIs, webhooks, authentication flows, polling vs. push architectures, and can evaluate systems based on how well they expose data and support automation.
• Can work independently with minimal guidance, taking ownership of complex problems from design through implementation while managing ambiguity inherent in early-stage programs.
• Have strong analytical and problem-solving skills with attention to detail necessary for compliance work, balanced with pragmatism about risk-based prioritization in fast-paced environments.

Strong candidates may have:

• Experience designing or implementing AI-powered automation, agentic workflows, or LLM-based tooling in operational contexts.
• Experience with GRC platforms such as ServiceNow GRC, Vanta, Drata, OneTrust, RSA Archer, or similar tools including configuration, customization, and integration capabilities
• Familiarity with scripting languages (Python or similar) for automation tasks, API interactions, and data transformation.
• Prior experience in high-growth startup environments demonstrating ability to build scalable processes and adapt quickly to changing requirements and priorities
• Familiarity with Infrastructure as Code tools (Terraform, CloudFormation, Ansible) and DevSecOps practices including CI/CD pipeline integration and policy-as-code implementations.
• Familiarity with cloud platforms (AWS, GCP, Azure) and an understanding of how compliance-relevant data can be extracted from their APIs and logging systems.

Deadline to apply: None, applications will be received on a rolling basis.

Field Onboarding Manager

LOCATION: San Francisco onsite 2 days per week.

ABOUT THE POSITION & TEAM

At Okta, the Global Sales Onboarding Team plays a mission-critical role in accelerating new hire ramp time and providing ongoing enablement support, equipping sellers with the skills, knowledge, and confidence to perform at their best in a highly technical environment. 

Our approach to sales enablement is a holistic experience that includes self-guided learning, virtual instructor-led trainings, certifications, in-person learning, and immersive experiences. 

The Field Onboarding Manager, will wear many hats including: strategy, facilitation, content development, coordination, stakeholder management, and measurement of impact. This person will primarily serve our AMER based field audience to drive GTM readiness, through experiences that delight. This person will partner directly with the Enablement Business Partner and sales leaders to identify the needs of the business to best serve our new hires. We’ll teach you the tech; you teach our sellers how to win!

Key Responsibilities:

• Strategic Liaison: Identify ways to drive impact and up level or existing programing, while maintaining tight feedback loops with sales leaders. 
• Program Lead: Manage the end-to-end delivery of the AMER sales onboarding experience.
• Facilitation & Coaching: Conduct high-impact sessions (virtual and in-person) that engage learners, create a safe space for learning, and achieve learning objectives.
• Coordination: Not afraid of a spreadsheet, and super detail oriented to ensure events and complex programs run smoothly.
• Stakeholder Management: Aligns with stakeholders on a predictable ongoing basis to ensure tight feedback loops with sales executives and leaders, and to adjust learning interventions as needed.
• Measurement of Impact: Uses data driven decision making to influence strategy. 
• Cultivate a High-Energy First Impression: Serve as an ambassador for the Okta sales culture, ensuring every new hire feels welcomed, valued, and energized from Day 1.
• Multi-Track Program Support: Demonstrate the agility to support onboarding work streams outside of the core Sales segment.

Experience & Success Characteristics

• Product Knowledge Pro: Deep understanding of complex technical products (or an aptitude to learn quickly).
• Field Enablement Experience: Experience scaling onboarding programs in high-growth environments; practical sales or quota-carrying experience is preferred.
• Operational Guru: Proven ability to manage large-scale programs and logistics while juggling competing priorities.
• Exceptional Facilitator: Comfortable commanding a room to drive behavior change.
• Continuous Improver: Data-driven mindset focused on speeding up productivity.
• Tech-forward mindset: Proficiency in Google Workspace and Slack for seamless team collaboration, and experience leveraging Sales Enablement Platforms 
• Meticulous attention to detail: Proven ability to manage complex project logistics, ensuring high-quality, error-free delivery of onboarding materials and training schedules in a fast-paced environment.
• Highly adaptable with a 'builder' mentality: Comfortable navigating ambiguous environments to create structure, refine processes, and solve problems proactively as business needs evolve.
• Exceptional verbal and written communication skills: Ability to distill complex technical concepts into simple, actionable training and the presence to influence stakeholders at all levels of the organization.
• Team Player: Willing to pick up the slack for teammates when needed, and willing to show up in a collaborative manner.

Requirements

• 3+ years of experience in enablement, onboarding, or SaaS sales.
• Strong knowledge of CIAM and security landscapes, or strong aptitude for learning.
• Bachelor’s degree or equivalent practical experience as a requirement.
• Willingness to travel 10–15% as business needs require.

Okta's Core Leadership Competencies

Managers at Okta are expected to embody the following:

• Builds Effective Teams: Leveraging diverse skills to achieve common goals.
• Demonstrates Self-Awareness (EQ): Using feedback to gain insight into strengths and weaknesses.
• Develops Talent: Supporting career goals alongside organizational needs.
• Drives Results: Consistently achieving outcomes under tough circumstances.
• Strategic Mindset: Translating future possibilities into breakthrough strategies.

#LI-onsite

P19959

About GlossGenius

GlossGenius is building an ecosystem enabling entrepreneurs to succeed.  We empower small business owners to focus on being creators, not admins, by offering a range of business management tools including booking and scheduling, marketing, analytics, payment processing and much more. 

Over 100,000 small business owners have chosen to rely on GlossGenius every day to run their entire set of business operations. Joining its powerful, intuitive platform with its vibrant, distinguished brand, GlossGenius is the ideal combination of a fintech, SMB software, and consumer company all in one.

About the Role

As we continue to scale, we’re strengthening our Data Engineering team. The primary focus of this role is to reimagine the data infrastructure to support our AI platform. This transformation will be critical to the success of our future products, and vital in delivering value to our 100,000+ business owners

You must be commutable to our NYC or SF headquarters. We default to being in-office 3-4 days per week with required attendance on Tuesdays and Thursdays.

What You’ll Do:

As an Software Engineer, Data Platform, you'll be both a hands-on technical expert and a strategic leader. You'll drive the design of core data models and pipelines in our Snowflake and Clickhouse lakehouse, setting the standards for quality, reliability, and scalability across the platform.

You'll own end-to-end solutions—from architecture and implementation to operations and optimization—while helping guide the long-term direction of GlossGenius' data ecosystem. You'll collaborate across teams to turn complex business problems into robust data solutions, mentor engineers to help them grow and deliver at a higher level, and help the team evolve toward a fully governed lakehouse with fine-grained access controls and consistent lineage.

• Design and implement core data models and pipelines that power analytics, ML, and product experiences
• Implement modern data lake orchestration patterns, including medallion architectures
• Architect and evolve a scalable, cost-efficient, and reliable lakehouse foundation using Snowflake, Clickhouse, and orchestration tools
• Define best practices and technical standards that improve data quality, governance, and performance across teams
• Mentor engineers and foster a culture of ownership, operational excellence, and continuous learning
• Shape the long-term technical vision and roadmap for GlossGenius' data platform

What We’re Looking For

• 5+ years of experience in data engineering, with a strong background in data architecture, data modeling, and distributed data systems
• Deep expertise in modern lakehouse technologies such as Snowflake and Clickhouse
• Experience implementing modern data orchestration patterns for big data use-cases, including batch and streaming workloads
• Advanced proficiency in SQL and Python or Scala, including performance optimization and large-scale ETL design
• Familiarity with AI/ML workflows and the data infrastructure that supports them, you understand what it takes to move data from raw ingestion to model-ready, and ideally have experience building pipelines that feed or serve ML models in production
• Demonstrated ability to lead technical initiatives, set standards, and influence decisions across teams
• Comfort owning systems end-to-end, including monitoring, reliability, and cost management
• Excellent communication skills with the ability to translate technical trade-offs to both engineers and non-technical stakeholders

The Team + The Role

Pendo’s Customer Engineering team is the technical backbone of the pre- and post-sales customer motion. The team brings together work that has historically sat across Customer Success, Technical Account Management, and Solutions Engineering into one full-lifecycle technical owner. Customer Engineering helps customers connect technical execution to business outcomes and realize the value of their investment in Pendo.

As a Senior Customer Engineer, you own strategic and complex Enterprise accounts across acquisition, implementation, adoption, expansion, and escalation. You lead technical strategy for complex deployments, resolve ambiguous customer challenges, and partner closely with account teams to drive retention, expansion, and customer value. Your impact extends beyond your own accounts through playbooks, coaching, repeatable fixes, and workflow improvements that raise the capability of the broader Customer Engineering team.

This is a remote role supporting a West Coast territory. 

What this looks like day-to-day

• New customer acquisition and selling: Partner with Account Directors on pre-sales motions for new customer acquisition, product expansion, and expansion across lines of business. You identify customer pain, craft and deliver tailored demos, and lead technical evaluations through requirements gathering, success criteria, installation guidance, and hands-on workshops.
• Complex implementations and value realization: Lead onboarding for strategic customers, including planning, implementation, integrations, and training. You build customer-specific implementation playbooks, guide complex deployments with executive visibility, and ensure customers realize value during onboarding and over time.
• Adoption, expansion, and growth: Identify opportunities to expand adoption across underutilized features, untapped products, and new lines of business. When adoption stalls, you diagnose root causes, design a path forward, and connect technical work to measurable business outcomes.
• Technical escalation: Serve as an escalation point for complex technical challenges raised by other Customer Engineers. You resolve ambiguous problems with multiple variables and tradeoffs, involving Product or Engineering only when truly needed.
• Team capability building: Build playbooks, document repeatable fixes, coach peers, and improve how Customer Engineering work gets done across the team. You use AI tools to accelerate content creation, surface patterns across accounts, and share practical workflow findings with the broader team.
• Early account impact: Assess account health, risks, stakeholder relationships, and the highest-priority problems to solve within your portfolio. You establish trust with Account Directors and customer stakeholders, then independently lead complex customer interactions that move accounts forward.
• Quarterly business outcomes: Drive measurable improvement in customer health, retention, expansion, and technical resolution across strategic accounts. You contribute reusable frameworks, playbooks, or processes that other Customer Engineers use and become a trusted advisor to Account Directors on account health and technical strategy.

Who You Are

Beyond the qualifications, we hire through a specific lens. These aren't buzzwords; they're the things we'll actually look for in how you talk about your work.

You're a builder, not a maintainer.

You're most energized when there isn't a clear path yet, and you get to define it. You don't wait for direction; you identify gaps, shape solutions, and drive them forward. At Pendo, great Senior Customer Engineers don't just follow instructions; they operate as strategic advisors, influencing decisions, guiding stakeholders, and elevating how we work.

You're AI-curious - genuinely.

You're not using AI tools occasionally. You're rewiring how you work around them. You're faster, sharper, and more prolific because of it, and you bring that energy to everything — how you approach your work, how you prep, how you communicate, how you think. We want someone who sees AI as a multiplier, not a shortcut.

Must-haves

• 5 to 8 years of experience in a customer-facing technical role such as Sales Engineering, Solutions Engineering, Technical Account Management, Customer Engineering, implementation, professional services, or solutions architecture.
• Deep hands-on experience with web technologies including HTML, CSS, JavaScript, and REST APIs, with the ability to architect and troubleshoot complex front-end implementations.
• Proven experience managing strategic Enterprise accounts with executive-level stakeholders, competing priorities, and complex technical or business requirements.
• Demonstrated ability to solve ambiguous problems involving multiple variables, constraints, and tradeoffs.
• Experience connecting technical execution to business outcomes such as retention, expansion, ROI, and value realization.
• Hands-on use of AI tools for account research, content creation, or workflow automation, with demonstrated integration into day-to-day work rather than light experimentation.
• Experience mentoring or coaching more junior technical team members.

Nice-to-haves

• Experience with Pendo, digital adoption platforms, product analytics, or in-app experience tooling in an enterprise environment.
• Hands-on experience with mobile app development, including Swift, Android, or React Native.
• Familiarity with data architecture, AI or machine learning concepts, or advanced analytics instrumentation.
• Track record of building reusable frameworks, playbooks, or processes that were adopted by a broader team.

About Pendo

Pendo was founded in 2013 by former product managers, who combined their heads and hearts to build something they wanted but never had as product managers: a simple way to understand and attack what truly drives product success. Our mission is to improve society's experience with software. Come join one of the fastest-growing startups, supported by best-in-class institutions like Battery Ventures, Salesforce Ventures, Spark Capital and Meritech.

Pendo Core Values: Bias to Act, Hone Your Craft, The Team is Pendo, and Maniacal Focus.

Location: Remote

Compensation: The expected On-Target Earnings (OTE) range for this role is $193,393 - $241,742, with a 70/30 base-to-variable compensation split.

Benefits: Pendo offers highly competitive United States benefits, including employer-heavy coverage with $0 premium options, strong 401(k) match, equity, and flexible time off.

EEOC: We are an equal opportunity employer and believe having diverse teams where everyone brings their whole self to Pendo is key to our success. We welcome all people of different backgrounds, experiences, abilities and perspectives.

Accessibility: Pendo is committed to working with, and providing access and reasonable accommodation to, applicants with mental and/or physical disabilities. If you think you may require an accommodation for any part of the recruitment process, please send a request to: accommodation@pendo.io. All requests for accommodations are treated discreetly and confidentially, as practical and permitted by law.

As a Senior Technical Delivery Manager (TDM), you’ll guide client engagements from ideation to deployment for some of the world’s largest enterprises. You’ll be responsible for understanding client needs through data, conversations, and any other means necessary. You’ll work closely with Engineering, Design, and Sales.  You’ll face problems that require a mix of technical knowledge, creativity, critical thinking, and business acumen.

To strengthen our growing delivery team, we are looking for an experienced TDM who is passionate about transforming technology into critical business value. The TDM will partner with and work closely with engineering teams and the client to orchestrate the delivery of our flagship solution. This role will consider applicants from either the Washington DC Metro Area or San Francisco Bay area.

Role Responsibilities - How You Will Make An Impact:

• Orchestrate: Work with clients, the business, and engineers to set strategy and collect and prioritize requirements.  Manage requirements documentation, milestone mapping, prioritization, and communication to facilitate project collaboration.
• Execute: Work with data scientists, machine learning engineers, software engineers, and designers to build products that delight our customers. Proactively identify assumptions, dependencies, issues, risks and drive discussions across the team to develop mitigation plans and implementation paths. Maintain compliance with IT and security policies and procedures.
• Strategize: Think widely about potential applications of machine learning and natural language processing techniques, translating capabilities built for individual clients into new features or customization options for our core products.

Relevant Skills and Experience:

• 5+ years of experience in a professional environment, ideally within a SaaS-based company
• Proven success managing large-scale enterprise data integration projects that are highly technical and cross-functional in nature
• Skilled in gathering and prioritizing requirements, leading scope discussions, and aligning on project priorities
  Comfortable working across internal functions (Engineering, Product, Security, Compliance, Customer Experience, etc.) and with external client stakeholders
• Strong technical understanding with the ability to contribute to system design conversations and drive enterprise data and architecture initiatives
• Experience working with DoD or public sector clients and understanding of relevant processes (e.g., FedStart, ATO)
• Must hold an active Top Secret (TS) security clearance; TS/SCI strongly preferred

Bonus Points:

• Familiarity with machine learning workflows and core data science concepts (e.g., classification vs. regression, feature engineering, model selection and tuning, deployment considerations)
• Understanding of ML algorithms, database structures, or data pipeline development
• Background in coding or working closely with engineering teams

The annual cash compensation range for this position is US$180,000 to US $220,000.  Final compensation will be determined based on experience and skills and may vary from the range.

About GlossGenius

GlossGenius is building an ecosystem enabling entrepreneurs to succeed. We empower small business owners to focus on being creators, not admins, by offering a range of business management tools including booking and scheduling, marketing, analytics, payment processing and much more.

Over 110,000 small business owners have chosen to rely on GlossGenius every day to run their entire set of business operations. Joining its powerful, intuitive platform with its vibrant, distinguished brand, GlossGenius is the ideal combination of a fintech, SMB software, and consumer company all in one.

About the Role

As a Staff Product Designer, you will lead and own design in our Core product area, focused on empowering beauty and wellness businesses to operate and grow with seamless, reliable tools. You’ll own the strategy and execution of key product experiences together with your Product and Engineering counterparts—from scheduling needs and client and team management to payment processing. As AI reshapes how products are built and experienced, you'll play a central role in defining how intelligent features show up for our customers, thoughtfully, usefully, and in a way that feels native to the GlossGenius experience. Our ideal candidate will be able to craft a diverse set of creative solutions to complex product design problems by working with our product team and leadership in Core Product.

You must be commutable to our San Francisco office and will operate in a hybrid environment. We default to being in-office 3-4 days per week with required attendance on Tuesdays and Thursdays.

What You’ll Do

• Own the entire design process, from strategy to execution, of your product area
• Work on the user experience across Core product features within the GlossGenius app
• Own the end-to-end process for solving UX/UI design problems: ideate, conceptualize, test, and refine
• Construct user flows, wireframes, and prototypes that effectively communicate design concepts
• Identify and design AI-powered product experiences that meaningfully reduce friction for small business owners
• Lead user interviews to better understand customer needs to help inform the product design strategy
• Collaborate with cross-functional teams of product managers, software and QA engineers, customer success managers, and marketers to design intuitive and engaging user experiences for GlossGenius' customers
• Deliver products that are recognized as the best in the industry by understanding GlossGenius’s strategic and competitive position
• Take initiative in thinking of new ways our users can interact with GlossGenius

What We’re Looking For 

• 7+ years of experience in a Product Design/UX/UI or related role; prior experience designing booking platforms, scheduling tools, team management, or financial/payment products is a strong plus
• Demonstrated experience with sketching, wireframes, visual design, and prototyping for product experiences
• Experience with advanced prototyping tools (e.g. Principle, Framer, Sketch, Figma, InVision)
• Proven experience leveraging AI tools to shape design strategy and deliver impactful AI-driven experiences
• Passion for empowering small business owners to be successful; possess a high level of empathy for our customers and a strong desire to deeply understand their needs
• Experience navigating ambiguous high-growth, fast-paced product-driven environments

Benefits & Perks

• Flexible PTO
• Competitive health & dental insurance options, with premiums partially covered by GG
• Fertility and adoption benefits via Carrot and Kindbody
• Generous, fully-paid parental leave policy
• 401k benefit - employees are eligible to contribute starting day 1 of employment
• Professional Development - employees receive a yearly stipend for approved learning and educational-related expenses
• Pre-tax commuter benefits
• Dependent Care FSA
• Team Bonding: As a distributed team, being able to build meaningful bonds both virtually and in person is incredibly important to us! We are constantly evaluating how we accomplish this and currently, teams are given opportunities to gather in person throughout the year

The starting base salary for this role in New York is between $215,000-$258,000 + target equity + benefits. The base salary offered is dependent upon many factors including skills, experience, location, and education. The base pay range is subject to change and may be modified in the future. 

At GlossGenius, we celebrate our differences and are committed to creating a workplace where all employees feel supported and empowered to do their best work. We believe this benefits not only our employees but our product, customers, and community as well. GlossGenius is proud to be an Equal Opportunity and Affirmative Action Employer.

Role Overview

The Receptionist/Administrative Assistant (RA) has core responsibilities aligned to the office and its day-to-day function. ClearView’s RA are seen as the embodiment of the company values, they are a daily presence in the office and are an integral part of the office environment. In addition to the core responsibilities, the RAs provide some basic support to Leadership and some overflow support for the team. Professionalism in demeanor, communication, and appearance is key in this role as the first point of contact for clients and visitors. As with all ClearView employees, there is an opportunity, and expectation, that the RA will join one of our many internal initiatives to integrate themselves into the company culture, engage with employees they may not otherwise, and continue to gain new skills, experience, and knowledge.  

General office-related Receptionist responsibilities  

There are a range of responsibilities related to the Receptionist role with the most important being the daily maintenance of the office environment. Examples of these activities are: 

• Stock pantry, office supply room
• Receive and unpack supplies and ensure orderly storage of items in closets
• Take inventory (coordinated with Office Manager)
• Receive mail and packages and distribute them as necessary
• Greeting guests, logging visitors with building security, parking validation, manage sign- out and return of loaner access cards for visiting employees
• Ensure kitchen and reception areas are clean and tidy
• Assist in set up and breakdown for office events
• Answer phones
• Manage general office email inboxand direct inquiries appropriately

Basic administrative support for aligned leadership and extended leadership team members 

Each RA will have a specific set of aligned leadership and extended leadership team members. Administrative support for the aligned set of individuals is the primary priority of this role.  

• Manage travel arrangements.
• Manage and submit expenses promptly 
• Calendar and scheduling support (internal and external)
• Printing & binding support

Alignment to a core internal function (5% - 10%) 

Each RA supports one of ClearView’s internal functions. To do so effectively, attention to detail and strong Excel, Word, and PowerPoint skills are ideal. While the role will vary depending on the alignment, below are examples of the types of activities an RA may expect to engage in: 

• Support data entry associated with new employees (e.g., HR alignment)
• Assist with project documentation or document tracking (e.g., Finance alignment)
• Track marketing conference outreach and downstream leads (e.g., Marketing alignment)
• Support event planning (e.g., Team Building alignment)
• Schedule interviews, book travel, submit candidate expenses for reimbursement (e.g., TA alignment)
• New hire training scheduling and coordination (e.g., Learning & Development alignment)

Requirements

The successful candidate must have the following skills and experience: 

• 1+ years of experience in an office environment
• Professional written and oral communication skills
• Technological literacy (Microsoft Office Suite)
• Strong attention to detail 
• Ability to lift up to 50 pounds

In addition, an outstanding Receptionist/administrative assistant candidate will also have: 

• Ability to be in the San Francisco office 5 days per week (required)
• Previous experience in a receptionist or administrative role
• Ability to multi-task and prioritize
• Comfort with rolling up sleeves regardless of the task
• Desire to connect with people and develop relationships
• Alignment with ClearView’s values (Who We Are - Clearview | Clearview (clearviewhcp.com))
• Familiarity with Concur and Salesforce is a plus

The first-year base salary for this position is $65,000.

In addition to the base salary, you will be eligible for an annual discretionary performance bonus, and a comprehensive benefits package.

The opportunity
Unity is looking for a Senior Machine Learning Infrastructure Engineer to join our Vector Ads team, where we build the real-time systems that power Unity's global advertising platform. This is a high-scale, low-latency environment — processing billions of requests daily to deliver fast, relevant ads to players around the world.

You'll build and operate the infrastructure that brings ML models from training into production, ensuring our ranking, bidding, and targeting systems run reliably at scale. This is a great opportunity for an engineer who's excited to work at the intersection of ML systems and distributed infrastructure, collaborate across teams, and have direct impact on how machine learning shapes the player and advertiser experience.

What you'll be doing

• Design, build, and maintain the infrastructure that serves ML models in real-time across Unity's ads ecosystem
• Build and operate scalable model serving pipelines — owning latency, throughput, and reliability in a high-QPS production environment
• Partner with ML engineers to productionize models, manage model deployments, and improve iteration speed
• Improve observability, performance, and cost-efficiency of ML serving infrastructure
• Contribute to architectural decisions around feature serving, model versioning, and inference optimization

What we're looking for

• Experience building and operating ML infrastructure or model serving systems in production
• Proficiency in Golang or Python, with strong systems engineering fundamentals
• Hands-on experience with Kubernetes and container orchestration at scale
• Familiarity with ML serving frameworks such as Ray Serve, Triton, TorchServe, or similar
• Understanding of distributed systems, API design, and system reliability
• Strong collaboration and communication skills in a remote-first environment

You might also have

• Experience with feature stores, feature pipelines, or online/offline feature serving
• Background in ad tech, real-time bidding, or programmatic advertising systems
• Familiarity with infrastructure-as-code such as Terraform
• Experience with observability tooling — Prometheus, Grafana, OpenTelemetry
• Background with real-time data pipelines, caching layers, or low-latency serving systems

Additional information

• Relocation support is not available for this position

Benefits
At Unity, we want our team members to thrive. We offer a wide range of benefits designed to support well-being and work-life balance.

Please note: Benefits eligibility, specific offerings, and coverage vary based on the country and employment status.

While specific benefits vary, here are some of the ways we strive to take care of our eligible team members globally: Comprehensive health, life, and disability insurance | Commute subsidy | Employee stock ownership | Competitive retirement/pension plans | Generous vacation and personal days | Support for new parents through leave and family-care programs | Office food snacks | Mental Health and Wellbeing programs and support | Employee Resource Groups | Global Employee Assistance Program | Training and development programs | Volunteering and donation matching program

Life at Unity
Unity [NYSE: U] is the world’s leading game engine, powering play for more than 3 billion consumers each month. The top mobile games in the world, the most played PC indie titles, the most innovative console games, and virtually all of the top XR and Web Games are developed, deployed, and grown in Unity. Unity also enables teams across industries like automotive, manufacturing, and healthcare to design, simulate, and collaborate in 3D — closing the gap between ideas and reality. For more information, please visit www.unity.com.

Unity is a proud equal opportunity employer. We are committed to fostering an inclusive, innovative environment and celebrate our employees across age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. Our differences are strengths that enable us to support the growing and evolving needs of our customers, partners, and collaborators. If you have a disability that means there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience, please fill out this form to let us know.

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

This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.

Headhunters and recruitment agencies may not submit resumes/CVs through this Web site or directly to managers. Unity does not accept unsolicited headhunter and agency resumes. Unity will not pay fees to any third-party agency or company that does not have a signed agreement with Unity.

Your privacy is important to us. Please take a moment to review our Prospect Privacy Policy and Applicant Privacy Policy. Should you have any concerns about your privacy, please contact us at DPO@unity.com.

#SEN #LI-ED1

We’re looking for a Principal Engineer to drive the technical direction and architecture of Platform-as-a-Service (PaaS) at DigitalOcean. Our mission is to make deploying, scaling, and managing applications as simple and seamless as possible for developers around the world—from first deploy to internet scale.

As a Principal Engineer on the PaaS team, you’ll play a key role in designing and building the next generation of cloud-native services such as App Platform, Functions, and CI/CD. You’ll architect systems that power our global infrastructure, partner closely with engineering and product teams across the company, and mentor engineers to level up the entire organization. This is a unique opportunity to shape how developers build and ship software on a platform purpose-built for simplicity and scale.

We’re looking for someone who can span technical strategy and hands-on execution—someone who thrives on solving complex distributed problems and multiplying the impact of everyone around them.

What You’ll Do:

• Architect and guide the implementation of high-scale, reliable, and secure systems that underpin our PaaS offerings.
• Drive technical direction and make foundational decisions on system design, scalability, observability, and developer experience.
• Partner with product managers and engineering leadership to define short- and long-term roadmap priorities.
• Identify platform bottlenecks, inefficiencies, and future risks—and design solutions that proactively address them.
• Collaborate across teams to ensure seamless integration between platform services, infrastructure, and developer tools.
• Mentor engineers at all levels and contribute to a culture of technical excellence, inclusivity, and impact.
• Stay ahead of emerging technologies, patterns, and best practices in the PaaS, serverless, and cloud-native ecosystem.

Key Metrics:

• Platform availability and system performance
• Developer adoption and satisfaction
• Technical debt reduction and architectural clarity
• Engineering velocity and cross-team alignment

What You’ll Add to DigitalOcean:

• 11+ years of experience designing and building distributed systems at scale.
• Expertise in one or more backend languages (e.g., Go, Python, C++, Java) and strong fundamentals in systems architecture and infrastructure.
• Proven experience leading the design of large-scale services used by 1000s (or millions) of customers.
• Passion for mentoring and elevating those around you—technical leadership is about multiplying impact.

Compensation Range:

• $227,040 - $283,800

*This is a remote role

JR: 2025-7225

#LI-Remote

#LI-SK1 

About the Role

We are looking for an engineering leader to lead machine learning efforts across Hightouch. While hundreds of companies use Hightouch today to sync data into their SaaS systems to automate and improve operations, there’s a lot of surface area we haven’t touched in helping companies figuring out which customers to message, what content to put in messages, and when to send messages. A lot of this work today is done manually through intuition and guesswork, and we believe that adding machine learning could have a step function impact for our customers. And given our access to data warehouses and databases, Hightouch is perfectly placed to make use of a company’s customer data in building a powerful intelligence layer.

At Hightouch, our engineering leaders serve as both active technical voices and strong people managers. The key outcomes we are looking for from this role include:

• Product Development: Lead the team in roadmapping and executing successful development of significant features and products as required to drive the business forward. Uphold a high technical bar, while making pragmatic tradeoffs
• Pace: Through a combination of leadership and technical expertise, improve the pace of execution of the team
• Recruiting: Be responsible for growing the team, including identifying needs, deciding how to evaluate candidates, and ensuring we hire high impact team members
• Reliability: Against the uphill battle of high growth/scale, up-level the team on reliability, resulting in fewer incidents, catching our own issues before our customers do, and a strong incident management hygiene
• People: Foster growth of team members and ensure strong engagement and motivation

Some of the problems we’ll be working on include:

• Personalization and Product Recommendation: There are often many options for what content a company could message a user with, including which products to show from catalogues. Given this large state space, how can Hightouch help personalize messages with the most relevant content for each user?
• Probabilistic Identity Resolution: Many of our customers have multiple datasets and sources of information on their users. How do we stitch these datasets together and decide which profiles are from the same user or household?
• Content Generation: Particularly with recent advances in LLMs, how can we help marketers generate text, images, and creatives that are compelling to their customers?
• ML Infrastructure: Building the infrastructure to support model training and interference at scale for some of the largest companies in the world.

What We Offer

We are looking for talented, intellectually curious, and motivated individuals who are interested in tackling the problems above. This is a senior role, but we focus on impact and potential for growth more than years of experience. The salary range for this position is $230,000 - $350,000 USD per year, which is location independent in accordance with our remote-first policy. We also offer meaningful equity compensation in the form of ISO options, and offer early exercise and a 10 year post-termination exercise window.

We have limited inbound applications to one application per candidate. You will be auto-rejected if you apply to multiple roles. Please only apply to the position you are most qualified for.

About The Role

In this role you will lead a team of Technical Architects who serve as the bridge between Hightouch and our largest Fortune 5000 customers. You will be responsible for building, developing, and scaling a world-class team that oversees the entire customer journey from kick-off to onboarding to continued success and expansion.

In this role, you will combine people leadership with deep technical expertise to ensure our Enterprise customers maximize their value from the Hightouch platform. You'll be responsible for developing your team's technical capabilities, establishing best practices for customer engagement, and driving strategic initiatives that increase customer retention and expansion across our largest accounts.

As a hands-on leader, you will maintain involvement in complex technical escalations while empowering your team to deliver exceptional customer experiences. You'll collaborate closely with Sales leadership to develop strategies for increasing platform adoption within large organizations and work cross-functionally to surface customer insights that drive product innovation.

What You'll Do

People Leadership & Development

• Build, hire, and develop a high-performing team of Technical Architects focused on our largest Enterprise customers
• Provide mentorship, coaching, and career development opportunities for team members
• Establish team goals, performance metrics, and accountability structures that drive customer success outcomes
• Foster a culture of continuous learning and technical excellence within the team

Strategic Customer Success

• Drive retention and expansion strategies for our largest Enterprise customers in partnership with Sales leadership
• Develop and implement scalable processes for customer onboarding, success planning, and expansion
• Analyze customer health metrics and develop proactive intervention strategies
• Ensure consistent delivery of technical expertise and guidance across all customer engagements

Technical Excellence & Operations

• Maintain deep technical knowledge of Hightouch's platform and stay current with product developments
• Establish technical best practices and standards for customer implementations
• Lead complex technical escalations and problem-solving initiatives
• Collaborate with Engineering and Product teams to prioritize customer-driven feature requests and improvements

Cross-Functional Leadership

• Partner with Sales, Marketing, and Product teams to drive customer success initiatives
• Contribute to go-to-market strategies for new products and features
• Represent the voice of the customer in internal strategy discussions
• Drive process improvements that enhance team efficiency and customer satisfaction

What We're Looking For

Leadership Experience

• 3-5 years of people management experience, preferably leading technical customer-facing teams
• Proven track record of building and scaling high-performing teams in fast-growing environments
• Experience developing talent and creating career growth paths for technical professionals
• Strong coaching and mentorship abilities with a focus on both technical and soft skill development

Technical & Customer Success Background

• 8-10 years of experience in client-facing and/or technology-focused roles combining business acumen with technical expertise
• Deep understanding of enterprise software implementations, APIs, databases, and data integration systems
• Experience with customer success methodologies, metrics, and best practices
• Proven ability to manage complex technical projects with multiple stakeholders

Core Competencies

• Exceptional communication and presentation skills with ability to influence at all organizational levels
• Strong analytical and problem-solving abilities with a data-driven approach to decision making
• Experience working with Fortune 500 companies and understanding enterprise sales cycles
• Ability to thrive in ambiguous, fast-paced environments while maintaining high standards
• Natural curiosity about data platforms and how companies can leverage data for business outcomes

Preferred Qualifications

• Experience with data warehouses, ETL/ELT processes, and modern data stack technologies
• Background in Customer Data Platforms (CDPs), marketing technology, or data activation
• Experience in B2B SaaS companies, particularly in customer success or solutions engineering roles
• Track record of driving customer expansion and reducing churn in enterprise accounts

Location & Compensation

This role will support our West Coast Team. The salary range for this position is $230,000 - $260,000 USD per year (80/20 split variable), which is location independent in accordance with our remote-first policy. We also offer meaningful equity compensation in the form of ISO options, and offer early exercise and a 10 year post-termination exercise window.

Join us in building the future of customer data activation and lead a team that makes a meaningful impact for some of the world's largest companies!

We are looking for a Staff Forward Deployed Engineer who is passionate about solving complex cloud infrastructure challenges in the fast-growing AI/ML space. This is a high-impact position designed to be the "technical tip of the spear" for our most strategic AI-Native (ANE) customers.

As an FDE, you will sit at the intersection of Product Engineering and Customer Implementation. You will be embedded directly with our most strategic customers to drive transformational AI adoption. You will collaborate closely with customer teams to ship advanced AI applications that solve real world business problems.

You will build the tools, migration scripts, and AI starter kits that don't just solve one customer's problem, but scale the entire DigitalOcean AI Cloud ecosystem. Your mission is to accelerate "time-to-inference" in production at scale and serve as a critical feedback loop, ensuring our product roadmap is informed by the world's most demanding AI workloads.

What you’ll do:

• Embedded Customer Engineering: Partner deeply with strategic ANEs to manage complex migrations, build production-ready PoCs, and execute hands-on application builds on our GPU infrastructure.
• Build Scalable Assets & Tooling: Operationalize field learning by building migration planners, reusable systems, benchmarking frameworks, model optimization agents, and deployment automation scripts (e.g., Terraform/Pulumi) that standardize how AI workloads are deployed and tuned across DigitalOcean.
• Develop AI "Starter Kits": Create pre-built GenAI agents, solution templates, and notebooks (e.g., LangGraph, CrewAI) tailored to popular and advanced business needs.
• Drive the Product Roadmap: Act as the frontline technical voice for CPTO, surfacing architectural gaps and edge cases to inform core product development. Transition field-built tools into native product features.
• New Tech Validation: Lead the early testing and integration of emerging AI frameworks to ensure a first-class developer experience on DigitalOcean.
• Partner & GTM Enablement: Co-develop delivery frameworks with Strategic and Technical partners to enable repeatable, high-quality deployments at scale.
• Market Leadership: Produce field-tested demo kits and deployment guides that support new product releases with practical, validated assets.

Key Metrics

• Customer Adoption: Number of high-impact production workloads landed; reduction in average "time-to-production"; and Pilot-to-Production conversion rates.
• Asset & Tooling Delivery: Number of reusable tools (agents, scripts, playbooks) delivered per quarter and their subsequent adoption rate by the crossfunctional teams and customers.
• Field Enablement & Scale: Measured by the successful handoff and execution of FDE-defined deployment patterns to technical partners and the internal adoption rate of FDE playbooks across all customer-facing technical teams.
• Product Influence: Number of roadmap features or architectural changes directly attributed to FDE feedback and validated customer hypotheses.

What You’ll Add to DigitalOcean:

• AI/ML Architecture & Domain Expertise: Significant experience in the AI/ML lifecycle, specifically hosting large language or multimodal models using inference engines like vLLM, SGLang, or Modular. You have a deep understanding of common LLM architectures and optimization techniques (e.g., continuous batching, quantization).
• Distributed Systems & Infrastructure Mastery: Act as the subject matter expert on modern GPU families (NVIDIA/AMD) and their software stacks (CUDA, ROCm, TensorRT, OpenAI Triton). Expert proficiency in Kubernetes (K8s) and the design of distributed systems, including microservices, messaging systems, databases, and Infrastructure as Code. You can seamlessly integrate AI workloads with core cloud services (Networking, VPC, Storage, Compute).
• High-Performance Inference & Hardware Optimization: Hands-on experience with distributed inference serving frameworks (e.g., llm-d, NVIDIA Dynamo, or Ray Serve). You understand GPU-level optimization and have experience with interconnect technologies like NVlink, XGMI, or RoCE to maximize hardware efficiency.
• Software Engineering Foundation: Strong production coding skills in Python or Go with the ability to build high-quality tools, automation, and internal assets.
• Data-Driven Performance Insight: Proven ability to benchmark AI infrastructure and perform GPU utilization tuning to optimize customer ROI and workload performance.
• Consultative Execution: Proven ability to establish instant technical credibility with CTOs and Lead Architects while managing high-stakes technical migrations.

Preferred

• Experience with emerging AI orchestration frameworks like LangGraph, CrewAI, or LlamaIndex.
• A background in technical consulting or "Forward Deployed" roles at high-growth AI or infrastructure companies.
• Experience building and scaling "Center of Excellence" models or partner delivery frameworks.
• Active contributor to open-source AI projects or technical communities.

Compensation Range: 

• $195,000 - $239,000

*This is a remote role

JR: 2026-7748

#LI-Remote

About the role

Anthropic is hiring a Lead for our Talent Development & Enablement team to help build the systems that help Ants (particularly managers) thrive. This is a build role: you'll partner directly with the team lead to think holistically about talent development across Anthropic, with a strong primary focus on the manager and leader audience.

You'll bring deep instructional design expertise, exceptional facilitation skills, and a strong point of view on how to grow people, and managers in particular, in an environment of unprecedented growth and change. You'll design across modalities (self-service, live virtual, in-person) and across audiences (new hires, ICs, first-time managers, experienced leaders, executives), and you'll treat AI as a chance to reimagine what talent development can be, not retrofit it onto what already exists.

This role suits someone who is energized by extreme ambiguity, ships fast, and wants to invent the playbook rather than execute someone else's. You'll be one of the first specialist hires on a new team, which means your point of view will shape what we build and how we measure success.

Key responsibilities

• Design and ship talent development experiences end-to-end — from needs analysis through facilitation and measurement 
• Build innovative, Claude-enabled learning experiences that Ants actually use and find valuable, across audiences and modalities
• Facilitate live sessions for managers and senior leaders, including workshops and offsites; flex into broader Ant audiences when the work calls for it
• Partner closely with cross-functional teams to integrate learning into the broader Ant and manager experience
• Develop a clear point of view on what makes Ants — and managers in particular — effective at Anthropic and design against that
• Make the work visible — clearly communicate the value, outcomes, and strategic relevance of programs to the broader organization
• Iterate rapidly based on feedback; ship a v1 in days or weeks, not quarters

Minimum qualifications 

• Deep experience in learning & development, instructional design, or organizational development at high-growth tech companies
• Have personally designed and shipped talent development programs at scale, with strong examples in manager and leader development specifically — built from first principles, not assembled from vendor content
• Are an exceptional facilitator with experience holding the room with senior audiences, including VPs and executives
• Have demonstrable AI/LLM fluency in learning design — you have built or shipped AI-enabled learning experiences and have a point of view on what AI changes about how people learn
• Can design across modalities (self-service, live virtual, in-person) and across audiences (new hires, ICs, first-time managers, experienced leaders, executives)
• Are energized by building from scratch in fast-moving, ambiguous environments and can name specific meaningful ships you delivered in short windows
• Can connect the dots across the full talent lifecycle and articulate how your work ladders up to broader company strategy

Preferred qualifications

• 8-10+ years in learning & development, instructional design, or organizational development at high-growth tech companies
• Experience building Claude- or LLM-powered learning tools
• Background in instructional design, adult learning theory, or organizational psychology
• Experience designing development programs for technical audiences (engineering, research) at the IC and manager level
• Experience preparing organizations and their managers for significant change (rapid scaling, role evolution, reskilling)

About the opportunity

The Customer Insights & Adoption (CIA) team is hiring a senior architect to lead internal technical enablement across Contentful’s product portfolio and recommended ways of building. You will serve as a deeply technical, highly cross-functional subject matter expert who empowers internal teams, customers, and partners to adopt Contentful with confidence and consistency. You’ll apply your industry experience, consultative leadership, and passion for teaching to build scalable programs and toolkits that drive a shared understanding of what good looks like, inform product innovation, and guide business strategy.

What to expect?

• Own and evolve internal technical enablement on Contentful product features, implementation patterns, and best practices for the Customer Experience organization (e.g. Customer Success Management, Professional Services, Learning Services, Customer Support Engineering) and cross-functional teams (e.g. Sales Engineering, Partnerships)
• Serve as a company-wide Contentful subject matter expert by engaging closely with internal teams to develop prescriptive implementation guidance and synthesize it into workshops, enablement materials, tools, examples and other resources
• Establish a strategic, scalable technical enablement practice that supports continuous education, centralized knowledge sharing, and consistent understanding across teams, customers, and solution partners
• Collaborate with Product, Product Marketing and Demo teams throughout the product development lifecycle to evaluate new features, provide actionable feedback, and influence decisions as a trusted advisor
• Coordinate closely with Professional Services to translate customer implementation insights into impactful enablement content; coordinate with Learning Services and Developer Experience to ensure messaging and guidance are aligned across courses, training, and documentation
• Create, curate, and maintain a library of enablement materials including feature usage guidance, prescriptive patterns, use cases, discovery questions, and architectural recommendations
• Develop and deliver internal workshops and technical training that effectively support both technical and non-technical audiences; model excellent virtual facilitation and learner engagement techniques
• Contribute to and help lead strategic enablement initiatives, such as starter kits, maturity models, trial environments, and other cross-team projects that strengthen our internal, customer, and partner ecosystem
• Support Customer Success Managers and Partner Managers as a technical advisor during select customer and partner engagements, providing clarity on architecture, implementation decisions, and best practice adoption

What do you need to be successful?

• 6+ years of experience in solutions architecture, technical consulting or a similar technical role, ideally in a digital experience platform environment or solution services agency
• Deep familiarity with content management systems, composable architecture, and modern web development patterns (e.g. headless CMS, API-first)
• Practitioner-level code proficiency, including comfort working with modern web frameworks (e.g. React, Next.js), APIs, SDKs, and developer tooling, with the ability to critically evaluate implementation approaches
• Proven ability to translate complex technical concepts into clear, actionable guidance for both technical and non-technical audiences, including in writing, workshops, and live facilitation
• Strong track record of building and scaling technical enablement programs, knowledge bases, or enablement practices in a cross-functional environment
• Experience working closely with Customer Success, Professional Services, Sales Engineering, or Partner teams in a customer-facing or internal advisory capacity
• Excellent consultative and communication skills, with the ability to influence stakeholders and drive alignment across teams
• Demonstrated ability to synthesize customer and field insights into prescriptive patterns, architectural recommendations, and reusable enablement assets
• Comfortable taking ownership of strategic initiatives from ideation through execution
• Experience designing and delivering engaging virtual training and workshops with strong learner engagement techniques
• Collaborative mindset with a passion for teaching, knowledge sharing, and elevating the technical capability of those around you

What's in it for you?

• Join an ambitious tech company reshaping the way people build digital experiences
• Full-time employees receive Stock Options for the opportunity to share in the success of our company
• Comprehensive healthcare package covering 100% of monthly health premiums for employees and 85% of costs for your dependents. 
• Fertility and family building benefits, including a lifetime reimbursable wallet to support your growing family.
• We value Work-Life balance and You Time! A generous amount of paid time off, including vacation days, sick days, compassion days for loss,  education days, and volunteer days
• Company paid parental leave to care for and focus on your growing family 
• Use your personal annual education budget to improve your skills and grow in your career
• Enjoy a full range of virtual and in-person events, including workshops, guest speakers, and fun team activities, supporting learning and networking exchange beyond the usual work duties 
• An annual wellbeing stipend to care for your physical, financial, or emotional health
• A monthly communication stipend and phone hardware upgrade reimbursement.
• New hire office equipment stipend for hybrid or distributed employees. Get the gear you need to work at your best.

This role will need to be conducted in a state in which we are currently registered to do business. In addition, this position is not eligible for visa sponsorship. Applicants must be authorized to work without the need for visa sponsorship by the start date of employment.

This position is eligible for equity awards in accordance with the terms of Contentful’s equity plans.

California Salary Statement: The salary range displayed is specifically for those potential hires who will work or reside in the state of California if selected for the role. Any offered salary is determined based on internal equity, internal salary ranges, market data/ranges, applicant's skills and prior relevant experience, certain degrees and certifications (e.g. JD/technology), for example.

California Salary: $185,000- $251,000

WHAT IS BOX? 

Box (NYSE:BOX) is the leader in Intelligent Content Management. Our platform enables organizations to fuel collaboration, manage the entire content lifecycle, secure critical content, and transform business workflows with enterprise AI. We help companies thrive in the new AI-first era of business. Founded in 2005, Box simplifies work for leading global organizations, including JLL, Morgan Stanley, and Nationwide. Box is headquartered in Redwood City, CA, with offices across the United States, Europe, and Asia.

By joining Box, you will have the unique opportunity to continue driving our platform forward. Content powers how we work. It’s the billions of files and information flowing across teams, departments, and key business processes every single day: contracts, invoices, employee records, financials, product specs, marketing assets, and more. Our mission is to bring intelligence to the world of content management and empower our customers to completely transform workflows across their organizations. With the combination of AI and enterprise content, the opportunity has never been greater to transform how the world works together and at Box you will be on the front lines of this massive shift.

WHY BOX NEEDS YOU

As an Associate Solutions Engineer (ASE), you will partner with our global Solutions Engineering (SE) team to craft customer-centric solutions for business and IT leaders in every industry. 

To best prepare you for this full-time role, Box is inviting you to join our 6-month intensive training program, the ASE Academy, which is designed to teach you the tools and tactics that serve as the foundation to be a successful Solutions Engineer at Box. Throughout the program, you will receive comprehensive training focused on both technical and professional skill development, and you will have opportunities to practice these skills while supporting the needs of the business. By the end of the academy, you will have demonstrated proficiency with the Box product, and comfortability presenting the value of our solution for specific business challenges. 

Upon completion of the Academy, you will continue your development as an Associate Solutions Engineer, leveraging your product expertise to help our customers — and our internal employees — better understand the value of the Box platform.

WHAT YOU'LL DO 

• Collaborate with colleagues using a modern suite of SaaS business applications (Box, Salesforce, Slack, Zoom, etc.)

• Develop your professional and technical skills by completing the ASE Academy and continuing into a full-time ASE position

• Become an expert on the Box platform (web, mobile, desktop, and APIs)

• Get hands-on experience building and utilizing Box AI Agents

• Partner with SEs on strategic opportunities to ensure our technology is a good fit for our customers

• Utilize your active listening skills to understand and uncover customer needs and business problems to effectively communicate how Box can solve them

• Deliver product demonstrations to our customers and our internal teams

WHO YOU ARE 

We are an AI-first company. This means you approach your work with a growth mindset and find ways to leverage AI to help make faster, smarter decisions that will 10X your impact at Box.

• Associate or Bachelor’s Degree - open to Spring 2026 graduates

• 1+ year cumulative experience in a customer-facing or service-oriented role

• Demonstrated interest in learning new technology and leveraging it to solve challenges

• Ambition and desire to pursue a career in technical sales

• A team player who thrives on collaboration

• Highly motivated, driven and self-starting individual with a positive attitude

• Engaging communicator who is comfortable delivering presentations

Box lives its values, with community and in-person collaboration being a core part of our culture. Boxers are expected to work from their assigned office a minimum of 3 days per week.Your Recruiter will share more about how we work and company culture during the hiring process.

At Box, we believe unique and diverse experiences benefit our culture, our products, our customers, our company, and our world. We aim to recruit a passionate, high-performing workforce that reflects the world we live in. If you are head-over-heels about this role but unsure if you meet all the requirements, we encourage you to apply!

EQUAL OPPORTUNITY

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, and any other protected ground of discrimination under applicable human rights legislation. Box strives to respect the dignity and ‎‎independence of people with disabilities and is committed to giving them the same ‎‎opportunity to succeed as all other employees. Inclusiveness is core to our culture at Box, and we strive to ensure you get the most from your interview experience.

Box makes reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please complete this form. Reasonable accommodations may include scheduling adjustments, document dictation and beyond.

Notice to applicants in Los Angeles:  Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the Los Angeles Fair Chair Ordinance.  The Fair Chance Ordinance is provided here. 

Notice to applicants in San Francisco:  Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chair Ordinance.  The Fair Chance Ordinance is provided here. 

For details on how we protect your information when you apply, please see our Personnel Privacy Notice. If you are a California-resident, please read our California Applicant & Candidate Privacy Notice here.

#Li-Hybrid

What we are looking for

Aurora hires talented people with diverse backgrounds who are ready to help build a transportation ecosystem that will make our roads safer, get crucial goods where they need to go, and make mobility more efficient and accessible for all.

We're searching for a Staff Security Engineer to join our Enterprise Security Engineering team, reporting to the Technical Lead Manager of Security Engineering.

Aurora is scaling its autonomous trucking operations, and the security foundations protecting our employees, devices, internal systems, and data need to scale with us. We're looking for a deeply technical enterprise security engineer who is as comfortable in a code editor as in a security console — you build the systems that make Aurora's security operations possible. This is a role for someone who can architect robust enterprise security solutions, write the code to implement them, and partner across Engineering and IT to make sure security is embedded from the start, not bolted on at the end.

This is not a security operations-only role. It sits squarely in enterprise security engineering, where the work is designing, building, and owning the platforms, integrations, and automation that power Aurora's internal security posture at scale.

In this role you will

• Own the architecture and implementation of Aurora's enterprise security controls — designing the systems and integrations that protect Aurora's endpoints, identities, internal infrastructure, and SaaS environment.
• Design and build Aurora's security telemetry and detection infrastructure, including log pipelines, SIEM integrations, and alerting frameworks — in partnership with the Security Operations Engineer who owns ongoing tuning and rule development.
• Define and enforce enterprise security standards, conducting architecture and design reviews to ensure alignment with Aurora's security posture and risk tolerance.
• Partner with IT, Infrastructure, and Engineering teams to embed security requirements early — shifting left on corporate IT initiatives before they become technical debt.
• Build automation and tooling that extends the capabilities of Aurora's security platforms, reduces manual operational burden, and scales the team's impact.
• Serve as the escalation point for enterprise security incidents requiring engineering-level investigation or remediation, and participate in the team's on-call rotation.
• Translate security strategy into concrete, executable engineering projects with clear milestones and measurable outcomes.

Required qualifications

• 12+ years of hands-on experience in enterprise security engineering or corporate information security — specifically securing employee-facing systems, endpoints, identities, and internal infrastructure (not product or application security).
• Proficiency in at least one programming language, used in a security context — writing production-quality automation, integrations, or internal tooling (the team primarily uses Go; Python is also common).
• Experience architecting and integrating enterprise security platforms — designing API integrations, automating workflows, and building tooling that extends platform capabilities across domains such as EDR/XDR, MDM, IAM/IGA, DLP, SaaS security, cloud security, or PKI.
• Experience designing and building security telemetry pipelines and detection infrastructure — log ingestion, normalization, SIEM integration, and alerting architecture.
• Experience leading cross-functional security engineering projects — defining scope, driving execution, and aligning stakeholders across Engineering and IT.
• Track record of conducting security architecture reviews and translating findings into actionable, risk-prioritized remediation plans.
• Experience evaluating security posture and identifying systemic gaps, with a bias toward building durable solutions rather than one-off fixes.

Desirable qualifications

• Experience with Zero Trust architecture and identity-centric security models (BeyondCorp-style or similar).
• Familiarity with NIST CSF, MITRE ATT&CK, and CIS Benchmarks as engineering inputs — used to inform what to build and how to validate it, not just as compliance checkboxes.
• Hands-on AWS security experience (SCPs, GuardDuty, Security Hub, IAM, etc.) and familiarity with integrating cloud security signals into a corporate security platform.
• Experience with applied cryptography and PKI in a production enterprise environment — certificate lifecycle management, CA design, or secrets management.
• Familiarity with securing AI/ML platforms or applications built on LLMs, RAG pipelines, or MCP-based architectures.
• Security certifications such as CISSP, GCED, GREM, or similar (valued but not required).

The base salary range for this position is $189,000 - $274,000 per Year. Aurora’s pay ranges are determined by role, level, and location. Within the range, the successful candidate’s starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits.

#Mid-Senior 

About Wholesail ⛵️

Wholesale trade, a $55T global market, still operates like the world before the internet and modern payment networks: collection processes are manual and run on paper, short-term credit risk is assumed by the vendor, and businesses rely heavily on legacy ERP systems that don't talk to each other. The result is large, measurable drag — we estimate that vendors spend over $500B a year globally across industries on an inefficient mix of processing, bad debt, lending, credit insurance, software, and labor costs to get paid.

Wholesail is building a financial network from the ground up that connects the systems of vendors and buyers involved in wholesale trade to enable streamlined payment and the transfer of risk to third parties. This will allow vendors to offload risk and eliminate tens of billions of waste — while giving creditworthy buyers better terms and third-party capital, unlocking hundreds of billions (ultimately trillions) in additional sales. The primitives of this network scale across industries and geographies: a universal approach to ERP integrations, modern payment rails, and a live trade-credit bureau to underwrite risk — which we're calling Lighthouse.

The Opportunity: Risk & Capital Products 🚢

Credit is the load-bearing beam of our network. Every time a vendor ships goods before getting paid, someone is taking a risk — today it's the vendor, tomorrow it should be a third party at a fair price. Getting that transfer right is what unlocks the next order of magnitude of sales across the wholesale economy, and the only way to get it right is to underwrite buyers more accurately than anyone else in the industry. Listen to the Visa episode of the Acquired podcast to learn how credit card networks did this for retail trade. 

We think we're uniquely positioned to do this. Through Lighthouse, we're building a live, reciprocal trade-credit bureau: vendors on our network contribute real-time payment behavior on a long tail of SMB buyers that no traditional bureau sees. That data — combined with the bank, ERP, and transaction signals already flowing through Wholesail — is a modeling dataset that doesn't exist anywhere else. The first MLE on this team gets to decide what we build with it.

The problems are real and the stakes are significant. Our models directly shape the terms buyers are offered and the losses Wholesail and our capital partners absorb. There's no established playbook here and no legacy stack to inherit — you'll be setting the direction for how we do modeling, data engineering, and production ML at Wholesail for years to come.

The Role ⚒️

As the founding MLE on the Risk Engineering & Capital Products team, you'll own credit risk modeling end-to-end — from problem framing and data pipeline design, through model development and validation, through production serving and monitoring. You'll work directly with the hiring manager, our engineering and product leadership, and our hands-on advisor Dan Massoni (former Chief Commercial Credit Officer of American Express) to decide what to build, explore features to model and how you’ll scale our approach risk scoring. .

Expect your work to span:

• Modeling. Design, build, and validate credit risk models (PD, LGD, EAD, fraud, exposure sizing, pricing) against our proprietary reciprocal-bureau data and external signals. Choose the right tool for the job — gradient-boosted trees, deep models, LLMs, or classical statistical models — and defend the choice.
• Data engineering. Build the pipelines, feature logic, and training datasets that your models (and future models) run on. At this stage, the MLE owns the full data path; over time we'll grow a team around you.
• Productionization. Ship models into production systems where they make real decisions on real dollars. Own deployment, monitoring, drift detection, and iteration.
• Partnering cross-functionally. Work closely with product, engineering, capital markets, and external lending and insurance partners. Explain your models to people who care about the outcomes but not the math, and translate their constraints back into modeling decisions.
• Shaping the team. Help define the hiring bar and interview process for the data scientists and MLEs who will join after you. You'll have a strong voice in what this team becomes.

Qualifications

• 5+ years of experience building models for production use cases.
• Deep modeling skill: strong command of supervised learning on tabular data, including feature engineering, model selection, hyperparameter tuning, calibration, and rigorous offline and online evaluation.
• Strong data engineering skills — comfortable owning ETL and feature pipelines end-to-end against real, messy production data (SQL and a modern data-processing stack).
• Proficiency in Python and the modern ML ecosystem (pandas, scikit-learn, PyTorch or TensorFlow, XGBoost/LightGBM, Jupyter, etc.).
• Solid statistical reasoning — you can spot leakage, selection bias, label noise, and spurious correlations, and you know why your offline metric doesn't always predict online performance.
• Track record of owning models end-to-end: not just prototyping in a notebook, but taking something from a problem statement to a production system that makes decisions.
• Excellent written and spoken English communication skills; ability to explain model behavior, tradeoffs, and limitations to non-ML audiences (product, ops, capital partners, leadership).
• The spirit of a team player who believes in fostering a healthy and supportive work environment.

Bonus Qualifications

• Direct experience in credit risk modeling — PD/LGD/EAD models, scorecards, underwriting models, exposure management, or collections modeling — particularly for SMB or subprime segments.
• Experience in fintech, lending, payments, fraud, or insurance, or with regulated modeling environments (model risk management, adverse action, fair lending).
• Experience building or operating ML platform components — feature stores, model registries, training orchestration, online serving, monitoring/drift detection.
• Backend engineering depth: comfortable writing production services, designing APIs, and reasoning about distributed systems that consume your models.
• Strong data analysis background — fluency in exploratory analysis, experimentation, and translating data into product and business decisions.
• Experience with LLMs and agentic systems applied to operational problems (document understanding, KYB, entity resolution, agent tooling).
• Experience as the first or founding ML hire at a company, or early on a team that had to build ML infrastructure from scratch.
• Published research, Kaggle placements, or prominent OSS contributions in the ML or data ecosystem.
• BA or BS in Computer Science, Statistics, Mathematics, a related technical field, or equivalent practical experience.
• Advanced degree (MS or PhD) in a quantitative field.

Equal Employment Opportunity

Wholesail is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, national origin, sex, gender identity or expression, sexual orientation, age, marital status, veteran status, disability status, pregnancy, or any other characteristic protected by federal, state, or local law. Employment decisions at Wholesail are based on qualifications, merit, and business needs. We encourage applicants from all backgrounds to apply.

About this role

We are looking for an experienced Senior Business Intelligence Analyst to scale a critically important function responsible for building and maintaining systems, processes and services that enable us to understand financial performance and unlock key business insights at Faire. The ideal candidate for this role will ensure key accounting procedures are automated in ways that are accurate, efficient, easy-to-understand, and scalable. This role will sit in the Finance department and collaborate with team members from a breadth of functional groups across Faire, including Accounting, Finance & Strategy, Engineering and Data Infrastructure. This role will have a tremendous impact on the ability for Faire employees to use data effectively in order to report numbers externally and make impactful decisions internally. As an early member of a burgeoning team, you will have the opportunity to write the roadmap for how we improve access to business critical data and unlock automation that amplifies the impact of a variety of functions. 

What you’ll do 

• Scope, design, create, and manage complex ETL flows that aggregate and synthesize key business performance metrics and financial reporting, ensuring efficient, accurate, and scalable data models using best practices 
• Act as a trusted analytical partner to the Accounting and Finance teams providing technical expertise, gathering requirements from product and operational teams, and enabling data-driven decision-making and accountability by ensuring core ledgers accurately reflect business changes 
• Collaborate closely with Engineering, Data Infrastructure, and other stakeholders as a key translator and process improver, gathering requirements and delivering impactful data solutions that ensure alignment and efficiency across the organization 
• Lead initiatives to drive data strategy, roadmap planning, and prioritization, ensuring alignment with business objectives 
• Act as a thought leader to expand the team’s influence and impact throughout the Finance team and the broader organization 
• Drive workflow automation and innovation across Finance, including identifying and implementing Gen-AI–enabled productivity solutions to modernize processes and increase team leverage

Qualifications

• 5+ years of work experience in Business Intelligence, Analytics Engineering, Data Analytics, or comparable function 
• Expert in SQL with focus on data modeling, large-scale data processing, and tool development for analytics or Financial use cases. 
• Experience and knowledge of data warehousing concepts, ETLs, big data technologies, and analytics platforms 
• Experience with analytics workflow tools (examples: Airflow, Docker, dbt), data warehousing and storage (examples: Snowflake, BigQuery, Redshift, S3), and data visualization tools (examples: Mode, Tableau, Looker) 

Nice to have: 

• Experience with Python, R or other programming languages 
• BA/BS degree, ideally in computer science, math or another quantitative field 
• Familiarity with version control using Git and proficiency in command-line tools for workflow automation and data manipulation

Salary Range

San Francisco and New York: The pay range for this role is $174,500 to $240,000 per year. 

This role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change and may be modified in the future.

We want people who are passionate about troubleshooting complex problems with systems, networking and storage at scale.

We are looking for a seasoned system administrator to help us keep the cloud running smoothly. Reporting to the manager of Cloud Operations, the GPU Operations Engineer monitors and provides first-response to all cloud health issues that impact, or could potentially impact, customer experience - internal or external. You will interface with teams across the organization to research and troubleshoot issues from single droplets to cloud-wide disturbances. Our workweek spans five days, and that may involve working on weekends.

What You'll Be Doing: 

• Ensuring maximum uptime for our global infrastructure
• Automating processes and building tools to improve operational efficiency
• Coordinating operational work across teams to improve the platform with minimal impact

What You'll Add to DigitalOcean:

• Solid experience with Linux operating systems or Networking and day to day upkeep
• Familiarity with virtualization technologies and troubleshooting virtual machine instances
• Familiarity with containerization technologies and troubleshooting containers
• Familiarity with IPv4 Networking and troubleshooting (CCNA equivalent)
• Basic storage concepts and technologies
• Experience with monitoring systems and incident management
• Experience scripting in one or more of the following languages: Bash, Python, or Go
• Experience with GPU hardware or AI/ML, and Kubernetes
• A passion for good documentation and open communication
• Proven ability to learn!

Compensation Range: 

• $107,000 - $134,000

*This is a remote role

JR: 2026-7423

#LI-Remote

• Help design, train, with a focus towards deploying onboard machine learning models that improve the performance/latency of the Kodiak autonomy stack which includes quantization, pruning, converting to ONNX/TensorRT, custom GPU kernels and profiling.
• Help identify and achieve parity between onboard and deployed offboard models using validation on HIL 
• Collaborate with cross-functional teams including perception, planning, simulation, and autonomy infrastructure to integrate ML models into production systems.
• Analyze real-world driving logs to identify edge cases and improve model robustness and safety.
• Use profiling tooling to additionally help improve the train time for models by identifying and removing bottlenecks.
• Contribute to the development of scalable AI infrastructure that supports continuous learning and deployment across Kodiak’s fleet.

• MS or PhD in Computer Science, Robotics, Machine Learning, or a related technical field, or equivalent practical experience.
• 6+ years experience deploying machine learning or deep learning systems in production environments.
• Proficiency in Python, C++ and modern ML frameworks such as PyTorch or TensorFlow.
• Experience working with large-scale distributed training systems.
• Solid understanding of optimization, and machine learning fundamentals.
• Strong software engineering fundamentals including testing, debugging, and system design.
• Ability to work collaboratively across teams to solve complex autonomy and robotics challenges.

What we offer:

• Competitive compensation package including equity and annual bonuses
• Excellent Medical, Dental, and Vision plans through Kaiser Permanente, Cigna, and  MetLife (including a medical plan with infertility benefits)
• MetLife Legal Services, Identity & Fraud Protection, Hospital Indemnity Insurance, Accident Insurance, & Critical Illness Insurance
• Flexible PTO, 10 paid holidays, and generous parental leave policies
• Our office is centrally located in Mountain View, CA
• Office perks: dog-friendly, free catered lunch, a fully stocked kitchen, and free EV charging
• Long Term Disability, Short Term Disability, Life Insurance
• Wellbeing Benefits - Headspace through Cigna, Calm through Kaiser, One Medical, Gympass, Spring Health through Cigna, Rula (mental health navigation) 
• Fidelity 401(k)
• Commuter, FSA, Dependent Care FSA, HSA
• Various incentive programs (referral bonuses, patent bonuses, etc.)

As a Gong Sales Development Representative, you'll play a key role in generating new business opportunities for the company and be a part of building a world-class sales development organization at a category-defining tech company.

RESPONSIBILITIES

• Raise awareness and generate interest for Gong through cold calling, emails, and social outreach to prospective customers
• Schedule initial discovery calls for Account Executives
• Meet or exceed assigned daily activity minimums of 80-100 activities
• Manage your own book of accounts and set the strategy for effective book management
• Become a power user of Gong's platform
• Provide constructive feedback on how to improve effectiveness and efficiency within the SDR role to SDR Managers and Sales Enablement
• Collaborate with team members to share and learn from best practices

QUALIFICATIONS 

• You are located within commutable distance from San Francisco
• You are able to be in a Gong office 3x per week (Monday, Tuesday, Thursday)
• Have sold in the past or have a passion for sales or sales leadership
• Excellent verbal and written communication skills
• You have a high degree of resilience, enabling you to bounce back from setbacks
• You possess a player mindset; you strive to grow and develop and never back down from a challenge
• Your work ethic is unmatched- anything you don't know you'll make up with hard work
• You're extremely coachable and willing to receive and implement feedback

PERKS & BENEFITS 

• We offer Gongsters a variety of medical, dental, and vision plans, designed to fit you and your family’s needs.
• Wellbeing Fund - flexible wellness stipend to support a healthy lifestyle.
• Mental Health benefits with covered therapy and coaching.
• 401(k) program to help you invest in your future.
• Education & learning stipend for personal growth and development.
• Flexible vacation time to promote a healthy work-life blend.
• Paid parental leave to support you and your family.
• Company-wide recharge days each quarter.
• Work from home stipend to help you succeed in a remote environment.

The annual OTE for this position is $90,000 USD. 

Compensation is based on factors unique to each candidate, including, but not limited to, job-related skills, qualification, education, experience, and location. At Gong, we have a location-based compensation structure, which means there may be a different range for candidates in other locations. The total compensation package for this position, in addition to base compensation, may include incentive compensation, bonus, equity, and benefits. Some of our sales compensation programs also offer the potential to achieve above targeted earnings for those who exceed their sales targets. 

We are always looking for outstanding Gongsters! So if this sounds like something that interests you regardless of compensation, please reach out. We may have more roles for you to consider and would love to connect.

We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Gong recruiting email communications will always come from the @gong.io domain. Any outreach claiming to be from Gong via other sources should be ignored.

Gong is an equal-opportunity employer. We believe that diversity is integral to our success, and do not discriminate based on race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, military status, genetic information, or any other basis protected by applicable law.

To review Gong's privacy policy, visit https://www.gong.io/gong-io-job-candidates-privacy-notice/ for more details.

#LI-RN1

About this role

The Lead Creative Producer will own and scale Faire’s end-to-end creative production for global marketing campaigns. This role blends hands-on execution with strategic planning to ensure campaigns are delivered with clarity, speed, and creative excellence from concept through launch.

You will define and elevate how campaigns are produced—establishing scalable processes, improving cross-functional alignment, and driving operational rigor across Creative, Marketing, Growth, Product, and external partners. As the connective tissue across teams, you bring structure to complexity, guide high-stakes work with sound judgment, and ensure creative integrity at every stage.

Campaigns span concept development through asset production across film, video, photography, audio, motion/animation, and 3D—integrated into cohesive, multi-channel launches. The scope also includes localization, licensing, and legal/regulatory compliance, ensuring global readiness is built into production from the start.

By orchestrating work across mediums, partners, and markets, this role will formalize the operating standard for campaign production at Faire.

What you’ll do 

• Deliver high-impact, integrated global campaigns from concept through launch—on time, on budget, and at a high creative bar
• Create clear production strategies that align scope, timelines, and resourcing—reducing friction and accelerating execution
• Drive strong cross-functional alignment across Creative, Marketing, Growth, Product, and agency partners, ensuring decisions are timely and teams stay focused
• Build review and approval frameworks that improve clarity, speed, and creative quality
• Make thoughtful trade-offs that protect campaign impact while navigating ambiguity and competing priorities
• Steward production budgets and vendor partnerships to maximize value and efficiency
• Design and evolve scalable workflows that increase velocity without compromising craft
• Identify and eliminate systemic inefficiencies, leaving the organization stronger after every campaign
• Ensure every asset meets a high standard for creative excellence, technical precision, and launch readiness
• Provide leadership with clear visibility into progress, risks, and recommendations—enabling confident decision-making

Qualifications

• 6–8+ years of experience in creative production, campaign operations, or agency leadership
• Proven track record leading large-scale, multi-channel campaigns across digital, video, social, paid, and owned channels
• Deep fluency in end-to-end creative workflows and production ecosystems
• Experience operating at a leadership level as a highly accountable individual contributor
• Demonstrated ability to balance strategic thinking with hands-on execution, connecting long-term vision to day-to-day delivery
• Strong operational rigor, creative judgment, and taste
• Experience developing, optimizing, and scaling systems, tools, and workflows for creative and production operations
• Track record of driving operational change and aligning cross-functional teams to a shared strategic direction
• Highly organized and structured, with the ability to apply process pragmatically to move work forward
• Exceptional cross-functional influence skills, with the ability to drive alignment and make decisions without direct authority
• Calm, decisive presence in high-pressure, high-visibility environments