As a principal engineer on the Online Systems team, you’ll join a team that powers Pinterest’s most business-critical online systems at massive scale, driving the reliability, efficiency, and evolution behind every core Pinner and Advertiser experience. You'll lead major efforts like multi-region deployment and Kubernetes migration, set the standard for operational excellence, and define the long-term vision for our online serving infrastructure, supporting machine learning and product innovation across the company. This is an opportunity for high-impact technical leadership, broad visibility, and cross-functional influence at the heart of Pinterest’s platform.

What you’ll do: 

• Improve reliability, scalability and infra efficiency for Pinterest’s critical online systems across storage and caching, online service and realtime analytics systems to support continued business growth.
• Lead cross-functional strategic initiatives to modernize Pinterest’s online serving stack through multi-region deployment, Kubernetes migration, and the adoption of cutting-edge technologies and industry best practices.
• Quality champion for online systems and the broad engineering organization, holding a high bar on execution quality and operational excellence.
• Drive the online systems vision and strategy for the next 3 years and beyond, and translate that strategy into cross-functional roadmaps with measurable outcomes.
• Foster a diverse and inclusive engineering culture that makes all feel welcome, and invest in mentorship, critical thinking, and candid feedback to strengthen individual and organizational growth.
  
  

What we’re looking for:

• 12+ years of software engineering experience with deep expertise in distributed systems, especially online serving, storage, and caching systems: hands-on experience building and operating highly available, reliable, production-grade systems at large scale; strong technical judgment in reliability, scalability, performance, and infrastructure efficiency; proficiency in at least one of C++, Java, or Python.
• Proven track record driving large-scale technical impact: experience leading reliability and scalability improvements, cost efficiency initiatives, and modernization efforts across critical production systems; able to define technical strategy, influence architecture decisions, and drive execution through cross-functional collaboration, strong communication, and operational excellence.
• Strong ownership, quality mindset, and thoughtful use of AI: demonstrates high standards for engineering quality, integrity, and accountability for final outcomes; able to use AI to accelerate analysis, debugging, design exploration, or operational workflows while applying critical thinking, validating correctness, and maintaining sound technical judgment rather than outsourcing ownership to tools.
• Exceptional collaboration skills with cross-functional partners, with the ability to navigate ambiguity, make tradeoffs, and keep stakeholders aligned on priorities and progress.
• Bachelor’s degree in Computer Science, a related technical field, or equivalent experience.
  
  

Relocation Statement: 

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

In-Office Requirement Statement: 

• We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
• This role will need to be in the office for in-person collaboration 1-2 times per quarter and therefore needs to be in a commutable distance from one of the following offices: PA or SF offices.

#LI-HYBRID

#LI-CL5

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

About the role

At Thatch, weʼre on a mission to build a healthcare system people love. Thatch has found early product-market fit and is scaling rapidly. With strong traction through brokers and payroll partners, the company is now ready to build a modern, unified marketing engine to expand its reach, elevate its brand, and accelerate direct demand.

As our Head of Marketing, youʼll be the steward of our marketing vision and execution. Youʼll lead a growing team of exceptional demand generation experts, brand, content, and product marketing managers. Youʼll partner closely with product and engineering, design, and GTM, and will work directly with the CEO to market a platform that serves employers, employees, brokers, and partners. 

We believe great products start with care: care for the user, care for the craft, and care for the systems we're building. You'll bring taste, product intuition, and high standards to everything you touch - while helping the entire team do the same. This role is highly cross-functional and strategic, and weʼre looking for someone who thrives in ambiguity, translates complexity into clarity, and pushes the work - and everyone around them - to be better.

Deadline to apply: None. Applications will be reviewed on a rolling basis. 

About the role

Benefits is a core expression of how we support Ants and their families, now and over the arc of their lives. Our Benefits function has scaled to a global program covering thousands of employees across multiple regions in just over two years, and we are now adding additional depth to match that breadth.

We are hiring a senior individual contributor to anchor a major piece of our global program. The role is shaped to fit the strongest candidate's regional expertise. You will primarily own one of two scopes:

• Americas: US health and welfare strategy, leading our evaluation of a potential move to self-funding, owning our Canada program, and stewarding readiness to extend benefits across the Americas as our footprint grows.
• International: End-to-end international benefits ownership across EMEA and APAC, leading new entity launches and managing the full program lifecycle in regions where Anthropic has a growing presence.

Both versions of this role share the same level, the same reporting line, and the same core competencies. We will identify which scope fits best during the interview process based on where your hands-on experience and strongest interests lie.

This is a builder role. You will design programs where infrastructure does not yet exist, run broker selections, negotiate carrier terms, and stand up audit-ready operations across multiple jurisdictions.

You will report to the Head of Benefits and partner closely with our Senior Benefits Partner.

Key responsibilities

Regardless of regional anchor, you will:

• Own end-to-end benefits program management for your region, including design, vendor selection, broker management, implementation, renewals, and the day-to-day employee experience
• Manage carrier and vendor relationships, holding them accountable to contracted service standards
• Partner with Payroll, People Operations, Legal, and Finance to keep programs compliant, well-administered, and auditable
• Triage and resolve escalations across time zones, including carrier disputes and claims advocacy
• Draft clear, compliant employee-facing communications for enrollment, renewals, and policy changes
• Bring benchmarking and market intelligence to bear on program design, with a clear point of view on what Anthropic should do, not only what the market does

If you anchor in Americas, you will additionally:

• Own US health and welfare program strategy across medical, dental, vision, life, disability, and ancillary lines
• Run the full annual US renewal cycle, including market strategy, carrier negotiations, and open enrollment execution
• Lead the evaluation and potential transition to self-funding, partnering with Finance on stop-loss structure, claims forecasting, and reserve modeling
• Own our Canada benefits program end-to-end, including renewals and provincial compliance
• Steward Anthropic's readiness to launch in additional Americas markets as our footprint grows
• Build finance-facing reporting: monthly claims analysis, PEPY and PEPM tracking, budget versus actual, and forward-looking projections in partnership with FP&A
• Own US compliance operations: ACA, ERISA, Section 125, non-discrimination testing, 5500 filings, and audit readiness

If you anchor in International, you will additionally:

• Lead end-to-end launches in new entity countries, from local-market scoping and broker selection through carrier negotiation, employee communications, and go-live
• Own the Benifex global platform rollout for assigned countries and ensure clean integration with Workday as the system of record
• Manage statutory and supplementary benefits across multiple EMEA and APAC markets, including pension, GLTD, GPA, and country-specific health and welfare programs
• Partner with the Head of Benefits to shape the international roadmap

Minimum qualifications

• Direct experience launching, redesigning, or financially stewarding a benefits program at scale
• Strong vendor and broker management skills, with a track record of holding carriers and brokers accountable to contracted terms
• Strong written communication and the ability to make nuanced tradeoffs legible to non-benefits stakeholders
• Comfort operating in ambiguity and building infrastructure where none exists

Preferred qualifications

• 7+ years of benefits experience, with deep regional ownership in either US health and welfare (with bonus for Canada) or international markets across EMEA and APAC
• A track record of using AI tools to make benefits operations, employee self-service, or stakeholder communications materially better
• Strong instincts for benefits as a strategic lever within total compensation, not as an operational cost center
• Cross-regional exposure beyond your primary anchor (e.g., a US benefits leader who has also stood up programs in Canada or internationally, or an international benefits leader who has owned US health and welfare for a US-headquartered company)
• Direct experience supporting or leading a self-funding transition
• Fluency with Workday and global benefits administration platforms (Benifex, Darwin, or similar)
• A track record of building benefits programs that hold up under audit, controls review, and external scrutiny

About the Team

The Discovery team is organized around the north star of building an AI scientist — a system capable of solving the long-horizon reasoning challenges and core capabilities needed to push the scientific frontier. The team trains large-scale models, runs complex multi-week experiments, and builds novel products at the intersection of AI and science.

About the Role

As a Technical Program Manager on the Discovery team, you will own the systems and programs that determine how fast our research moves: compute planning, scientific RL environment health, and the vendor pipelines that supply them, with scope to incubate new programs in domains like bio R&D. Strong candidates should have an ML engineering or research background and have grown into program leadership. You'll need real technical depth: the ability to debug data pipelines, read RL transcripts to spot issues, and make allocation and quality decisions in real time when experimental or production runs hit problems. You'll need organizational effectiveness in equal measure: the ability to navigate a fast-growing organization, quickly identify the critical people and teams across research, infrastructure, product, and data operations, and coordinate across them without losing velocity.

Join us in our mission to build AI systems that push the frontiers of science and benefit humanity.

Responsibilities

• Manage Discovery's compute planning across supervised learning (SL), reinforcement learning (RL), and sandboxing workloads, including forecasting, allocation, prioritization, and efficiency improvements. Partner with central compute planning to ensure Discovery's needs are represented and met.
• Monitor the health of scientific RL environments (quality, reward integrity, failure rates) and drive issues to resolution.
• Expedite the external vendor pipeline for RL environments, including quality review, reward design, and production integration.
• Work with research teams across life sciences, STEM, and other scientific domains to translate research goals into roadmaps that advance AI scientist capabilities.
• Establish processes and frameworks that bring structure to an unstructured research setting without slowing researchers down.
• Collaborate with research leads, infrastructure engineers, and data operations to identify blockers, prioritize competing needs, and make technical trade-off decisions.

You May Be a Good Fit If You:

• Have a background in ML engineering, ML research, or STEM R&D before transitioning to technical program management
• Have deep, hands-on experience with ML training pipelines, RLHF systems, and large-scale data infrastructure in production.
• Have a track record of building execution plans and inventing high-leverage processes that reduce operational overhead and let researchers focus on research.
• Are a fast learner who builds deep contextual understanding in unfamiliar technical domains and can contribute meaningfully to discussions with researchers.
• Are resourceful, high-agency, and able to navigate ambiguity and shifting priorities to drive progress in a fast-moving research setting
• Have excellent stakeholder management and communication skills, with the ability to influence senior technical staff through clarity, competence, and consistent delivery.
• Are excited about the potential for AI to accelerate scientific discovery

About the team 

The Capacity & Efficiency team sits inside Anthropic’s Compute organization and owns the cost, utilization, and attribution story for non-accelerator infrastructure — the network, compute, and storage backbone that moves petabytes between training clusters, inference fleets, and object storage across clouds and regions. The scale is real, the spend is large, and the efficiency levers are still mostly unpulled.

We work alongside the Systems Networking team (who build and operate the fabric) and the Observability team (who own the telemetry platform). This role lives at the intersection: you’ll use deep networking knowledge and rigorous measurement to figure out where and how bandwidth, latency, and dollars are being used, find optimization opportunities and land them.

About the role

We’re looking for a network engineer who thinks in metrics first. You understand spine-leaf fabrics, BGP, SDN overlays, and cloud interconnect products well enough to build them. You will instrument them, model their cost-per-bit, and squeeze out the inefficiency, while ensuring we can move the bits to the right places in the most efficient manner. You’ll own the observability and efficiency surface for Anthropic’s network: from per-flow telemetry on backbone routers, to cost attribution that tells a research team exactly what their checkpoint sync is costing.

This is a hands-on IC role. You’ll write code (Python, Go), build dashboards and model capacity. You’ll also influence architecture: when the data says a traffic pattern is pathological, you’ll be in the room root causing it and fixing it. 

You will be working across three areas: network telemetry, observability and cost modeling and attribution. We expect you to be strong in at least two and willing to grow into the third. If you're a telemetry-first engineer who's never built a chargeback model, or a traffic engineer who hasn't shipped eBPF probes, apply anyway and tell us which axis you want to grow on.

What you’ll do

• Build the network observability stack. Design and deploy telemetry pipelines — sFlow/IPFIX, gNMI streaming, eBPF host probes — that turn packet counters into per-flow, per-tenant, per-workload cost and utilization data. Own the SLIs for backbone and DCN fabric health.

• Hunt for efficiency. Analyze inter-region traffic patterns, identify hot links and stranded capacity, and quantify the dollar impact. Build the models that tell us whether we should buy more capacity, or move the workload.

• Own QoS and traffic engineering. Design and operate traffic classification, marking, and shaping across the backbone. Make sure bulk checkpoint transfers don’t starve latency-sensitive inference, and that we’re not paying premium cross-region rates for traffic that could take the cheap path.

• Drive cost attribution. Tie network spend — egress, interconnect ports, transit, optical leases — back to the teams and workloads that generate it. Make network cost a first-class input to capacity planning and workload placement decisions.

• Influence decisions you don't own. A large fraction of this role is convincing other teams to act on what your data shows: making the case to research that a traffic pattern needs to change, to finance that an interconnect tranche is worth buying, to Systems Networking that a QoS policy needs rewriting. You'll partner closely with Systems Networking on fabric architecture and Observability on telemetry platform integration, but the cost and efficiency wins will come from moving teams that don't report to you.

• Automate. Extend our intent-based network configuration systems and write the tooling that turns your efficiency findings into safe, reviewable, and impactful changes.

You may be a good fit if you

• Have 5+ years operating large-scale production networks — data center fabrics (spine-leaf, Clos), backbone/WAN, or hyperscaler-adjacent environments. 

• Are genuinely fluent across the stack: BGP (including policy and communities), ECMP, VXLAN/EVPN or equivalent overlays, QoS (DSCP, queuing, shaping), and L1/optical basics (DWDM, coherent, LAGs).

• Know at least one major CSP’s networking model deeply — AWS (VPC, TGW, Direct Connect, Gateway Load Balancer) or GCP (Shared VPC, Interconnect, Cloud Router, Network Connectivity Center) — and understand how their overlays interact with physical underlays.

• Have built or operated network telemetry at scale: streaming telemetry (gNMI/OpenConfig), flow export (sFlow, IPFIX, NetFlow), or eBPF-based host-side instrumentation. You can reason about sampling, cardinality, and storage tradeoffs.

• Comfortable writing Python or Go to build tooling, telemetry pipelines, infrastructure-as-code, config management for network devices and automation, that you’ll ship to production.

• Think quantitatively by default. You reach for a notebook or a Grafana query before you reach for an opinion, and you can turn messy counter data into a defensible cost model.

• Communicate crisply. You can explain to a finance partner why a 10% egress reduction matters, and to a network engineer why a specific ECMP imbalance is costing real money.

Strong candidates may also have

• SRE experience for large-scale network infrastructure — designing for reliability, defining SLOs/SLIs for network services, capacity planning with error budgets, and incident response for network-impacting outages at scale.

• Background on a cloud provider's networking team or a cloud networking product team — building or operating the interconnect, backbone, or SDN control plane from the provider side, not just consuming it as a customer.

• Familiarity with AI/ML infrastructure traffic patterns like collective communication (all-reduce, all-gather), checkpoint/weight transfer, inference serving, and how these stress networks differ than traditional workloads in terms of burst behavior, flow synchronization, and bandwidth symmetry.

• Experience with HPC fabrics like InfiniBand, RoCE v2, lossless Ethernet, or custom high-radix topologies and an understanding of how job placement, congestion management, and adaptive routing interact at scale.

• Background in traffic engineering for large backbones and the operational judgment to know when TE is worth the complexity.

• Hands-on time with multi-cloud connectivity: cross-cloud peering, private interconnect products, and the billing models that come with them.

• Experience building cost/chargeback systems for shared infrastructure, or FinOps exposure in a large cloud environment.

Representative projects

• Build a per-flow cost attribution pipeline that traces every byte of cross-region egress back to the team and workload that generated it

• Design QoS policy for the private backbone that prevents bulk checkpoint transfers from starving inference traffic

• Model whether it's cheaper to buy an additional 1.6Tb interconnect tranche or to re-route traffic through existing capacity

• Instrument DCN fabric utilization with streaming telemetry and build the Grafana dashboards that become the team's source of truth for network observability 

Why this role, why now

Anthropic’s network footprint is growing faster than our ability to reason about it. We’re turning up tens of terabits of private backbone capacity, peering across clouds, and moving model weights that keep getting larger. The efficiency opportunities are enormous and largely untouched — this is a chance to build the measurement and optimization layer from the ground up, with real budget impact and direct influence on how Anthropic’s infrastructure scales.

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

The Payments Intelligence organization optimizes each of the billions of dollars of transactions processed by Stripe annually on behalf of our users, maximizing successful transactions while minimizing payment costs and fraud. We own products like Radar, Authorization Boost, and Disputes, building fast and scalable services and creating intuitive user experiences. We serve real-time predictions as part of Stripe’s payment infrastructure and architect controls that leverage ML to optimally manage users’ business.

What you’ll do

As a Product Lead on the Payments Intelligence team, you’ll be responsible for scoping, designing, and building intuitive features that help users maximize their revenue while minimizing their cost while shaping our intelligence platform. You will partner with many functions at Stripe, with the opportunity to both work on infrastructure/platform systems, as well as produce direct user-facing business impact.

Day to day you’ll be working closely with a team of engineers and data scientists. You’ll collaborate with peers in Design, Product Marketing, Partnerships and many others to craft the vision for our Payments Intelligence products. 

Responsibilities

• Develop the long-term vision and strategy for our Payments Intelligence products, prioritize accordingly, and create an execution roadmap
• Deeply understand our users’ needs by spending time with developers, sales, and support, and by observing patterns/trends across their feedback, the market, and our data
• Build and launch new capabilities and products that bring significant value to customers
• Set the pace, prioritization and execution for the team
• Work with a wide range of systems, processes and technologies to own and solve technical and product problems
• Collaborate with stakeholders across the organization such as Engineering, Design, Data Science, Marketing, Sales, Account Management, and Operations 
• Build and coach your team on best practices in defining product requirements and how to deliver against those requirements and the overall roadmap 

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:

• Product Management experience: 10+ years of relevant experience
• 4+ years of experience managing Product Managers
• Strong business acumen: You enjoy digging into the details of how a business works, identifying how to make it better, and building product/technical solutions to do so
• Customer and Partner facing experience: You’re comfortable in front of customers or third-party collaborators, and have experience navigating customer conversations
• Operational savvy: You are strong operationally, capable of designing and driving a cross-functional team and process
• Analytical horsepower: You dig deep into the data, think from user first principles, and deliver the right results
• Crisp communicator: High attention to detail including precise and effective communications, including with external customers/partners
• Results-oriented: You enjoy doing whatever it takes to execute on complex projects 

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

The Stream Compute team at Stripe builds and operates the infrastructure, tooling, and systems behind our Flink-powered stream processing systems. We're at the heart of several core asynchronous workflows, operating at significant scale and handling vast amounts of sensitive financial data. Our work powers intricate processes involving various critical financial operations and real-time analytics. We run globally distributed systems with high reliability and performance to meet Stripe's scaling, availability, and product needs, and we continually reduce operational toil by investing in automation and self-service tooling for upgrades, maintenance, and day-to-day operations. The team is distributed between Seattle, Toronto and remote locations.

What makes our team truly exciting is our commitment to our users: we ensure no event is dropped, state integrity is preserved, and support exactly-once processing as a first-class feature. Working at the intersection of real-time data processing and fintech innovation, we continuously push the boundaries of what's possible. Our focus on innovation, user experience, reliability, and compliance drives increased ROI and operational excellence, making us a crucial part of Stripe's success.

What you'll do

You'll help define and deliver the next generation of Stripe's Flink-first stream compute infrastructure—driving innovation to meet extremely high availability targets at global scale. Partnering with infrastructure engineers, adjacent platform teams, and the product orgs that depend on Flink every day, you'll set a long-term technical direction that scales with Stripe's growth while enabling reliable, efficient operations for years to come. You'll work on the hardest problems in operating Flink in production—state management, exactly-once processing, performance isolation, and automated recovery—so teams across Stripe can confidently build stateful stream processing applications on top of it.

Responsibilities

• Design, build, and operate stream compute infrastructure with Apache Flink at the center, alongside technologies like Kafka, Temporal, and AWS services
• Partner with product and platform teams across Stripe to understand requirements, unblock Flink adoption, and improve how stream processing infrastructure is used end-to-end
• Define and implement operational best practices (e.g., shuffle sharding, cellular architecture, load shedding, automated state recovery) to improve resilience and reliability at scale
• Drive fleet-level automation and standardization ("pets" to "cattle") through self-service workflows, safer rollouts, and self-healing systems that reduce manual operations
• Lead initiatives that raise the bar on Flink availability and state durability (e.g., multi-region strategies, disaster recovery readiness, operational readiness reviews, incident learning)
• Evaluate and productionize Flink ecosystem capabilities (e.g., SQL, connectors, state backends) to improve developer experience and scalability without compromising reliability
• Work closely with the open source community to identify opportunities for adopting new open source features as well as contribute back to OSS

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

• This is a Staff-level role - that typically means 10+ years of experience building, operating, and evolving large-scale production systems
• Experience as a technical lead for team(s) working on distributed systems, including scaling them in fast-moving environments
• Hands-on experience with big data technologies such as Flink, Spark, Kafka, Pulsar, or Pinot
• Experience developing, maintaining and debugging distributed systems built with open source tools
• Experience building and scaling infrastructure as a product
• Strong software engineering skills and a passion for Big Data Distributed Systems
• Ability to write high quality code (in programming languages like Go, Java, Scala, etc)
• Comfortable operating with high autonomy and ownership
• Growth mindset and a willingness to learn quickly, explore ambiguous problem spaces, and dive deep when needed
• Strong written and verbal communication skills, including the ability to produce clear technical documentation

Preferred qualifications

• Experience operating streaming infrastructure as a platform (e.g., Flink clusters, Kafka, Pulsar) for internal customers at scale
• Deep hands-on experience authoring, optimizing, and operating real-time processing frameworks such as Flink, Spark Streaming, Storm, or Kafka Streams in production
• Experience building or operating control planes for managing large-scale infrastructure
• Open source contributions to data processing or big data systems (Hadoop, Spark, Celeborn, Flink, etc)

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

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

The Finance & Strategy team is a key thought partner to Stripe’s product leaders. We bring financial rigor, strategic clarity, and analytical depth to the decisions that shape Stripe’s product portfolio and long-term growth strategy.

The Connect & Crypto F&S team sits at the intersection of two dynamic and high growth product areas. Connect is a scaled and complex product that powers Stripe Platform and Marketplace ecosystems. Crypto is a newer product area with rapidly evolving market dynamics focused on stablecoin markets. Together, these products require a finance leader who can operate across different stages of maturity, bring structure to complexity, and drive financial outcomes in an ambiguous environment. 

What you’ll do

We're seeking a seasoned finance leader to lead our Connect and Crypto F&S team. You’ll partner with the heads of product for Connect and Crypto, acting as a trusted financial and strategic advisor. You’ll lead a team that delivers the revenue forecasting, pricing and unit economic analysis, investment frameworks and strategic insights that enable these products to scale. You’ll translate complex financial analysis into clear insights for senior leadership. You’ll build the analytical infrastructure, including leveraging AI and tooling, to ensure this team best-in-class financial insights and analysis.

Responsibilities

• Own revenue forecasting and performance management across Connect and Crypto, including volume trends and unit economics. Develop and maintain integrated financial models that reflect underlying product drivers.
• Establish and maintain key business metrics and KPIs to measure performance of new and existing products. Present performance in business forums, highlighting drivers, risks and actionable insights.
• Drive strategy and decision-making by bringing rigorous financial analysis and product and industry expertise to help product leaders evaluate tradeoffs and shape strategic roadmaps.
• Lead the quarterly forecast and annual strategic financial planning process. Develop long range financial models with scenario analysis and actionable recommendations on growth, monetization and where to prioritize investments.
• Serve as a key contributor to key business reviews and leadership forums, translating complex product economics into clear insights for executive audiences.
• Build, lead and develop a high performing team of finance & strategy partners. Align and scale the team to support product growth.
• Drive process improvement and analytics scalability, partnering cross-functionally to evolve data infrastructure, reporting and analytics. Identify opportunities to leverage AI and automation to enable the team to operate at the leading edge of financial analysis. 

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

• 12+ years of relevant experience in product finance, strategic finance or FP&A, preferably at a high growth payments, fintech, marketplace/platform, or enterprise SaaS business
• Deep experience in revenue-oriented financial modeling (e.g. pricing analysis, unit economics, volume/take-rate forecasting, deal economics) with the ability to architect complex, integrated models
• A proven track record of partnering with senior product or business leaders, translating complex financial data into clear and compelling narratives, and influencing strategic decisions through financial analysis and insights
• Demonstrated success building and leading high-performing finance teams, including hiring, developing, and retaining top talent
• Comfort operating in ambiguous, fast-moving environments and an ability to create structure and clarity
• Working knowledge of SQL and comfort working with large, complex datasets
• Excellent written and verbal communication skills with experience preparing materials for and presenting to senior leaders

Preferred qualifications

• Experience in or exposure to crypto, stablecoins, digital assets, or blockchain-based financial products
• Experience with marketplace or platform business models and multi-sided network economics
• Experience working closely with different Finance functions (e.g. Accounting, Tax, Treasury, IR)
• Familiarity with leveraging AI/ML tools to enhance and automate financial analysis. Experience working with Python, Anaplan, Tableau, or equivalent tools is a plus
• Experience in a high-growth, rapidly scaling environment

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.

Why Hover wants you

Hover's Customer Experience team is at an inflection point. We've built an exceptional foundation — industry-leading response times, strong CSAT, and a BPO (outsourced) model that handles significant volume. But the next two years require a step change: usage and case volumes are growing quickly, and our vision is that AI will grow to handle 50%+ of total volume.  This requires extensive work across systems, knowledge infrastructure, etc.

Your role will be to build and run our ‘agent team’ alongside our human specialist teams, growing its coverage of our cases to that 50%+ goal and thus preserving our human team’s time and attention to focus on the kinds of cases and situations where their deep expertise and attention is needed.  If you've done 0-to-1 work before, have strong opinions about what good AI QA looks like, and care deeply about how knowledge infrastructure feeds intelligent systems — this is your role.

Our Inbound CX team handles thousands of support conversations per week across phone, chat, and email, serving both self-serve (Product Led Growth) and enterprise (Sales Led Growth) customers. The team includes US-based Senior Specialists who handle our most complex and relationship-critical cases and offshore BPO teams that handle the majority of inbound volume.

You will work in close partnership with GTM Systems Engineering, Analytics Engineering, Revenue Enablement, and other cross functional teams to get the assistance you need building out the knobs and levers that help you run this ‘agent team’ day to day and hit our core operational KPIs.

You will contribute by

This is a rare 0–1 opportunity to define how Hover scales customer experience through AI. You’ll own the full automation roadmap and build systems that directly impact how thousands of customers get help every week.

Some of your core responsibilities include:

• Own the team’s customer-facing agentic bot end-to-end: prompt refinement, escalation logic, routing rules, and ongoing QA calibration
• Design and iterate on human-in-the-loop (HITL) workflows that combine AI-drafted responses with rep review and editing
• Build and maintain Hover's knowledge infrastructure: Guru internal KB, AI-ready support articles, BPO onboarding materials, and documentation standards
• Lead LLM tooling strategy for CX: evaluate tools, configure integrations, and deploy solutions that improve response quality and reduce manual effort
• Define, instrument, and report on all AI performance KPIs: deflection rate, AI CSAT, escalation accuracy, HITL quality score, and KB coverage
• You will act as the connective layer across CX, Engineering, GTM Systems, and Analytics—translating customer needs into scalable AI systems
• Enable BPO and US Specialist teams to work effectively alongside AI tools — training, documentation, and ongoing calibration

Your background includes

• 4+ years of experience in Customer Experience, Support, or Operations
• Day to day building experience with complex AI/LLM powered workflows – prompt and context engineering, data structures, knowledge management, integrations, evaluations, etc.
• Deep experience in the ‘customer support’ world, whether having been a rep yourself, led teams of reps, or partnered extensively for years in a closely supporting manner (engineering, analytics, operations, etc.)
• Experience navigating systems integrations, including comfort working with APIs, webhooks, and the connective tissue between SaaS platforms
• Hands-on QA and Eval experience — you know what good looks like, you can define rubrics, and you can calibrate teams against them
• Data fluency & analytical toolkit — comfortable pulling reports, defining metrics, and using data to make the case for what to build next
• Strong communication skills — you can explain AI systems and their tradeoffs to non-technical stakeholders, and you work fluidly across CX, Engineering, and BizOps

Nice to have

• Direct experience with Intercom, Fin bot, or similar AI-first support platforms
• Experience with Guru or similar internal knowledge tools
• Background in BPO or offshore CX environments
• Familiarity with Salesforce as a data source for CX routing and personalization

Benefits

• Compensation - Competitive salary and meaningful equity in a fast-growing company
• Healthcare - Comprehensive medical, dental, and vision coverage for you and dependents
• Paid Time Off - Unlimited and flexible vacation policy 
• Paid Family Leave - We support work/life balance and offer generous paid parental and new child bonding leave 
• Mandatory Self-Care Days - A day set aside each month to allow employees to recharge 
• Remote Wellbeing Resources - We provide recurring fitness classes, meditation/ mindfulness tools, virtual therapy, and family planning assistance 
• Learning - We encourage continued education and will help cover the cost of management training, conferences, workshops, or certifications

Hybrid roles at Hover

Hover has Hubs in San Francisco and New York City, where we expect that all employees living within a 50-mile radius of our offices will come into their local Hover office at least three times a week to build rapport and foster organic connection. At this time, Hover is not considering fully remote roles.

The US base salary range for this full-time position is $132,000 - $163,000 annually. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all applicable US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

#LI-RH1 #LI-Hybrid

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

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 the Role

The Cloud Inference team scales and optimizes Claude to serve the massive audiences of developers and enterprise companies across AWS, GCP, Azure, and future cloud service providers (CSPs). We own the end-to-end product of Claude on each cloud platform, from API integration and intelligent request routing to inference execution, capacity management, and day-to-day operations.

Within Cloud Inference, the model & inference launch team owns the validation pipeline for our inference server and load balancer on these platforms. We're responsible for every inference change — model launches, performance improvements, safeguard integrations — landing on cloud platforms with correctness, performance, and reliability intact.

This is high-leverage infrastructure work: validation has to be fast and cheap enough to run on the same accelerators that serve customers, trustworthy enough to replace manual checks, and consistent enough that a change working on Anthropic first-party means it works everywhere. This directly determines how fast frontier models and features ship to every cloud platform, and how quickly performance wins reach production — reclaiming capacity at a time when compute is our scarcest resource.

What You'll Do

• Be on the critical path for frontier model launches, bringing up inference for new model architectures and shipping them to cloud platforms in lockstep with our first-party platform
• Work with the core inference team to bring new inference features (e.g. structured sampling, prompt caching, and more) to cloud platforms, owning the platform-specific integration that gets them to production
• Identify and dive deep on the gaps that make inference behave differently across first-party and CSPs — config drift, observability, deployment patterns, hard cross-platform bugs — and fix them at the source rather than building platform-specific workarounds
• Design, build, and own the CI/CD infrastructure for the inference server and load balancer across cloud platforms, with shadow traffic, performance baselines (throughput and latency), and correctness checks that catch regressions before production
• Drive down merge-to-production cycle time by making validation faster, more parallel, and cost-effective enough to run on the same constrained accelerator pool that serves customers, without trading away reliability 
• Analyze observability data across providers to identify performance bottlenecks, cost anomalies, and regressions, and drive remediation based on real-world production workloads

You May Be a Good Fit If You:

• Have a strong interest in LLM serving; prior inference or ML experience is not required 
• Have significant software engineering experience, with a strong background in high-performance, large-scale distributed systems serving millions of users
• Have a track record of building automation or test infrastructure that measurably improved release velocity or reliability
• Have experience building or operating services on at least one major cloud platform (AWS, GCP, or Azure), with exposure to Kubernetes, Infrastructure as Code, or container orchestration
• Thrive in cross-functional collaboration with both internal teams and external partners
• Are a fast learner who can quickly ramp up on new technologies, hardware platforms, and provider ecosystems
• Are highly autonomous and take ownership of problems end-to-end, including work that falls outside your job description

Strong Candidates May Also Have Experience With:

• LLM inference optimization, batching, and caching strategies
• Capacity-constrained scheduling or shared-resource test infrastructure
• Solid understanding of multi-region deployments, request routing, load balancing, global traffic management
• Working with CSP partner teams to scale infrastructure across multiple platforms, navigating differences in networking, security, privacy, and managed service
• Proficiency in Python or Rust

Engineering

Engineering at Brex is about building systems that scale with speed and intention. Our teams span Software, Data, Security, and IT, and operate with high autonomy and deep collaboration. We tackle hard technical problems, own our outcomes, and push for excellence at every level — from architecture to deployment. It’s an environment where engineering is a craft, and builders become leaders.

What you’ll do

Brex’s Governance, Risk, and Compliance function is at an exciting and pivotal point in our maturity journey and we’re seeking a team member who can seamlessly bridge compliance expertise with technical execution. As a Senior GRC Engineer, you will drive critical GRC processes that mitigate risk, keep us compliant, and build trust with our customers and partners. You'll evolve the technical foundation of our Trust program by automating security controls, building integrations between security tools and GRC platforms, and creating scalable processes that enable Brex to maintain compliance efficiently as we expand into new markets. You'll work at the intersection of security, engineering, and compliance — translating regulatory requirements into technical solutions and building automation that eliminates manual toil.

You'll leverage your deep understanding of SOC 2, PCI DSS, ISO 27001, AI governance frameworks, and others to both design controls for emerging compliance requirements and mature existing programs through automation and continuous monitoring. You’ll support Trust Assurance, Third Party Risk Management, and other Security Risk Management initiatives. Working with our Engineering, Infrastructure, and Product teams, you'll translate compliance frameworks into technical controls and build automated systems that help us achieve world-class security as Brex expands.

Your contributions will directly accelerate Brex's maturity. You'll design workflows using Tines, build integrations between security and GRC systems, and create dashboards for security metrics. You'll implement controls across the technology stack, support multiple audits (SOC 2, PCI DSS, SOX/ITGC, FINRA, ISO), and contribute to AI governance framework implementation (ISO 42001, NIST AI RMF, EU AI Act).

You'll have autonomy to build innovative solutions, collaborating cross-functionally to implement controls that enable growth while communicating technical concepts effectively across the organization.

Where you’ll work

This role will be based in our Vancouver office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week, Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work!

Responsibilities

• Manage and scale IT infrastructure, services and tooling
• Work with a diverse group of  IT partners to optimize our provided services
• Implement new services in support of Information Technologies vision
• Scale our services by implementing configuration as code via Terraform providers or APIs
• Operationalize and upskill IT and its partners by producing documentation and leading training sessions
• Evangelize best practices both internally and externally facing

Requirements

• 5+ years of experience in GRC, IT Governance, or Security Engineering with a strong track record of automating manual compliance workflows.
• Deep experience with security frameworks such as SOC 2, PCI DSS, ISO 27001, and NIST CSF, specifically within cloud-native environments.
• Technical proficiency in Python (or similar scripting languages) and experience building integrations using APIs to connect security tools with GRC systems. You can read code, design integrations, and understand technical implementations.
• Builder mindset with the ability to design and implement automated control testing, continuous monitoring, and data-driven security metrics. You see manual processes and immediately think about how to automate them.
• Exceptional cross-functional collaboration and communication skills. You can translate complex compliance requirements into technical specifications that engineering teams can actually implement and influence stakeholders across technical and non-technical domains.
• Strong systems thinking. You have the ability to design scalable GRC architectures that grow with the company, rather than just solving for the immediate audit.
• Bias for action. You’re a self-starter who ships solutions quickly and iterates based on feedback. 

Bonus points

• Previous experience in Fintech or banking environments navigating complex regulatory landscapes.
• Hands-on experience with Tines or other SOAR platforms to automate security operations.
• Familiarity with AI/ML governance frameworks (NIST AI RMF, ISO 42001) or securing agentic systems.
• Deep knowledge of Cloud Security (AWS/GCP), infrastructure-as-code (Terraform), or DevSecOps practices.
• Relevant industry certifications such as CISSP, CISA, or CCSP.
• Experience building metrics dashboards for security visualization and reporting.
• Active contributions to the GRC or Security community through open-source projects or public research.

Compensation

The expected salary range for this role is $153,600 - $192,000 CAD. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

Brex LLC is a wholly owned subsidiary of Capital One, N.A.

Engineering

Engineering at Brex is about building systems that scale with speed and intention. Our teams span Software, Data, Security, and IT, and operate with high autonomy and deep collaboration. We tackle hard technical problems, own our outcomes, and push for excellence at every level — from architecture to deployment. It’s an environment where engineering is a craft, and builders become leaders.

What you’ll do

Brex’s Governance, Risk, and Compliance function is at an exciting and pivotal point in our maturity journey and we’re seeking a team member who can seamlessly bridge compliance expertise with technical execution. As a Senior GRC Engineer, you will drive critical GRC processes that mitigate risk, keep us compliant, and build trust with our customers and partners. You'll evolve the technical foundation of our Trust program by automating security controls, building integrations between security tools and GRC platforms, and creating scalable processes that enable Brex to maintain compliance efficiently as we expand into new markets. You'll work at the intersection of security, engineering, and compliance — translating regulatory requirements into technical solutions and building automation that eliminates manual toil.

You'll leverage your deep understanding of SOC 2, PCI DSS, ISO 27001, AI governance frameworks, and others to both design controls for emerging compliance requirements and mature existing programs through automation and continuous monitoring. You’ll support Trust Assurance, Third Party Risk Management, and other Security Risk Management initiatives. Working with our Engineering, Infrastructure, and Product teams, you'll translate compliance frameworks into technical controls and build automated systems that help us achieve world-class security as Brex expands.

Your contributions will directly accelerate Brex's maturity. You'll design workflows using Tines, build integrations between security and GRC systems, and create dashboards for security metrics. You'll implement controls across the technology stack, support multiple audits (SOC 2, PCI DSS, SOX/ITGC, FINRA, ISO), and contribute to AI governance framework implementation (ISO 42001, NIST AI RMF, EU AI Act).

You'll have autonomy to build innovative solutions, collaborating cross-functionally to implement controls that enable growth while communicating technical concepts effectively across the organization.

Where you’ll work

This role will be based in our Seattle office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week, Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work!

Responsibilities

• Manage and scale IT infrastructure, services and tooling
• Work with a diverse group of  IT partners to optimize our provided services
• Implement new services in support of Information Technologies vision
• Scale our services by implementing configuration as code via Terraform providers or APIs
• Operationalize and upskill IT and its partners by producing documentation and leading training sessions
• Evangelize best practices both internally and externally facing

Requirements

• 5+ years of experience in GRC, IT Governance, or Security Engineering with a strong track record of automating manual compliance workflows.
• Deep experience with security frameworks such as SOC 2, PCI DSS, ISO 27001, and NIST CSF, specifically within cloud-native environments.
• Technical proficiency in Python (or similar scripting languages) and experience building integrations using APIs to connect security tools with GRC systems. You can read code, design integrations, and understand technical implementations.
• Builder mindset with the ability to design and implement automated control testing, continuous monitoring, and data-driven security metrics. You see manual processes and immediately think about how to automate them.
• Exceptional cross-functional collaboration and communication skills. You can translate complex compliance requirements into technical specifications that engineering teams can actually implement and influence stakeholders across technical and non-technical domains.
• Strong systems thinking. You have the ability to design scalable GRC architectures that grow with the company, rather than just solving for the immediate audit.
• Bias for action. You’re a self-starter who ships solutions quickly and iterates based on feedback. 

Bonus points

• Previous experience in Fintech or banking environments navigating complex regulatory landscapes.
• Hands-on experience with Tines or other SOAR platforms to automate security operations.
• Familiarity with AI/ML governance frameworks (NIST AI RMF, ISO 42001) or securing agentic systems.
• Deep knowledge of Cloud Security (AWS/GCP), infrastructure-as-code (Terraform), or DevSecOps practices.
• Relevant industry certifications such as CISSP, CISA, or CCSP.
• Experience building metrics dashboards for security visualization and reporting.
• Active contributions to the GRC or Security community through open-source projects or public research.

Compensation

The expected salary range for this role is $153,600 - $192,000. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

Brex LLC is a wholly owned subsidiary of Capital One, N.A.

Engineering

Engineering at Brex is about building systems that scale with speed and intention. Our teams span Software, Data, Security, and IT, and operate with high autonomy and deep collaboration. We tackle hard technical problems, own our outcomes, and push for excellence at every level — from architecture to deployment. It’s an environment where engineering is a craft, and builders become leaders.

What you’ll do

Brex’s Governance, Risk, and Compliance function is at an exciting and pivotal point in our maturity journey and we’re seeking a team member who can seamlessly bridge compliance expertise with technical execution. As a Senior GRC Engineer, you will drive critical GRC processes that mitigate risk, keep us compliant, and build trust with our customers and partners. You'll evolve the technical foundation of our Trust program by automating security controls, building integrations between security tools and GRC platforms, and creating scalable processes that enable Brex to maintain compliance efficiently as we expand into new markets. You'll work at the intersection of security, engineering, and compliance — translating regulatory requirements into technical solutions and building automation that eliminates manual toil.

You'll leverage your deep understanding of SOC 2, PCI DSS, ISO 27001, AI governance frameworks, and others to both design controls for emerging compliance requirements and mature existing programs through automation and continuous monitoring. You’ll support Trust Assurance, Third Party Risk Management, and other Security Risk Management initiatives. Working with our Engineering, Infrastructure, and Product teams, you'll translate compliance frameworks into technical controls and build automated systems that help us achieve world-class security as Brex expands.

Your contributions will directly accelerate Brex's maturity. You'll design workflows using Tines, build integrations between security and GRC systems, and create dashboards for security metrics. You'll implement controls across the technology stack, support multiple audits (SOC 2, PCI DSS, SOX/ITGC, FINRA, ISO), and contribute to AI governance framework implementation (ISO 42001, NIST AI RMF, EU AI Act).

You'll have autonomy to build innovative solutions, collaborating cross-functionally to implement controls that enable growth while communicating technical concepts effectively across the organization.

Where you’ll work

This role will be based in our New York office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week, Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work!

Responsibilities

• Manage and scale IT infrastructure, services and tooling
• Work with a diverse group of  IT partners to optimize our provided services
• Implement new services in support of Information Technologies vision
• Scale our services by implementing configuration as code via Terraform providers or APIs
• Operationalize and upskill IT and its partners by producing documentation and leading training sessions
• Evangelize best practices both internally and externally facing

Requirements

• 5+ years of experience in GRC, IT Governance, or Security Engineering with a strong track record of automating manual compliance workflows.
• Deep experience with security frameworks such as SOC 2, PCI DSS, ISO 27001, and NIST CSF, specifically within cloud-native environments.
• Technical proficiency in Python (or similar scripting languages) and experience building integrations using APIs to connect security tools with GRC systems. You can read code, design integrations, and understand technical implementations.
• Builder mindset with the ability to design and implement automated control testing, continuous monitoring, and data-driven security metrics. You see manual processes and immediately think about how to automate them.
• Exceptional cross-functional collaboration and communication skills. You can translate complex compliance requirements into technical specifications that engineering teams can actually implement and influence stakeholders across technical and non-technical domains.
• Strong systems thinking. You have the ability to design scalable GRC architectures that grow with the company, rather than just solving for the immediate audit.
• Bias for action. You’re a self-starter who ships solutions quickly and iterates based on feedback. 

Bonus points

• Previous experience in Fintech or banking environments navigating complex regulatory landscapes.
• Hands-on experience with Tines or other SOAR platforms to automate security operations.
• Familiarity with AI/ML governance frameworks (NIST AI RMF, ISO 42001) or securing agentic systems.
• Deep knowledge of Cloud Security (AWS/GCP), infrastructure-as-code (Terraform), or DevSecOps practices.
• Relevant industry certifications such as CISSP, CISA, or CCSP.
• Experience building metrics dashboards for security visualization and reporting.
• Active contributions to the GRC or Security community through open-source projects or public research.

Compensation

The expected salary range for this role is $153,600 - $192,000. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

Brex LLC is a wholly owned subsidiary of Capital One, N.A.

Engineering

Engineering at Brex is about building systems that scale with speed and intention. Our teams span Software, Data, Security, and IT, and operate with high autonomy and deep collaboration. We tackle hard technical problems, own our outcomes, and push for excellence at every level — from architecture to deployment. It’s an environment where engineering is a craft, and builders become leaders.

What you’ll do

Brex’s Governance, Risk, and Compliance function is at an exciting and pivotal point in our maturity journey and we’re seeking a team member who can seamlessly bridge compliance expertise with technical execution. As a Senior GRC Engineer, you will drive critical GRC processes that mitigate risk, keep us compliant, and build trust with our customers and partners. You'll evolve the technical foundation of our Trust program by automating security controls, building integrations between security tools and GRC platforms, and creating scalable processes that enable Brex to maintain compliance efficiently as we expand into new markets. You'll work at the intersection of security, engineering, and compliance — translating regulatory requirements into technical solutions and building automation that eliminates manual toil.

You'll leverage your deep understanding of SOC 2, PCI DSS, ISO 27001, AI governance frameworks, and others to both design controls for emerging compliance requirements and mature existing programs through automation and continuous monitoring. You’ll support Trust Assurance, Third Party Risk Management, and other Security Risk Management initiatives. Working with our Engineering, Infrastructure, and Product teams, you'll translate compliance frameworks into technical controls and build automated systems that help us achieve world-class security as Brex expands.

Your contributions will directly accelerate Brex's maturity. You'll design workflows using Tines, build integrations between security and GRC systems, and create dashboards for security metrics. You'll implement controls across the technology stack, support multiple audits (SOC 2, PCI DSS, SOX/ITGC, FINRA, ISO), and contribute to AI governance framework implementation (ISO 42001, NIST AI RMF, EU AI Act).

You'll have autonomy to build innovative solutions, collaborating cross-functionally to implement controls that enable growth while communicating technical concepts effectively across the organization.

Where you’ll work

This role will be based in our San Francisco office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week, Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work!

Responsibilities

• Manage and scale IT infrastructure, services and tooling
• Work with a diverse group of  IT partners to optimize our provided services
• Implement new services in support of Information Technologies vision
• Scale our services by implementing configuration as code via Terraform providers or APIs
• Operationalize and upskill IT and its partners by producing documentation and leading training sessions
• Evangelize best practices both internally and externally facing

Requirements

• 5+ years of experience in GRC, IT Governance, or Security Engineering with a strong track record of automating manual compliance workflows.
• Deep experience with security frameworks such as SOC 2, PCI DSS, ISO 27001, and NIST CSF, specifically within cloud-native environments.
• Technical proficiency in Python (or similar scripting languages) and experience building integrations using APIs to connect security tools with GRC systems. You can read code, design integrations, and understand technical implementations.
• Builder mindset with the ability to design and implement automated control testing, continuous monitoring, and data-driven security metrics. You see manual processes and immediately think about how to automate them.
• Exceptional cross-functional collaboration and communication skills. You can translate complex compliance requirements into technical specifications that engineering teams can actually implement and influence stakeholders across technical and non-technical domains.
• Strong systems thinking. You have the ability to design scalable GRC architectures that grow with the company, rather than just solving for the immediate audit.
• Bias for action. You’re a self-starter who ships solutions quickly and iterates based on feedback. 

Bonus points

• Previous experience in Fintech or banking environments navigating complex regulatory landscapes.
• Hands-on experience with Tines or other SOAR platforms to automate security operations.
• Familiarity with AI/ML governance frameworks (NIST AI RMF, ISO 42001) or securing agentic systems.
• Deep knowledge of Cloud Security (AWS/GCP), infrastructure-as-code (Terraform), or DevSecOps practices.
• Relevant industry certifications such as CISSP, CISA, or CCSP.
• Experience building metrics dashboards for security visualization and reporting.
• Active contributions to the GRC or Security community through open-source projects or public research.

Compensation

The expected salary range for this role is $153,600 - $192,000. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

Brex LLC is a wholly owned subsidiary of Capital One, N.A.

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

Join Airtable as a Product Security Engineer and play a pivotal role in shaping the security of our rapidly evolving platform as we expand our AI and LLM-powered offerings. You will join the team responsible for safeguarding the application layer of Airtable’s platform.

You will partner closely with product engineering teams to build paved roads, frameworks, and automated controls that make the secure path the easy path for our engineering teams. You will help influence application security at scale, ensuring our products are secure by design.

What you'll do

• Develop self-service security frameworks and "paved roads" that allow engineering teams to ship secure code by default.
• Focus on automated guardrails for common vulnerabilities, while prioritizing deep-dive design reviews into complex business logic and data isolation issues (for example, multi-tenant isolation and authorization/permission bypasses) that automated tools cannot catch.
• Partner with product and engineering teams to review designs early, contribute to threat modeling for new features and complex initiatives, and provide clear, actionable security guidance.
• Research emerging threats and evolving best practices, specifically regarding AI and LLM safety, and implement controls to secure these workflows.
• Manage and evolve our approach to external penetration testing and bug bounties, driving remediation for findings and treating vulnerability management as an engineering problem.
• Contribute to the long-term roadmaps, metrics, and strategic planning for the security team.
• (Senior/Staff L5+) Lead complex threat modeling sessions for major product launches and define secure coding standards, and actively mentor other engineers to raise the technical security bar across the organization.

Who you are

• 4+ years of experience in product security or application security, with experience shipping production code. Please note this is not an early career position.
• You have a strong background in computer science or a related field, with proficiency in writing clean, maintainable code.
• You have deep familiarity with JavaScript or TypeScript, Node.js, and modern web application frameworks, and can reason about the security implications of systems built on them.
• You have hands-on experience securing LLM integrations and identifying prompt injection or data leakage risks.
• You are proficient in writing and reviewing code and treat security as an engineering problem to be solved with software, not just policies.
• You excel at communicating complex security risks to non-security stakeholders and enjoy collaborating cross-functionally to find solutions that balance security with engineering velocity.
• You are comfortable working in a fast-paced environment, navigating ambiguity, continuously learning about emerging threats and technologies, and contributing to long-term security strategy.

Airtable is an equal opportunity employer. We embrace diversity and strive to create a workplace where everyone has an equal opportunity to thrive. We welcome people of different backgrounds, experiences, abilities, and perspectives. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status or any characteristic protected by applicable federal and state laws, regulations and ordinances. Learn more about your EEO rights as an applicant. 

VEVRAA-Federal Contractor

If you have a medical condition, disability, or religious belief/practice which inhibits your ability to participate in any part of the application or interview process, please complete our Accommodations Request Form and let us know how we may assist you. Airtable is committed to participating in the interactive process and providing reasonable accommodations to qualified applicants.

#LI-remote

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

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.

The Customer Problem

When you open Spotify, the homepage is different for every user. When you browse Nike's site, products are ranked by what Nike thinks you'll buy. When you log into Chase, offers are tailored to your spending. This is web and mobile personalization: deciding in real time what each customer sees inside your product. It directly moves conversion, retention, and revenue at the point where customers are already engaged.

Almost nobody does it well outside of companies that build it from scratch. A single experiment (testing whether high-spend users convert better seeing a loyalty upsell on the account page) requires an analyst to build the segment, a PM to write targeting rules, a designer to create variants, an engineer to instrument the test, and someone to monitor results. Most teams run 5–10 per quarter and end up with a handful of static rules covering a fraction of their users.

The tools that exist (Optimizely, Adobe Target) handle infrastructure but don't solve the coordination problem. Every experiment, audience, and piece of content still requires manual configuration. They also force companies to duplicate customer data into a proprietary store, adding months of implementation and permanent vendor lock-in.

Why Agents are the Solution

The shift from "AI assists a step" to "AI owns a workflow" is already happening in software engineering. Personalization is ready for the same shift.

Today: A growth team testing whether high-intent visitors convert better with a comparison page spends 2–4 weeks coordinating across tools and people. They run maybe 8 experiments that quarter.

With agents: The growth lead describes the goal. An agent identifies the audience from existing customer data, generates variants informed by past performance, configures the experiment with holdout groups, launches it, monitors significance, and reallocates traffic. The human reviews before launch. Calendar time: hours. The same team runs 50+ experiments per quarter because the coordination cost drops to nearly zero.

Agents handle the full chain as one workflow: audience, content, experiment, optimization. Instead of a bunch of manual steps, agents rethink this as a continuously improving closed loop.

Why Hightouch, Why Now

More than 1,000 enterprises—like Domino’s, Chime, Spotify, Ramp, Whoop, Grammarly, use Hightouch to run their marketing. Earlier this year we launched the Agentic Marketing Platform with two pillars:

• Agentic Advertising Studio. Agents analyze performance, competitor creative, and brand guidelines, then assemble ad concepts across Meta, Google, TikTok, and LinkedIn.
• Agentic Lifecycle Studio. Agents identify lifecycle opportunities, draft audiences, assemble on-brand email and SMS campaigns, and orchestrate them through Braze, Iterable, Salesforce, and Adobe.

Advertising covers paid media. Lifecycle covers email, SMS, and push. Agentic Personalization is the third pillar: what customers experience inside the website and mobile app. Different buyer (product and growth teams), different workflow (real-time experimentation), different technical surface (browser SDKs and edge delivery). Same agent infrastructure and data foundation.

What no competitor can replicate:

• Agent orchestration. 25+ specialized skills for audience building, content generation, campaign analysis, and multi-step workflow coordination.
• Content assembly. Agents search existing asset libraries for reusable on-brand content before generating anything new, which is what makes output trustworthy enough for enterprises to ship.
• Marketing and brand context. Persistent layer connecting customer data, brand guidelines, creative assets, and performance history so agents operate grounded in how the business works.
• Real-time data infrastructure. Low-latency personalization API, sub-second audience evaluation, ML-powered optimization and recommendations, event pipeline processing millions of events daily.

The Role

Founding Product Manager for Agentic Personalization: Hightouch's third major pillar and biggest new investment. You define the product, the sequencing, and the go-to-market.

• Customer discovery. Deep engagement with product and growth teams at enterprise companies to understand how they personalize web and mobile today, and what would earn their trust in an agent-driven approach. Translate into a roadmap tied to revenue milestones.
• Define the agent experience. What agents do autonomously (segments, variants, experiments, traffic allocation) vs. what needs human approval (production launches, brand-sensitive content). Design the feedback loop that builds trust over time.
• Scale the GTM. Co-own pipeline, join customer calls, shape competitive positioning, partner with CS on implementation playbooks.

High-visibility role working directly with founders and executive team.

What We're Looking For

• Zero-to-one track record. Products you built from nothing to meaningful revenue, ideally at a B2B SaaS company. Domain matters less than evidence you can find product-market fit under uncertainty.
• Technical depth. Can evaluate architectural tradeoffs, debate infrastructure decisions with senior engineers, and reason about things like batch vs. real-time and caching strategies at the level of product decisions.
• Commercial instinct. Think in terms of pipeline, conversion, and expansion. Build roadmaps that map to revenue targets.
• Speed. Small team, high autonomy, tight cycles. We use AI heavily in our own workflows.
• Cross-functional trust. This spans engineering, design, sales, CS, and leadership. You drive clarity from ambiguity.

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 $240,000 - $320,000 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.

About The Role

Hightouch is looking for an Enterprise Account Executive to join our fast-growing team. As a pivotal part of a small but dynamic sales organization, you will have the opportunity to shape the future of our product offering and contribute directly to our success. This is an exciting opportunity for a driven individual with significant enterprise sales experience, a passion for technology, and a talent for building meaningful relationships with clients.

We’re seeking a self-starter who thrives in a fast-paced environment, has a strong track record in sales, and is eager to take the next step in their career with a rapidly scaling startup. The ideal candidate will possess a blend of sales expertise, entrepreneurial spirit, and a commitment to continuous learning.

What We're Looking For:

• Experience building and managing a pipeline of high-value enterprise accounts.
• Experience driving both outbound prospecting efforts and land-and-expand strategies to develop long-term client relationships.
• Ability to conduct discovery calls, understand client needs, and deliver tailored solutions that drive measurable business outcomes.
• Collaboration with cross-functional teams (Sales, Marketing, Product) to deliver a seamless customer experience.
• Someone who consistently meet or exceed sales targets and KPIs, while maintaining a high level of professionalism and customer-centricity.
• Excellent verbal and written communication.
• Ability to adapt to an ever-changing work environment and operate with a sense of urgency.

Bonus Points If You Have:

• A deep understanding of the martech and/or data ecosystem and how businesses use these technologies to drive growth.

Compensation Details

On-Target Earnings: $300,000 annually
Base Salary: $150,000 annually

We also offer meaningful equity compensation in the form of ISO options and offer early exercise and a 10-year post-termination exercise window.

About The Role

Hightouch is looking for an Enterprise Account Executive to join our fast-growing team. As a pivotal part of a small but dynamic sales organization, you will have the opportunity to shape the future of our product offering and contribute directly to our success. This is an exciting opportunity for a driven individual with significant enterprise sales experience, a passion for technology, and a talent for building meaningful relationships with clients.

We’re seeking a self-starter who thrives in a fast-paced environment, has a strong track record in sales, and is eager to take the next step in their career with a rapidly scaling startup. The ideal candidate will possess a blend of sales expertise, entrepreneurial spirit, and a commitment to continuous learning.

What We're Looking For:

• Experience building and managing a pipeline of high-value enterprise accounts.
• Experience driving both outbound prospecting efforts and land-and-expand strategies to develop long-term client relationships.
• Ability to conduct discovery calls, understand client needs, and deliver tailored solutions that drive measurable business outcomes.
• Collaboration with cross-functional teams (Sales, Marketing, Product) to deliver a seamless customer experience.
• Someone who consistently meet or exceed sales targets and KPIs, while maintaining a high level of professionalism and customer-centricity.
• Excellent verbal and written communication.
• Ability to adapt to an ever-changing work environment and operate with a sense of urgency.

Bonus Points If You Have:

• A deep understanding of the martech and/or data ecosystem and how businesses use these technologies to drive growth.

Compensation Details

On-Target Earnings: $300,000 annually
Base Salary: $150,000 annually

We also offer meaningful equity compensation in the form of ISO options and offer early exercise and a 10-year post-termination exercise window.

About the Role

We’re looking for a Forward Deployed Marketing Data Scientist to partner closely with our AI Decisioning customers and internal engineering teams to ensure that AI-driven marketing campaigns deliver measurable, compounding impact. This role is uniquely cross-functional: you’ll spend time diagnosing model behavior, tuning ML levers, analyzing incrementality, exploring customer data, and explaining insights to marketers and executives.

Marketing teams come to Hightouch to transform how they operate. Instead of planning campaigns weeks ahead on a calendar, AI Decisioning continuously learns customer preferences and executes 1:1 messaging that adapts in real time. Your mission is to make sure that these AI agents perform at their best—and to help customers understand why they are performing the way they are.

You’ll work alongside ML engineers, product managers, Solutions Consultants, and some of the world’s most recognizable brands to improve campaign performance, debug experiments, and identify opportunities for additional lift. Roughly 30% of your time will be customer-facing and 70% deep analytical and modeling work.

No two days are the same, but you can expect to:

Own diagnostics, insights, and tuning for AI Decisioning campaigns

• Explain why AI Decisioning is driving lift using counterfactuals, incrementality breakdowns, and cohort analysis.
• Debug performance issues, iterate on reward functions, and ensure the agent’s recommendations align with customer goals.
• Investigate experiment setups (send volumes, reachability, channel constraints) and surface actionable recommendations.

Work deeply with data in notebooks and customer warehouses

• Pull down historical data to run exploratory analyses using Polars / Pandas in Jupyter notebooks
• Modify and improve customer feature matrices to unlock deep personalization.
• Conduct deeper warehouse-level SQL analyses when insights aren’t available in the UI.

Build lightweight tooling that enables scale

• Create templates, notebooks, scripts, and repeatable workflows that improve how we analyze performance across customers.
• Identify systemic gaps and influence the direction of ML reporting and introspection.

Communicate ML concepts clearly to non-technical stakeholders

• Present model insights and recommendations to marketers, analysts, and executives.
• Explain how the decision engine handles cold start, message transfer learning, exploration vs. exploitation, and more.
• Partner closely with Solutions Consultants to identify and drive new opportunities for uplift.

What We’re Looking For

• Strong ability to perform deep exploratory data analysis in Python (Polars / Pandas, Jupyter notebooks).
• Ability to write and interpret SQL for customer warehouse analysis.
• High-level understanding of ML modeling concepts (features, hyperparameters, reward functions, training windows).
• Excellent communication skills; able to explain technical reasoning simply and confidently to marketers.
• A customer-first attitude with high ownership and urgency when resolving issues.

Bonus Points

• Experience setting up and analyzing marketing experiments such as A/B, multivariate tests.
• Prior experience in an applied ML, data science, analytics engineering, or forward-deployed role.
• Experience building lightweight internal tools or scripting solutions.

We are looking for talented, intellectually curious, and motivated individuals who are interested in tackling the problems above. We focus on impact and potential for growth more than years of experience. The salary range for this position is $140,000 - $220,000 USD per year, which is location independent in accordance with our remote-first policy.

Interview Process

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.

Our interview process evaluates the most important dimensions of the role: analytical depth, customer communication, first-principles problem solving, and alignment with Hightouch’s values.

Intro Call [15–30m]

Introductory call with either a member of our recruiting team or the hiring manager to get to know each other and see if the role could be a good mutual fit.

Take Home Data Analysis Exercise + Review Session [45m]

You’ll complete a short take-home assignment focused on exploratory data analysis of an example dataset. In the live review, you’ll walk through your approach, explain your reasoning, and present your findings as if you were guiding a customer through your analysis. We’re looking for clarity of communication, rigor of thinking, and the ability to turn data into actionable insights.

Experiment Design & Analysis Session [90m]

A hands-on session where we collaboratively design and evaluate an experiment end-to-end. This includes:

• Defining the experimental goal and how success should be measured
• Identifying the most relevant context and features to use in modeling
• Interpreting example results and diagnosing performance patterns
• Recommending next steps and communicating tradeoffs

Hiring Manager Interview [30m]

Chat with hiring manager about past experiences and future operating preferences to assess fit on company values and operating principles.

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!

About the Role

The Web Engineering team owns our public website (hightouch.com), which is the face of our company and brand and one of the most important ways that customers and prospects learn about Hightouch. We’re looking for a talented senior web engineer who is passionate about crafting exceptional experiences and cares deeply about the story that we tell customers. As Hightouch continues to scale rapidly, you will play a pivotal role in shaping how we position and promote our new product offerings, including cutting edge advancements in marketing AI and ML.

In this role, you’ll partner closely with our marketing and design teams to build, iterate, and maintain our marketing website. Key responsibilities include:

• Lead the design, scoping, and implementation of marketing website projects such as new feature pages, blog revamps, and more
• Integrate CMS-powered interfaces (we use Sanity) that allow marketers to update content independently
• Build and maintain our design system to ensure we can continue to build with high velocity and high standards for UX
• Develop engaging animations that enhance product storytelling using technologies such as Motion and GSAP
• Exercise strong design judgment and attention to detail to ensure that every aspect of our site reinforces our brand identity

About you

• 5+ years of experience in software/web engineering, ideally with strong proficiency in React, TypeScript, CSS, and Next.js
• Demonstrated ability to build production-ready web applications in a fast-paced environment
• Excellent design taste and obsessive attention to detail
• Proven experience with code-based animations (e.g., using Motion or GSAP) or experience collaborating with contractors on creative implementations
• Ability to work autonomously, lead and coach other engineers, and collaborate effectively with marketing, design, and data teams
• Deep understanding of SEO principles and best practices, especially around performance, accessibility, and search optimization

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 $170,000 - $220,000 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.

Interview Process

Our interview process focuses on evaluating fit for the most important dimensions of the role: cross-functional collaboration, a strong sense of design and user experience, and experience building production frontend components.

• Intro Call [30m]: Introductory call with either a member of our recruiting team or the hiring manager to get to know each other and see if the role could be a good mutual fit.
• Technical Screen [45m]: Work with one of our frontend engineers to build a simple component using React and TypeScript.
• Past Projects Deep Dive [45m]: Walk through 2-3 previous projects (personal or professional) with your interviewer while highlighting big wins, challenges, and key decisions.
• Technical Interview [90m]: Work with the interviewer to design, architect, and implement a complex frontend component.
• Hiring Manager Interview [30m]: Chat with hiring manager about past experiences and future operating preferences to assess fit on company values and operating principles.

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.

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

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.

• 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.)

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

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. 

This role will partner closely with our Software and Design teams to define the vision and long-term strategy for Aurora's internal application ecosystem for Autonomy development. You will be responsible for the end-to-end product lifecycle of tools that empower our engineers and operations teams to build, test, and deploy autonomous vehicle technology at scale. By conducting deep user research and synthesizing complex requirements, you will transform technical capabilities into a cohesive product portfolio that accelerates our path to commercialization.

In this role, you will

• Architect Product Strategy: Define and champion a multi-year product vision and North Star for a portfolio of internal applications, ensuring alignment with Aurora’s broader commercial objectives.
• Drive Cross-Functional Collaboration: Act as the primary bridge between Engineering and Design to deliver high-impact products that maximize business value and optimize user workflows.
• Master the User Domain: Develop an empathetic, deep-seated understanding of the challenges inherent in AV development, including data visualization, ML labeling, and simulation lifecycles.
• Drive AI Adoption: Define and champion AI/agentic tools and workflows that accelerate development workflows
• Prioritize for Impact: Rigorously manage the product roadmap, balancing the immediate needs of internal stakeholders with long-term platform scalability and technical debt.
• Operationalize Feedback: Translate qualitative user insights and quantitative usage metrics into high-fidelity requirements and actionable user stories.
• Lead Through Influence: Navigate complex stakeholder environments to build consensus on timelines, trade-offs, and resource allocation.

Required Qualifications

• Proven Leadership: 7+ years in software product management with a track record of driving the strategy and execution of complex software ecosystems.
• Strategic Problem Solver: Exceptional ability to navigate ambiguity, create structured frameworks from "white space," and lead teams through organizational change.
• Influence & Communication: Ability to articulate a compelling product narrative and translate sophisticated concepts into clear, persuasive communication for executive leadership.
• Collaborative Excellence: Demonstrated experience leading high-performing, cross-functional teams (Design, Engineering, and Data) to deliver high-ROI products.
• Operational Fluency: Strong understanding of the software development lifecycle, particularly in ML-based software development, and the ability to identify and mitigate delivery risks.
• Technical Fluency: Ability to pick up deep technical concepts quickly to understand architecture risks and complexity trade-offs.

Desirable Qualifications

• Bachelor’s degree in Computer Science (or other technical education) or equivalent practical experience
• Experience shipping products 
• Experience with self-driving technology or other AI-based applications

The base salary range for this position is $187K-$262K 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.

 #LI-SP1

About this role

Faire leverages the power of machine learning and data insights to revolutionize the wholesale industry, enabling local retailers to compete against giants like Amazon and big box stores. At Faire, the Data Science team is responsible for creating and maintaining a diverse range of algorithms and models that power our marketplace. We are dedicated to building machine learning models that help our customers thrive. 

As a member of the Brand Data Science team working on Listing Quality, you will be responsible for improving the quality of product listings to help retailers find and evaluate products on Faire. You will use ML and AI to tackle critical challenges, such as enhancing image and text quality, extracting structured product attributes, and accurately identifying duplicates and product variants. You will leverage deep learning, multi-modal LLMs, and human-in-the-loop training to create high performance solutions. This space has been evolving rapidly with advancements in AI and you will be at the forefront of applying the latest technology to drive real-world impact. You will independently design and implement solutions and work with the cross-functional Listing Quality pod, including product, design, engineering, analytics, and operations, to solve problems end-to-end.

What you’ll do

• Drive data science vision, strategy, and execution on Listing Quality, using ML and AI solutions to improve the quality of Faire’s product listings.
• Use deep learning, LLM fine tuning, and human-in-the-loop training to automatically detect and address issues with high accuracy.
• Act as a lead on the cross-functional Listing Quality pod, thinking end-to-end about brand and retailer experiences.

Qualifications

• 3+ years of industry experience using machine learning to solve real-world problems
• Experience with relevant business problems (e.g. e-commerce)
• Experience with relevant technical methods (e.g. LLM fine tuning, deep learning, or human-in-the-loop machine learning)
• Strong programming skills
• An excitement and willingness to learn new tools and techniques
• The ability to design and implement ML solutions without supervision
• Strong communication skills and the ability to work in a highly cross-functional team 

Great to Haves:

• Master’s or PhD in Computer Science, Statistics, or related STEM fields is highly recommended
• Previous experience in listing quality for e-commerce
• Previous experience in supervised fine tuning of multi-modal LLMs
• Experience deploying and optimizing LLM inference systems at scale (10B+ tokens), with focus on cost efficiency and product impact

Salary Range

Canada: the pay range for this role is $180,000 to $247,500 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.

About this role

Faire leverages the power of machine learning and data insights to revolutionize the wholesale industry, enabling local retailers to compete against giants like Amazon and big box stores. At Faire, the Data Science team is responsible for creating and maintaining a diverse range of algorithms and models that power our marketplace. We are dedicated to building machine learning models that help our customers thrive. 

As a member of the Brand Data Science team working on Listing Quality, you will be responsible for improving the quality of product listings to help retailers find and evaluate products on Faire. You will use ML and AI to tackle critical challenges, such as enhancing image and text quality, extracting structured product attributes, and accurately identifying duplicates and product variants. You will leverage deep learning, multi-modal LLMs, and human-in-the-loop training to create high performance solutions. This space has been evolving rapidly with advancements in AI and you will be at the forefront of applying the latest technology to drive real-world impact. You will independently design and implement solutions and work with the cross-functional Listing Quality pod, including product, design, engineering, analytics, and operations, to solve problems end-to-end.

What you’ll do

• Drive data science vision, strategy, and execution on Listing Quality, using ML and AI solutions to improve the quality of Faire’s product listings.
• Use deep learning, LLM fine tuning, and human-in-the-loop training to automatically detect and address issues with high accuracy.
• Act as a lead on the cross-functional Listing Quality pod, thinking end-to-end about brand and retailer experiences.

Qualifications

• 3+ years of industry experience using machine learning to solve real-world problems
• Experience with relevant business problems (e.g. e-commerce)
• Experience with relevant technical methods (e.g. LLM fine tuning, deep learning, or human-in-the-loop machine learning)
• Strong programming skills
• An excitement and willingness to learn new tools and techniques
• The ability to design and implement ML solutions without supervision
• Strong communication skills and the ability to work in a highly cross-functional team 

Great to Haves:

• Master’s or PhD in Computer Science, Statistics, or related STEM fields is highly recommended
• Previous experience in listing quality for e-commerce
• Previous experience in supervised fine tuning of multi-modal LLMs
• Experience deploying and optimizing LLM inference systems at scale (10B+ tokens), with focus on cost efficiency and product impact

Salary Range

San Francisco: the pay range for this role is $211,000 to $290,500 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.

WHAT WE’RE LOOKING FOR

As part of the Braze Account Management Team, you will be the commercial owner of a portfolio of Braze’s growth customers, ensuring they are maximizing value through the use of our technology. This is an opportunity to bring your skills as a consultant, business analyst, project manager, and sales professional to work with leading brands and expand your knowledge of multi-channel consumer engagement, mobile marketing automation, APIs, and analytics.

The ideal candidate will have at least 3 years experience renewing and expanding existing SaaS solutions contracts to clients in a variety of different verticals where typical deal size ranges from $25k - $500k/year. Ideally, your product sales experience focuses on selling email, analytics, CRM, marketing automation, and/or content marketing solutions. Prior experience should include collaboration with Customer Success and Marketing/Sales Enablement teams, including input into the lead generation process.

WHAT YOU'LL DO

• Own the commercial relationship, empowering Braze utilization and value, resulting in achieving upsell and renewals targets
• Acquire and maintain best-in-class product knowledge and industry trends
• Proactively analyze customer product usage and identify growth opportunities
• Effectively communicate customer feedback to the Braze product team
• Cross-department collaboration, including but not limited to Success, Sales, Product, Legal, and Marketing
• Coordinate resources to drive feature adoption
• Work with Account Executives and other Success Partners to seamlessly transition clients from pre-sales, through onboarding, and into ongoing Service usage

WHAT YOU HAVE

• Drive, intellectual curiosity, and a relentless commitment to excellence
• Background in SaaS sales for Mobile and/or Marketing Technology
• Proven success navigating organizations and the ability to quickly identify decision makers and the decision-making process for Braze’s SMB customer segment
• Outstanding verbal, written, and stand-up presentation skills
• Prior experience with Salesforce.com CRM, or other CRM used to manage the sales pipeline
• Excellent organizational skills and time management abilities
• The capacity to handle multiple competing priorities
• Proven ability to quickly get up to speed on new cloud apps and tools
• An accomplished networker in your daily life through social media and other mediums
• Up-to-date on digital trends, especially in the mobile, web, and email space
• Intermediate to advanced knowledge of MS Office Suite (Word, Excel, PowerPoint).

For candidates based in the United States, the pay range for this position at the start of employment is expected to be between $68,100 and $94,600/year, with an expected On Target Earnings (OTE) between $136,200 and $189,100/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, this role qualifies for a comprehensive Total Rewards package that includes equity grants of restricted stock (RSUs) so that you will own a piece of our company.

#LI-Remote, #LI-Hybrid, #LI-Remote

As an Enterprise Account Executive, you will manage a select portfolio of high-value accounts and actively pursue new strategic clients. Your focus will be on building deep relationships that drive revenue growth and ensure exceptional customer satisfaction. The ideal candidate is a strategic thinker with a proven track record in enterprise sales and account management.

WHAT YOU'LL DO

• Build and nurture trusted relationships with C-suite executives at top-tier brands, understanding their organizational complexities
• Identify and pursue net-new strategic accounts through targeted prospecting and outbound efforts
• Develop and manage relationships with high-profile accounts while actively seeking new opportunities
• Implement a consultative sales approach to identify priority business challenges and take a value-based approach to solution selling
• Collaborate with internal and external teams to ensure a seamless client experience
• Drive account expansion within assigned accounts using market insights
• Educate clients on industry trends, positioning Braze as a trusted partner
• Utilize Salesforce.com, Clari, and other CRM tools to manage sales pipelines and ensure accurate forecasting

WHO YOU ARE

• 10+ years in strategic SaaS sales, focusing on large enterprise clients, with a total of 10+ years of industry experience
• Experience in complex solution selling, with a strong background in Value Selling and Business Value Assessments
• Proven ability to source and prospect new accounts through effective outbound strategies
• Outstanding verbal, written, and presentation skills for articulating complex concepts
• Quick adaptability to new cloud applications and tools, with experience in Salesforce.com or similar CRMs
• Strong networking skills, able to navigate large organizations and identify key decision-makers
• Up-to-date on digital and application trends, particularly in the mobile space
• Willingness to travel as needed

For candidates based in the United States, the pay range for this position at the start of employment is expected to be between $137,500 and $160,000/year, with an expected On Target Earnings (OTE) between $275,000 and $320,000/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, this role qualifies for a comprehensive Total Rewards package that includes equity grants of restricted stock (RSUs) so that you will own a piece of our company.

#LI-Hybrid