Global Supply Chain Manager, Energy Storage

The Global Supply Chain Manager will work closely with engineering, operations, and other functional teams to drive suppliers election, manage supplier agreements, and optimize procurement strategies. This role will optimize cost, quality, and availability of a range of components, sub-assemblies, and finished goods in support of Redwood’s product offering.

Responsibilities will Include:

• Develop a sourcing strategy for a given set of components
• Lead supplier selection activities
• Collaborate with engineering in order to understand key requirement that must be conveyed to potential suppliers
• Drive cost reduction and inventory management strategies that ensure availability of component while minimizing inventory carrying costs
• Manage supplier performance, including quality, on time delivery, sustainability, etc.
• Become the subject matter expert for the assigned list of components and technologies
• Mitigate supply chain risks by working with cross functional teams in engineering, logistics, finance, quality etc. 
• Coordinate with cross-functional partners (Engineering, Manufacturing, Quality, Supply Chain, Finance) to support day to day operations

Desired Qualifications:

• Bachelors degree in engineering, operations, business, economic
• 5-7 years of supply chain experience
• Working knowledge of manufacturing operations, production workflows, and process improvement principles
• Ability to interpret operational, technical, and financial data to support analysis and decision-making
• Ability to travel up to 10% of time
• Effective communication and collaboration skills to work with cross-functional teams and stakeholders
• A passion for sustainability and making the world a better place!

About the role

Thatch is rewiring how health benefits work. We build software that gives employees real control over how they use their benefits.

We're looking for a Full Stack Engineer to join our Product Engagement team and improve how members and employers experience Thatch, from account creation through enrollment.

You’ll work on the product surfaces and systems that drive activation and engagement. That includes building user-facing features, the backend systems that support them, and the instrumentation needed to understand what’s working.

This is a product engineering role. You’ll work across the stack, partner closely with product and design, and ship changes that directly impact how customers experience Thatch. 

What you will do

• Own and improve core product flows related to onboarding, activation, and enrollment.
• Build and ship full stack features, from backend services to user-facing interfaces.
• Instrument product surfaces to understand user behavior and identify opportunities for improvement. 
• Design, test, and iterate on changes that improve conversion.
• Work closely with product, design, and cross-functional partners to ship solutions.
• Contribute to systems that support engagement and lifecycle messaging.

What we are looking for

• Experience building and shipping production web applications across the stack.
• Strong product judgment and comfort working through ambiguity.
• Ability to reason about user behavior and use data to inform decisions.
• Experience owning features end-to-end.
• Track record of cross-functional collaboration and good technical decision-making.

We care most about the scope you’ve owned, the impact you’ve had, and how you make decisions.

Tools and tech stack

• Ruby on Rails.
• React and TailwindCSS.
• Mixpanel, Segment, Braze.

Experience that stands out

• Work on onboarding, activation, or engagement-focused product areas.
• Experience at an early-stage or high-growth company.
• Background in healthcare, finance, or similarly complex domains.

How we work

• We move quickly and are biased toward action.
• We ship early, learn from real usage, and iterate.
• We operate with trust, ownership, and high empathy.
• We value clarity over ceremony and quality over shortcuts.

What to expect

We aim to keep the process thoughtful and efficient. Most candidates complete it within about three weeks. You can expect:

• An initial conversation with a recruiter.
• A conversation with the hiring manager.
• A collaborative pair programming session, followed by a systems design interview and a separate conversation with one of our engineering managers about how we work together.
• A final conversation with engineering and company leadership.

Operations Program Manager

We are seeking a highly technical Operations Program Manager to lead build readiness & internal ramp execution for hardware manufacturing. This role requires strong hands-on manufacturing engineering instincts, the ability to dive into process capability and equipment readiness, and real experience improving throughput, yield, and reliability at production facilities. You will manage builds from prototypes to mass production, working with cross-functional teams to ensure processes are capable and stable at scale.

Responsibilities will include:

• Drive cross-functional execution from NPI through mass production, aligning Engineering, Manufacturing, Supply Chain, Quality, Finance, and external stakeholders to meet build and ramp targets
• Define ramp success criteria, build plans, and phase-gate reviews to enable smooth transition from proto → pilot → MP → scale
• Manage program schedules, risks, and dependencies; maintain clear dashboards and communication, escalating critical issues with data-driven options for resolution
• Own factory and supplier readiness for PCBA & box builds: lead technical reviews, capacity & CapEx planning, process qualification, line bring-up, and on-site build support
• Drive yield improvement and issue closure by partnering with internal teams and manufacturing sites to validate process, test coverage, and quality systems
• Lead root cause, containment, corrective action, and long-term process improvements
• Establish run-at-rate requirements and validate capacity at suppliers and internal sites
• Identify bottlenecks and implement solutions for cycle-time reduction, debottlenecking, and throughput increase
• Serve as the primary interface between internal product teams and external manufacturing partners to ensure aligned execution and accountability
• Support go-to-market operational readiness, ensuring supply availability, logistics, and sustaining plans are in place for launch and scale

Desired Qualifications:

• 5+ years in program management, CM operations, manufacturing & process engineering, supplier industrialization, or technical operations in high-volume hardware
• Demonstrated success improving yield, throughput, cycle time, and OEE in production
• Hands-on experience with PPAP/APQP, DOE, SPC, PFMEA, GR&R, control plans
• Strong data analysis skills: Excel/Sheets; SQL, JMP, Minitab or Python beneficial
• Ability to read mechanical and electrical drawings
• Experience in automotive or power electronics manufacturing
• Experience scaling hardware production from lab/pilot → volume manufacturing

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 First Connect:

First Connect Insurance Services is a digital platform providing independent insurance agents access to top US carriers and the optionality necessary to grow their businesses. Agents can work with over 150 carriers, selling various insurance policies, including home, auto, small business, and more. We’re on a mission to overhaul the technology agents have access to, putting consumer-grade software at their fingertips. We’ve got thousands of active agents with hundreds joining monthly and we plan to accelerate our growth.

Role Overview:

The Account Manager would oversee client relationships and business operations within a designated region. In this role, you will manage key accounts, drive regional growth, and ensure exceptional client satisfaction. Goal of this position is to increase agent knowledge & understanding and ultimately production with appointed carriers as well as expansion with other carriers. The Account Manager would also provide input and participate in gathering and creating reports relating to monthly production by carrier, market intelligence, market planning and communication of development of services and incentives to agents. You are well-versed in the P&C insurance realm and have an in-depth knowledge of the industry as a whole. You are great at building long-term agency relationships and detailed in training on new products, processes and best practices.

What You’ll Do:

• Serve as the primary point of contact for clients within the assigned region.
  
  
• Develop and maintain strong, long-lasting relationships with key stakeholders.
  
  
• Regularly schedules, coordinates and conducts agent training sessions on individual and regional basis.
  
  
• Achieve and exceed sales and revenue targets for the region.
  
  
• Identify opportunities for upselling, cross-selling, and new business development.
  
  
• Collaborate with the sales team to develop and execute regional strategies.
  
  
• Conduct regular account reviews to evaluate performance and strengthen relationships.
  
  
• Use data-driven analysis to identify trends and opportunities for growth.
  
  
• Schedules, coordinates and conducts monthly internal meetings with staff to address agent touch points and new carrier updates.
  
  
• Collects and communicates feedback from agent training sessions to appropriate department to drive improvements.
  
  
• Responsible for improving overall agency production by not only training new agencies but also identifying/removing obstacles in current agency production.
  
  
• Identify opportunities and conduct agency marketing visits with appointed agencies to stimulate higher production with on-site training on multi-market solutions.
  
  
• Completes quarterly carrier evaluations to include production levels and incentive recommendations.
  
  
• Responsible for knowledge of all Carrier Markets and Products, Commission Structures, Appointment.
  
  

Must Haves:

• Bachelor's degree or equivalent work experience.
  
  
• 5+ year's experience marketing P&C including marketing to Independent Agents.
  
  
• Must have experience training and developing agency staff.
  
  
• Must demonstrate ability to problem solve and communicate well.
  
  
• Must be able to understand and review agency qualifications for appointment and make recommendations for appointment or dismissal.
  
  
• Experience selling and marketing to large territories P&C personal lines and Commercial products including homeowners, and personal auto is a plus.
  
  
• Must possess excellent written and oral communication and organizational skills including formal presentation skills before both small and large groups.
  
  
• Must be based in or willing to work in the San Jose, San Francisco, or East Bay areas of California.

Benefits & Perks:

First Connect treats its team members with the same level of dedication and care as we do our customers, which is why we’re fortunate to provide our team with: 

• Multiple medical plans to choose from and 100% employer-covered dental; vision plans for our team members and their families.
• We also offer a 401(k) retirement plan, short; long-term disability, employer-paid life insurance, Flexible Spending Accounts (FSA) for health and dependent care, and an Employee Assistance Program (EAP)
• Work-From-Home Stipend – Employer-provided WFH equipment and an $85 monthly expense stipend to ensure you’re set up for success.
• Equity - This position is eligible for equity compensation
• Training and Career Growth - Training and internal career growth opportunities
• Flexible Time Off - You know when and how you should recharge 

The base pay range for the role is $75,000 - $85,000 + Commission. Exact compensation may vary based on several job-related factors that are unique to each candidate, including but not limited to: skill set, experience, education/training, location, business needs, and market demands.

First Connect is an equal-opportunity employer, and we are committed to building a team culture that celebrates diversity and inclusion.

Applicants are considered solely based on their qualifications, without regard to an applicant’s disability or need for accommodation. Any First Connect applicant who requires reasonable accommodations during the application process should contact the First Connect People Team to make the need for an accommodation known.

Who we are

Bridge is Stripe’s fintech innovation hub focused on building a modern, stablecoin-powered cross-border payments network. We operate like a startup within Stripe: fast-paced, entrepreneurial, and product-obsessed, but with the backing of one of the most trusted names in fintech.

We’re hiring a Security Analyst / Program Manager to build and scale Bridge’s security foundation. This is a rare opportunity to design the security governance, risk and compliance programs from the ground up, while also leveraging the infrastructure, best practices, and tooling of one of the most mature security organizations in the industry.

What you'll do

• Design, and implement Bridge’s security governance, risk and compliance roadmaps from first principles to production.
• Identify and tackle Bridge’s most important security risks quickly and pragmatically.
• Adopt Stripe’s programs, controls and processes where it makes sense, and find custom approaches where it doesn’t.
• Lead risk assessment, control design and testing for all Security and Technology Oversight globally.
• Reinforce engineering best practices around secure development and infrastructure.
• Ensure Bridge meets compliance and audit expectations as we scale to more regulated markets.
• Collaborate cross-functionally with engineering, product, and Stripe’s security org to move fast without compromising safety.

About you

You might be a good fit if you:

• Have 8+ years of experience in Security GRC, ideally with time spent in fast-paced startup environments where you’ve built security practices from the ground up.
• Have a startup mindset: you’re scrappy, pragmatic, and move quickly to solve the most critical problems.
• You’re proficient with NIST CSF, OCC’s Cybersecurity Supervision Work Program and/or FFIEC IT Examination Handbook or other similar global frameworks. 
• Proven prior experience with regulatory audits from Global auditors across Security domains.
• Thrive in ambiguity and know how to ruthlessly prioritize.
• Can balance security rigor with speed, especially in fast-moving environments.
• Communicate clearly across technical and non-technical partners.
• Have experience building or scaling security programs, either at a startup or in an embedded role.
• Are excited about the potential of crypto and stablecoins to power global financial infrastructure (you don’t need deep prior knowledge—just curiosity and openness to learn).

Programmable DNA, the software of Life, is finally here! Twist Bioscience is developing a disruptive Synthetic DNA technology that will change the world, enabling widespread health and sustainability. Synthetic biologists will use our products to engineer how organisms produce cures to diseases, make everyday chemicals by using the atmosphere as the carbon source, enable plants to make their own fertilizers, and to create in-vivo diagnostics that alert us when we are sick, and many more applications.

Reporting to the Director of Commercial Project Management, the Senior Project Manager, Custom Antibodies will coordinate multiple simultaneous projects for our high-throughput Antibody/IgG offerings. You will manage project execution from the initial inquiry through final delivery. This includes managing communication between several internal departments—Sales, Customer Service, Tech Support, Operations, Product Management, Finance etc—to create quotes/Statements of Work (SOWs) and ensure customers receive proactive updates on their project’s progress.

What You’ll Be Doing

• Manage End-to-End Coordination: Oversee custom Antibody projects from intake to final delivery, ensuring smooth transitions between quoting, production, and Antibody/data delivery.
• Design & Quoting: Gather antibody design requirements to ensure quotes and SOWs accurately reflect customer needs, accurate costing, and the production team's capabilities.
• Track & Report: Prepare quotes and maintain real-time status updates in the project tracker for all issued quotations and active orders.
• Customer Communication: Serve as the primary contact for project timelines, data quality, and technical updates; respond to inquiries or route them to the correct internal expert for prompt follow-up.
• System Accuracy: Maintain precise records of quotes, orders in progress, and shipments to ensure reliable reporting.
• Process Improvement: Identify workflow inefficiencies and suggest practical ways to scale operations as the department grows.

What You’ll Bring to the Team

• Education: Bachelor’s degree in Biology, Chemistry, or a related field. An advanced degree or hands-on laboratory experience is a plus.
• Experience: 4–5 years in the life sciences. A technical background in antibody engineering and/or antibody characterization is preferred. Familiarity with Salesforce and Jira is a plus.
• Project Management: 1–2 years of experience leading scientific projects in a commercial setting, with a proven ability to manage timelines across different departments.
• Collaborative Influence: Ability to work effectively with customers and internal teams (Sales, Operations, Customer & Tech Support, Finance, etc) to move projects forward without direct authority over those teams.
• Operational Skills: Strong organizational and communication skills, with the ability to meet deadlines and maintain high standards while under pressure.
• Problem-Solving & Scalability: A track record of identifying bottlenecks in a workflow and implementing practical, organized solutions that help a team handle more volume.

About Twist Bioscience

Twist Bioscience synthesizes genes from scratch, known as “writing” DNA. Just as children learn to both read and write, the next phase of development for the genomics revolution is the ability to write DNA.

At Twist Bioscience, we work in service of people who are changing the world for the better. In fields such as health care, agriculture, industrial chemicals and data storage, our unique silicon-based DNA Synthesis Platform provides precision at a scale that is otherwise unavailable to our customers.

Twist Bioscience Corporation is an Equal Opportunity Employer. Twist Bioscience Corporation provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic characteristics, or any other category protected by law.

About Arize AI

AI is moving fast — but most teams are still flying blind once their models hit production. Arize builds the infrastructure that changes that: observability, evaluation, and iteration tools that give AI engineers real visibility into what their systems are actually doing.

We’re backed by $131M in funding — including the largest Series C ever raised in AI observability — with investors like Datadog, PagerDuty, and M12 (Microsoft’s venture fund). Our customers include Uber, Wayfair, and Tripadvisor. And Phoenix, our open-source observability tool, has become the go-to starting point for serious AI engineering teams worldwide.

We’re building the category. Now we need someone to help our customers tell that story.

The Role

Customer marketing at Arize isn’t a relationship management job — it’s a growth function. You’ll work directly with some of the most sophisticated AI engineering teams in the world, turning their wins into content, their voices into pipeline, and their communities into a compounding advantage for Arize.

You’ll sit at the intersection of product, sales, and customer success — owning the programs that help customers get more value from Arize while helping Arize grow through the customers we already have. That means building content, running programs, sourcing speakers, and creating campaigns — all with a technical audience in mind.

This is a high-visibility, high-ownership role on a lean team where what you build actually ships.

What You’ll Do

Customer Content & Storytelling

• Produce high-impact, customer-driven content across formats — video case studies, written success stories, social proof, and customer spotlights.
• Interview customers and translate technical wins into narratives that resonate with AI engineers and executive buyers alike.
• Build a library of proof points that sales, demand gen, and product can pull from.

Customer Reference Program

• Own and scale Arize’s customer reference program end-to-end — identifying advocates, managing relationships, and matching the right reference to the right opportunity.
• Partner with Sales to ensure reference coverage across segments, use cases, and industries.

Events & Speaker Sourcing

• Secure and prepare customer speakers for Arize events, webinars, conferences, and developer workshops.
• Support customer-facing events including meetups, workshops, and roundtables — from logistics to content.

Community & Advisory Programs

• Build and run programs like the Customer Advisory Board and power user groups that create tight feedback loops between customers and our product and GTM teams.
• Partner with Customer Success to amplify educational resources, best practices, and product adoption milestones.

Expansion & Adoption Campaigns

• Develop and execute campaigns that drive product adoption, increase engagement, and create upsell and expansion opportunities.
• Work cross-functionally with CS, Sales, and Product to identify expansion signals and turn them into pipeline.

What We’re Looking For

• 5+ years of experience in customer marketing, product marketing, or a closely related field — ideally at a developer tools, data infrastructure, or AI/ML company.
• Proven ability to identify customer stories and turn them into compelling content — you know how to find the narrative in a technical win.
• Experience running reference or advocacy programs and building scalable processes around them.
• Strong cross-functional collaborator — you’ve worked closely with Sales and Customer Success and understand how to support pipeline goals without losing the customer-first lens.
• Excellent written communication; comfortable writing for technical audiences without losing the thread for business stakeholders.
• Event and program management experience — you can run a webinar, coordinate a roundtable, and manage a speaker from ask to stage.
• Actively using AI in your day-to-day work — not just aware of it. You’re experimenting with AI tools to move faster, think more creatively, and do work that would have taken a team to do solo.

Nice to Have

• Background in or strong familiarity with AI/ML, LLMs, or data infrastructure.
• Experience with developer communities or open-source ecosystems.
• Familiarity with tools like Salesforce, HubSpot, or similar CRM/marketing automation platforms.
• Previous experience building CAB programs or structured executive engagement programs.

Why Arize

• We’re defining a category — and growing fast in it.
• Your work will have a direct impact on revenue, product, and community.
• You’ll work alongside some of the sharpest minds in AI infrastructure.
• Competitive salary, equity, and benefits.
• Hybrid work out of our San Francisco office.

Salary range $140,000-$175,000 dependent on experience

The Problem

Every large advertiser runs the same loop: strategist reviews performance data, decides what to test next, briefs a designer, waits for assets, hands them to a media buyer who builds campaigns across Meta and Google and TikTok, launches, monitors, repeats. The process is slow because creative production, campaign management, and performance analysis happen in three separate systems, and insights travel between them through decks, Slack threads, and weekly syncs.

Companies like Nike, Uber, and PepsiCo spend millions per month on digital ads and employ entire teams just to keep this loop turning. Most teams run 10 to 15 creative tests per month because every test requires manual work across multiple tools and teams. The result: most ad spend runs against stale creative, performance degrades from fatigue, and the gap between "what's working" and "what gets made next" is measured in weeks.

Why Agents Change This

Advertising is uniquely high-leverage for AI agents because nearly every step in the workflow is now automatable, and the steps compound:

• Research. Agents can continuously monitor competitor ad libraries, auto-classify creative by format, hook, and message, and surface positioning gaps. What used to require a strategist spending hours in Meta Ad Library happens in the background, always current.
• Creative production. Generative models can now produce ad-quality images and video. The constraint has shifted from "can AI make this" to "can AI make this on-brand and on-spec for each platform." That is a solvable engineering problem, not a research problem.
• Campaign structure. Building properly structured campaigns (naming conventions, audience splits, placement targeting, budget allocation) across five ad platforms is tedious, rules-based work. Agents can do it faster and more consistently than humans.
• Optimization. Detecting creative fatigue, reallocating budget toward winners, and knowing when to rotate in fresh variants is pattern recognition across structured data. Agents excel at exactly this.
• The compounding effect. When one agent handles the full chain (research, production, activation, analysis, iteration) as a single workflow, the cycle time collapses from weeks to hours. A team that runs 15 tests per month can run 50+, not because any individual step got faster, but because the coordination cost between steps drops to nearly zero.

Today: A performance marketing team testing new concepts on Meta and TikTok spends 2 to 3 weeks per cycle.

With agents: The marketing lead describes the objective. An agent analyzes recent performance, identifies the highest-value concepts to test, generates on-brand variants across formats, builds campaigns, launches after human approval, monitors results, detects fatigue, and queues replacements. Same team, 5x to 7x the testing volume, because the human bottleneck becomes strategy and judgment, not execution.

Why Hightouch, Why Now

Hightouch built the Agentic Marketing Platform: one system where AI agents own entire marketing workflows across lifecycle (email, SMS, push through Braze, Iterable, Salesforce, Adobe), advertising (creative production and activation across paid channels), and product experiences (real-time web and mobile experimentation). All three surfaces share the same agent infrastructure, brand and customer context, and warehouse-native data foundation. An insight the ads agent learns about creative performance can inform what the lifecycle agent sends. That shared context across every marketing surface is the product.

Ads is already live, and demand is surging. Enterprise customers are generating ad creative today with agents that analyze performance across Meta, Google, TikTok, LinkedIn, and Snapchat, produce briefs grounded in competitive research and brand guidelines, and generate ready-to-ship ad concepts. Early adoption has been strong: customers who start using it quickly expand usage across campaigns and teams, and inbound interest from enterprise prospects is accelerating. The foundation works. The opportunity is building it into a platform that captures the full advertising workflow.

What Hightouch has that no competitor can replicate:

• Agent orchestration. 25+ specialized agent skills for audience building, content generation, campaign analysis, and multi-step workflow coordination, all composable into end-to-end workflows.
• Content assembly with brand trust. Agents search existing asset libraries for reusable on-brand content before generating anything new. This is what makes output trustworthy enough for enterprises to ship without heavy review cycles.
• Marketing and brand context. A persistent layer connecting customer data, brand guidelines, creative assets, competitive intelligence, and performance history so agents operate with full business context, not generic prompts.
• Warehouse-native data foundation. 62,000 workspaces, a million data syncs per day, 300+ integrations. Customer data stays in the warehouse. No proprietary data store, no duplication, no lock-in.

The Role

You will lead the Agentic Ads Platform. The foundation exists (customers generating ads today), and the opportunity is turning it into the platform that closes the full advertising loop. Four major areas of work:

• Multi-model creative generation. Today the platform generates static images. The roadmap includes video generation, motion graphics, format adaptation, and multi-model orchestration (routing to the best model for each task). Building a creative generation pipeline that produces broadcast-quality output across formats is a hard, high-value problem.
• Marketing context and brand adherence. Making agents genuinely trustworthy for enterprise creative teams. Better context engineering so agents follow brand guidelines, business rules, legal requirements, and channel-specific policies without constant human correction. The gap between "AI-generated ad" and "ad our brand team would actually approve" needs to shrink dramatically.
• Platform depth across ad channels. Deep integrations with Meta, Google, TikTok, LinkedIn, Snapchat, and others. Not just launching ads, but understanding each platform's creative specs, optimization levers, and best practices so agents can automatically adapt creative for each channel, syndicate content across platforms, and optimize placement-level performance. Think: an agent that knows a 9:16 video with text-safe zones works differently on TikTok Reels vs. Instagram Stories and adjusts accordingly.
• Best-in-class agentic creation experience. The interaction model for how marketers work with agents to go from objective to live campaign. This means the conversational interface, the review and approval workflows, the feedback loops that help agents learn what "good" looks like for each brand, and the progressive autonomy controls that let teams start with full human approval and graduate to agent-led execution as trust builds.

Day to day, you will:

• Run deep customer discovery with performance marketing and creative teams at enterprise companies. Understand their workflows, pain points, and what would earn their trust.
• Define the product roadmap tied to revenue milestones. Sequence what to build, what to compose from existing systems, and what to partner on.
• Ship product. Work directly with engineering and design on tight cycles.
• Co-own pipeline and go-to-market. Join customer calls, shape competitive positioning, partner with CS on implementation.

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

What We're Looking For

• Zero-to-one track record. You have built products from nothing to meaningful revenue, ideally at a B2B SaaS company. The domain matters less than evidence you can find product-market fit under uncertainty.
• Technical depth. You can evaluate architectural tradeoffs, reason about things like multi-model orchestration and API integration design at the level of product decisions, and hold your own in debates with senior engineers.
• Commercial instinct. You think in terms of pipeline, conversion, and expansion. You build roadmaps that map to revenue targets.
• Speed. Small team, high autonomy, tight cycles. We use AI heavily in our own workflows and expect you to do the same.
• Cross-functional trust. This role spans engineering, design, sales, CS, and leadership. You drive clarity from ambiguity.

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

We are looking for a developer productivity engineer to take responsibility for our monorepo and the “path to production” for over 50 engineers pushing over 75 commits a day with continuous deployment to production. This presents an exciting challenge where you can apply your expertise in helping teams ship fast and safe to meaningfully improve the productivity of our engineering team. This role also provides a unique opportunity to work on a multi-cloud and multi-region infrastructure that supports a global customer base. Our monorepo is primarily Javascript/Typescript with some Go and Python. While the primary responsibility of this job is developer productivity, to fit in with the team and be productive in our codebase generally, strong computer science and development fundamentals will be required. As part of your onboarding, you’ll spend significant time writing and delivering features to gain empathy for the current dev flow.

We believe in enabling our engineers to do their best work for our customers by giving them extremely high levels of ownership and autonomy. This comes in different forms: you will own and deliver projects from start to finish, you will work directly with customers to solve their hardest scaling problems, and you will have a lot of influence over what we work on as a team and company.

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

• Own the build: You’ll be the single threaded owner for the build/test/deploy of our software and how each team fits into it
• Monorepo productivity: Detangle our build/test/deploy patterns so teams can move fast and not block each other. Investigate/implement a tool like turbo repo to speed builds and separate concerns
• Drive excellence in testing: We need to improve our top-down and team-level views into test coverage + support an ever growing matrix of data sources, data destinations, and enrichment patterns. An excellent engineer in this role will be able to “hold up a mirror” to our dev teams, helping each team understand where they have gaps
• Multi-Region and Multi-Cloud: Supporting our multi-region and multi-cloud backend, including extending it to launch Hightouch on in new regions to support data residency requirements of our global customer base
• Operational excellence: Support an increase in our ability to catch issues before they reach production and respond quickly if they do

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 $180,000 - $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 You

You are an engineer with a passion for solving hard technical problems that generate real value for customers. You’re motivated by high ownership and are comfortable in a fast-paced, startup environment.

You’ve driven significant improvement in the productivity of a 50+ person development team by making high-leverage changes to their build/test/deploy processes. While you likely have some infra chops, this is not an infra role: you have strong development fundamentals and are comfortable driving framework-level improvements across multiple teams. This could take several forms:

• You’ve been a member of a developer-productivity team/function for an outstanding development team
• You’ve organically become “the build person” at a fast-growing startup and helped bring order to chaos
• You’ve personally delivered code that has improved cross-team metrics related to developer productivity (e.g., DORA metrics, coverage, etc)

In addition to any of the above, we’re looking for someone who can dive into feature code, including complicated backend code, as needed.

Interview Process

Our goal with the interview process is to balance speed with giving both parties opportunities to assess whether there is a strong mutual fit. We will ask you questions, but we want you to ask us questions! Our technical interviews focus on how you design systems because we believe this is the best way for us to see how you work and for you to see how we collaborate. We don’t ask you to write code to solve technical brainteasers that don’t appear in your day to day job.

• Apply: Curl jobapi.hightouchdata.com on port 13784 and have followed those instructions before applying. It'll only take a minute!
• Recruiter Screen: Introductory call with our recruiting team to get to know each other and see if the role could be a good mutual fit
• System Design Screen: Designing a data processing feature end-to-end.
• Developer Productivity Skills Interview: We’ll dive into your experience making teams productive through a discussion of past projects and tooling you've used.
• Hiring Manager Interview: Chat with hiring manager about past experiences and future operating preferences to assess fit on company values and operating principles.
• System Design Interview: Work with the interviewer to architect a system at a conceptual level. The problem will be at a pretty high level - and have both product and customer requirements as well as technical.

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

About the Role

We’re looking to add a product-minded AI engineer to the team. The ideal candidate will have strong customer and product thinking, and the ability to be highly creative with LLM applications. We are looking for someone who can both rapidly prototype and architect production LLM pipelines.

Example workstreams include:

• Quickly iterating and developing proofs of concept (POCs) to explore the maximum potential of integrating AI into data and marketing workflows
• Making key decisions about the choice of AI architecture and frameworks
• Building production data agents that can make use of a company’s data to seamlessly answer analytics and data science questions about their users and marketing efforts
• Developing a deep understanding of user workflows to create seamless AI-assisted user experiences

We're seeking talented, intellectually curious, and motivated individuals interested in exploring the forefront of AI. While no prior experience with LLMs and AI is required, strong technical skills, particularly in backend architecture, and product intuition are essential for understanding and executing these projects from start to finish.

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 $180,000 - $320,000 USD per year, which is location independent in accordance with our remote-first policy.

Interview Process

Our interview process focuses on evaluating fit for the most important dimensions of the role: product sense and creativity with LLMs, ability to architect backend systems, and alignment with Hightouch’s values. Notably, we don’t do any programming interviews as we believe they are low signal to noise and aren’t a good evaluation mechanism.

• Recruiter Screen [30m]: Introductory call with our recruiting team to get to know each other and see if the role could be a good mutual fit.
• System Design Screen [60m]: Designing a data processing feature end-to-end.
• Hiring Manager Interview [30m]: Chat with hiring manager about past experiences and future operating preferences to assess fit on company values and operating principles.
• Agent Building Systems Interview [75m]: Work with the interviewer to architect an agentic system at a conceptual level. The problem will be at a pretty high level - and have both product and customer requirements as well as technical.

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

About the Role

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.

What we are looking for

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

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

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

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

In this role you will

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

Required qualifications

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

Desirable qualifications

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

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

#Mid-Senior 

About Wholesail ⛵️

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

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

The Opportunity: Risk & Capital Products 🚢

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

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

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

The Role ⚒️

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

Expect your work to span:

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

Qualifications

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

Bonus Qualifications

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

Equal Employment Opportunity

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

The Enterprise AI Engineering Team

At Okta, you’ll be part of an Enterprise AI Engineering Team that spans the US and India. You’ll work on cutting-edge Applied AI products while shaping the platform foundations that make secure, scalable AI possible at enterprise scale. If you’re passionate about building AI that is smarter, faster, and always secure, this is your opportunity to make an impact.

The Principal Product Manager, Enterprise AI Opportunity

Okta is building the next generation of AI-native enterprise products, transforming how customers, employees, and partners work. Within Technology, Data & Intelligence (TDI), we operate as Customer Zero, designing and delivering AI-powered products that reshape how Okta Secures AI and inform what we bring to market.

You’ll own the full lifecycle of AI-native enterprise products, from 0->1 innovations to 1->N scaling them into company-wide capabilities. You'll balance rapid experimentation with disciplined execution, building AI experiences that fundamentally change how work gets done.

What you’ll be doing

• Discover and validate new AI use cases (0→1 innovation)
• Build and ship AI-native experiences: agents, copilots, workflow automation
• Scale proven products into reliable, reusable capabilities (1→N)
• Define quality metrics, evaluate AI performance, and drive adoption
• Partner across IT, HR, Finance, and GTM to ensure real business impact

What you'll bring to the role

Experience:

• 10+ years in product management, with 2+ years shipping AI/ML products in production
• Track record taking products from idea → MVP → broad adoption
• Experience building AI-powered products with LLMs, agents, or RAG

Skills:

• Strong understanding of AI capabilities and how to apply them to real problems
• Ability to balance speed and quality, knowing when to experiment vs. standardize
• Experience building AI evaluation frameworks and measuring quality
• Excellent cross-functional leadership and storytelling skills
• User empathy and ability to translate complex workflows into simple experiences

Nice-to-have:

• Familiarity with responsible AI principles and enterprise compliance
• Understanding of AI operational economics (costs, latency, quality tradeoffs)
• Experience with agentic system design

Why Join Us

• Customer Zero Impact: Build products that reshape how Okta Secures AI, informing what we bring to market
• Speed + Scale: Combine startup-like innovation with enterprise rigor
• AI Leadership: Work at the intersection of identity and AI, two of the most important domains in enterprise software

What you can look forward to as an Okta employee!

• Amazing Benefits
• Making Social Impact
• Fostering Diversity, Equity, Inclusion and Belonging at Okta 

Okta cultivates a dynamic work environment, providing the best tools, technology and benefits to empower our employees to work productively in a setting that best and uniquely suits their needs. Each organization is unique in the degree of flexibility and mobility in which they work so that all employees are enabled to be their most creative and successful versions of themselves, regardless of where they live. Find your place at Okta today! https://www.okta.com/company/careers/.

Okta is an Equal Opportunity Employer/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws. If reasonable accommodation is needed to participate in the job application or interview process, please use this Form to request an accommodation.

Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy at https://www.okta.com/privacy-policy/. 

ir needs. Each organization is unique in the degree of flexibility and mobility in which they work so that all employees are enabled to be their most creative and successful versions of themselves, regardless of where they live. Find your place at Okta today! https://www.okta.com/company/careers/.

Okta is an Equal Opportunity Employer/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws. If reasonable accommodation is needed to participate in the job application or interview process, please use this Form to request an accommodation.

Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy at https://www.okta.com/privacy-policy/.

#LI-HM2

#LI-Hybrid

P23413_3432119

Our Integrated Marketing team partners closely with product, product marketing, SEO/AEO, CMS, lifecycle marketing, paid media, and web publishing to bring our brand and campaigns to life across every customer touchpoint.

As we expand our search visibility, organic social presence, and cross-channel campaign execution, we are investing in thoughtful, research-backed messaging that supports acquisition, engagement, and brand authority in the legal tech space.

About your role

• As a Content & Social Marketing Intern, you’ll support high-volume copy production across lifecycle marketing, paid media, website/AEO updates, and organic social channels. This is an early-career opportunity ideal for someone building foundational skills in copywriting, content strategy, and social marketing within a fast-paced SaaS environment.
• You’ll collaborate closely with marketing managers, designers, and video partners to adapt messaging across formats, support social listening efforts, and contribute to research-backed content. You’ll gain hands-on experience translating brand voice into multi-channel marketing assets that support growth and visibility.

How you will make a difference day to day

Support Cross-Channel Copy Execution

• Create and adapt campaign messaging across email, paid media, social, and website formats.
• Draft copy for recurring marketing initiatives, seasonal moments, and GTM launches.
• Ensure consistency in brand voice across channels and asset types.
• Update situation-based landing pages as new guidelines and formats are established.

Support Organic Social & Community Engagement

• Assist with social listening and trend monitoring to identify timely content opportunities.
• Draft responses and engage in comments across social platforms.
• Research competitors and industry conversations to inform positioning.
• Contribute ideas for social series or content pilots aligned with growth goals.

Research & Operational Support

• Conduct research for positioning claims, survey data, and performance-backed messaging.
• Organize shared documents, content libraries, and workflow trackers.
• Document recurring marketing processes and content guidelines.

Cross-Functional Collaboration & Growth

• Collaborate with the design, social, web publishing, and SEO/AEO teams to understand campaign goals and channel requirements.
• Participate in creative reviews and feedback sessions.
• Learn how messaging supports SEO/AEO, paid performance, and organic growth strategies.
• Develop foundational skills in brand storytelling, performance marketing, and content optimization.

What you’ll need

• Currently pursuing or recently completed a degree in Marketing, Communications, Journalism, Social Media, or a related field.
• Strong written communication skills with attention to tone and clarity.
• Interest in copywriting, content strategy, and social media marketing.
• Ability to manage multiple small projects and meet deadlines.
• Comfort receiving feedback and iterating on written work.
• Curiosity about digital marketing, search visibility, and audience engagement.

A plus if you have 

• Basic understanding of social media platforms and other marketing channels like email, paid ads, etc. 
• Familiarity with tools such as Figma (for collaboration), Sprout Social, and Google Docs.
• Portfolio showcasing writing samples (academic, freelance, or personal projects).
• Interest in legal tech, SaaS, or educational content.

Interview Process

• Recruiter Phone Screen
• Role Assessment(s)
• Hiring Manager Interview
• Final Interview

About the Team

The Platform Development organization powers Crunchyroll's core access and security platform. This platform includes authentication and authorization, notifications, and AI runtimes. It enables other teams to safely build fan-facing features on top of a stable, compliant, and leverageable foundation.

The team's mission is to provide reliable, secure fan access across devices and partners, integrate access services with data and compliance orchestration, and evolve notifications and AI inference into reusable platform capabilities that accelerate product and partner launches. We collaborate with product, data, security, client engineering, video, and service monetization teams to deliver seamless and secure experiences for millions of anime fans worldwide.

About the Role

As the Senior Manager, Platform Development, you will report to the VP of Platform Engineering. You will lead a team of software engineers building and operating the core services that govern how fans access Crunchyroll. These services include login, identity, authorization, partner authentication, compliance-aware account flows, notifications, and AI runtimes.

You will own the team's strategy and execution, guiding the decomposition of legacy authentication and IAM into clearer, safer platform services, stabilizing and evolving our notification stack toward a unified orchestration layer, and working with our data team to layer the foundations of a shared AI inference platform. You will lean on your engineering and leadership experience to raise the bar on architecture, reliability, security, and delivery, while hiring and developing a high-performing, inclusive team aligned to Crunchyroll's values.

We are considering applicants based in the San Francisco Bay Area.

Core Responsibilities

Team leadership and people management

• Lead, coach, and grow a team of software engineers, providing clear expectations, feedback, and career development aligned with Crunchyroll's engineering manager career ladder.
• Hire and onboard diverse talent, build an inclusive team culture, and set a high bar for engineering quality, ownership, and collaboration.

Domain ownership: access, notifications, and AI runtimes

• Own the roadmap and execution for Platform Development's core domains: authentication and identity, authorization, notifications, and AI runtimes, ensuring these services are reliable, secure, and easy for other teams to adopt.
• Partner with Data and security teams to integrate access services with compliance orchestration for GDPR/DSAR and age-assurance requirements, including data wipe/anonymization and age-based access controls in key markets.
• Define and maintain SLOs, on-call practices, and incident response workflows for your services, in partnership with SRE/DevOps and Engineering Operations.

Platform architecture and modernization

• Lead the decomposition of existing account-auth and IAM systems into well-bounded services (core auth, client policies, consent, risk/security), laying the groundwork for future capabilities like passkeys, social login, and targeted friction models.
• Guide the evolution of notifications from legacy systems toward a modern, observable Universal Notification Orchestrator, starting with critical flows such as OTP and security/compliance messaging.
• Collaborate with Data and AI/ML teams to define the vision and reference architecture for a shared AI inference platform, supporting multi-model serving, observability, and cost management for risk, security, and experience optimization use cases.

Cross-functional collaboration and stakeholder management

• Work closely with product management, program management, and partner teams to translate fan and business outcomes into a clear, prioritized roadmap for Platform Development.
• Partner with client, video, and partner engineering to improve authentication success, account linking flows, and time-to-first-play across distribution channels and devices.
• Communicate status, risks, and tradeoffs clearly to senior leadership, ensuring alignment on priorities and visible impact to fan experience, regulatory posture, and platform leverage.

Operational excellence and continuous improvement

• Ensure your team designs for observability, security, and operability, embedding testing, monitoring, alerting, and runbooks into all critical services.
• Use incident and operational data to drive learning and durable improvements, in partnership with SRE and Engineering Operations (RCA, standards, and best practices).
• Contribute to and adopt shared engineering practices across Platform Engineering, including multi-account AWS patterns, GitHub security, and self-service infrastructure and deployment workflows.

About You

We get excited about candidates, like you, because:

• You have 10+ years of experience building and operating cloud-native backend or platform services at scale, and 4+ years of experience managing engineering teams.
• You have deep experience with at least one major cloud provider (preferably AWS) and modern application architectures (microservices, event-driven systems), including APIs, queues, and data stores.
• You are proficient in one or more backend programming languages (such as TypeScript, Go, Java, or Python) and can meaningfully review designs and code with your team.
• You have led teams responsible for authentication, identity, authorization, notifications, or similar consumer access domains, with a strong understanding of security, fraud, and trust considerations.
• You are comfortable partnering on compliance and data protection topics (e.g., GDPR/DSAR, data retention, age assurance) and integrating technical systems with policy and regulatory requirements.
• You have experience working with or around AI/ML production systems—such as inference runtimes, model deployment, or ML-powered risk/scoring systems—or are eager to learn and partner closely with ML/AI teams in this area.
• You can synthesize complex tradeoffs for technical and non-technical audiences, and build trust across teams and time zones.

Why you will love working at Crunchyroll

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

#LifeAtCrunchyroll #LI-Hybrid

The Opportunity

As an AI Solutions Manager, you’ll partner with some of the most innovative AI/ML teams in the world. You’ll play a pivotal role in driving adoption, shaping product use cases, and ensuring our customers succeed in leveraging AI to achieve real-world impact. This role offers a unique chance to grow alongside a leading AI company and gain deep insights into cutting-edge AI/ML applications. 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.

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. 

As an AI Solutions Manager, your work will directly contribute to our customers’ success in deploying impactful AI solutions, ensuring their models achieve measurable business outcomes. We are looking for a fast-paced, client-obsessed candidate with an entrepreneurial mindset to nurture, and grow our customers. You’ll be working with Arize customers to help them improve the AI they use across their organizations. You will be in charge of driving customer adoption and managing customers through their renewal cycles. You’ll accomplish this by running an effective account plan, identifying expansion opportunities with new teams, and building solutions to help achieve their goals. You’ll be involved in exciting and complex customer use cases and leverage your business acumen to navigate the intricacies.

What You’ll Do

• Build and deepen relationships with AI/ML users to foster adoption, uncover new use cases, and drive expanded usage across customer accounts. This includes regular touchpoints like weekly/bi-weekly calls and ongoing account management.
• Conduct discovery with customers to understand their goals, share the Arize vision, demonstrate product capabilities, and propose tailored solutions.
• Collaborate with technical teams, including Customer Success Engineering, to address complex customer needs, ensure smooth implementation, and advise on technical best practices.
• Run workshops and training sessions with customers during onboarding and new functionality
• Run QBRs to demonstrate account value, identify areas of opportunity, and strengthen customer partnerships.
• Proactively monitor product usage across your accounts to further gauge account health
• Work closely with Account Management and Executive teams to identify upsell opportunities and align on customer health strategies.
• Effectively relay customer feature requests to internal teams and advocate for customer needs.
• Ensure support teams are aligned with customer requests and priorities.

What We’re Looking For

• 3+ years of experience as a Customer Success Manager in SaaS.
• A self-starter mindset with the ability to thrive in limited process environments.
• Exceptional organizational skills with the ability to prioritize and manage multiple customer relationships effectively.
• Strong communication skills for articulating observations and fostering collaboration across teams.
• Proven ability to demo technical products and translate their value into tailored customer solutions.
• Thrives in fast-paced environments with a customer-first mindset and a focus on delivering measurable results.
• A strong team player who values collaboration and collective success.
• Bonus: Familiarity with AI/ML workflows or GenAI technologies.

The estimated annual salary and variable compensation for this role is between $140,000 to $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.

• Conduct in-depth code reviews to identify and remediate security vulnerabilities.
• Evaluate and enhance the security of our product offerings, through RFC and service review.
• Implement and maintain CI/CD pipelines with a strong focus on security.
• Perform Static Application Security Testing (SAST) and Dynamic Application Security Testing (DAST) to identify vulnerabilities in production code.
• Utilize terraform orchestration to ensure secure and efficient infrastructure management.
• Guide engineering teams to build robust long-term solutions that consider security and privacy.
• Clearly explain the mechanics and significance of security vulnerabilities, including their exploitability and potential impact.
• Influence the security strategy and direction of the team, advocating for best practices and continuous improvement.

• Proven experience as a Security Engineer with a focus on product security.
• Proficiency in NodeJS, TypeScript, Python, and/or Kubernetes.
• Strong understanding of modern Javascript application design.
• Production experience with Kubernetes backed services
• Hands-on experience with SAST and DAST tools and methodologies.
• Familiarity with terraform orchestration for infrastructure management.
• You can structure complex problems and diagnose root causes independently, providing actionable insights without requiring manager input.
• Excellent communication skills, with the ability to clearly present technical concepts and their implications to both technical and non-technical stakeholders.
• Demonstrated ability to influence security strategies and drive improvements within a team.
• Relevant security certifications (e.g., CISSP, CEH, OSCP) are a plus.

At Scale, our mission is to develop reliable AI systems for the world’s most important decisions. The Public Sector team is at the forefront of this mission, partnering with government agencies to deploy mission-critical agentic solutions. 

Role Overview

The Public Sector GenAI T&E Product Manager will be a high-horsepower technical leader, defining the vision and owning the roadmap for our evaluation capabilities. This role requires thriving in unscripted, high-stakes environments, as you will be the primary owner for the T&E tech stack—the robust infrastructure required to continuously measure, improve, and prove the superiority and sustained performance of our agentic applications.

Traversing multiple engineering organizations across Scale, you will identify bottlenecks, distill technical friction into actionable plans, and drive execution. You will work across Scale’s commercial and public sector teams to define requirements, ensuring our evaluation services are robust enough for the most demanding government use cases. Key objectives include refining the tech stack that allows ML teams to hillclimb, and surfacing critical performance information to stakeholders.  

Minimum Qualifications (Quantifiable)

• Engineering Depth: 3+ years of experience in software engineering, systems architecture, or highly technical program management. You must be able to read code, understand system architecture, and participate in technical design reviews alongside engineering teams.
• Evaluation Systems Expertise: Proven experience designing, owning the roadmap for, or operating the infrastructure required to continuously measure, improve, and show the performance of AI applications. 
• Problem Distillation: Demonstrated experience taking a vaguely defined problem (e.g., "our evaluation cycles are too slow") and delivering a technical roadmap, resource requirements, and measurable success metrics within a narrow time window.
• Ambiguity Management: Proven track record of taking a project from "stalled/undefined" to "shipped" in a high-pressure environment. You can point to at least two instances where you inherited a failing project and saw it through to production.
• Cross-Functional Leadership: Led multiple projects that required direct alignment between at least three distinct engineering organizations (e.g., Infrastructure, ML Research, and Product).
• Operational Execution: Experience using technical project management frameworks (e.g., Linear) to provide consistent weekly reporting on delivery velocity and blockers to executive stakeholders.

Preferred Qualifications (Nice to Haves)

• Security Clearance: Active Secret, Top Secret, or TS/SCI clearance.
• GenAI Implementation: Practical experience developing or evaluating features built specifically on LLMs, RAG, or autonomous agent workflows.
• Technical Rigor: Advanced degree in Computer Science, Engineering, or a related field.
• Public Sector Expertise: 2+ years of experience working with DoD, IC, or Civil agencies on mission-critical software deployments.

Scale AI is the data engine for the entire AI industry. Our mission is to accelerate the development of AI applications by providing organizations with the high-quality data they need. The Physical AI team at Scale is focused on the next frontier: building general AI that can reason and act in the physical world. By leveraging Scale’s massive data infrastructure, we are helping frontier labs build Foundation Models for Physical AI that will redefine the future of automation.

Role Overview

As the Technical Lead Manager (TLM) for the Physical AI team of Scale, you will bridge the gap between cutting-edge Machine Learning research and physical robot deployment. You will lead a high-performing team of Research Engineers while remaining a hands-on technical contributor (~60% of your time).

Your primary focus will be the development and evaluation of Large-Scale Foundation Models (e.g VLAs, World models) that allow robots and AVs to generalize across diverse tasks, environments, and morphologies.

Key Responsibilities

Technical Leadership & Research

• Model Scaling: Direct research into scaling laws for Physical AI, determining how to best utilize massive datasets for pre-training and fine-tuning generalist policies.
• VLA and World model development: Develop novel methods for developing and evaluating models, including new Physical AI industry benchmarks
• Hands-on Modeling: Actively write code to implement, train and test SOTA architectures. Conduct research on Physical AI data collection, cross-embodiment training, and policy fine-tuning.  
• Data Strategy: Collaborate with internal labeling teams to design "robotic-native" data pipelines, including the use of VLMs for automated trajectory annotation and data synthesis.
• Collaborate closely with customers to drive the industry forward in using Scale data

Team Management & Execution

• Mentorship: Lead and grow a team of 4-6 elite Physical AI  researchers, fostering a culture of high-velocity experimentation and rigorous evaluation.
• Paper-to-Product: Translate the latest research from NeurIPS, ICRA, and CVPR into production-ready features for Scale’s Physical AI partners.
• Cross-functional Alignment: Work with cross-functional teams (e.g Product and Operations) to bring our research breakthroughs into production. 

Required Qualifications

AI/ML Excellence

• Deep Learning Mastery: Expert-level proficiency in PyTorch, with deep knowledge of Transformer architectures, Attention mechanisms, and Self-Supervised Learning.
• VLM/VLA Experience: Proven track record of working with Vision-Language Models (e.g., CLIP, PaLM-E) and adapting them for spatial reasoning or embodied tasks.
• Generative AI: Experience with Diffusion Models for sequence generation or Generative World Models for predictive modeling.

Physical AI & Software Background

• Embodied AI: Strong understanding of Physical AI stack, including imitation learning, reinforcement learning (RL), and multi-modal sensor fusion.
• Infrastructure: Experience with large-scale distributed training across GPU clusters and high-performance data loading.
• Leadership: 1+ years of experience leading technical teams or projects in a research-intensive environment.

Nice to Haves:

• Publication Record: First-author publications at top-tier AI/ML conferences (NeurIPS, CVPR, ICRA, CoRL).
• Hardware Generalization: Experience building models that work across different robot types (arms, mobile bases, humanoids).
• Sim-to-Real: Experience with high-fidelity simulators (e.g., Isaac Gym, MuJoCo) and the nuances of physical domain adaptation.

About the Role Scale is at the frontier of GenAI and human-AI collaboration. The Gen AI Ops Trust and Safety team is focused on safeguarding human authenticity and genuineness in AI training. We are looking for a highly analytical Technical Program Manager (TPM) who leans heavily into fraud analytics and data-driven strategy to protect our ecosystem.

This isn't a project management role. You will act as the lead investigative analyst and program owner for our fraud defense portfolio. Your day-to-day will involve diving deep into complex datasets to uncover hidden fraud vectors, and then translating those analytical insights into scalable rules, policies, and operational programs. By utilizing AI coding tools at high velocity, you will build out analytics pipelines, dashboards, and detection logic to shift Trust and Safety from a reactive function to a strategic one that balances safety and growth.

You will:

• Analyze large, messy behavioral events to identify ambiguous and constantly evolving fraud patterns across the contributor lifecycle.
• Translate your analytical findings into actionable detection logic. You will redesign rules, optimize thresholds, and decision flows to catch bad actors while minimizing friction for high-quality contributors.
• Establish robust KPIs, build tracking dashboards, and define offline evaluation frameworks (e.g., false positive monitoring, precision/recall analysis) to continuously measure the health of our risk strategy.
• Act as the connective tissue between data, operations, and engineering. You will use your analytical findings to implement technical execution, taking new detection capabilities from data prototype to production deployment.
• Leverage AI-assisted IDEs daily to rapidly write complex SQL queries, automate data pulls, and streamline your analytical workflows.
• Connect signals, data, and operations to see the full picture. Provide clear, direct communication regarding fraud trends and strategy shifts to both technical and non-technical partners.

Ideally, you’d have:

• 5-8 years of experience in risk strategy and fraud analytics. You have a battle-tested track record of reverse-engineering adversarial patterns, dismantling complex fraud vectors, and driving highly analytical Trust & Safety or TPM programs.
• Expert proficiency in SQL skills. You must be highly comfortable extracting insights from large datasets in noisy, adversarial environments.
• An execution-driven mindset focused on delivering measurable results, not just theoretical analysis. You are comfortable working in ambiguity and taking ownership from data problems to operational solutions.
• Strong proficiency with AI coding assistants to accelerate data exploration and query writing.
• Deep understanding of how to balance aggressive fraud detection with marketplace growth. You make decisions based on what's right for the business, not what's convenient.

Nice to haves:

• Solid Python skills (e.g., Pandas, NumPy) for advanced data manipulation and scripting
• Experience working in marketplace or gig-economy platforms is a plus

About Scale AI

Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with leading enterprises and government organizations to accelerate their AI initiatives through our data annotation platform, generative AI solutions, and enterprise AI capabilities.

Role Overview

As a Forward Deployed AI Engineering Manager on our Enterprise team, you'll be the technical bridge between Scale AI's cutting-edge AI capabilities and our most strategic customers. You'll work with enterprise clients to understand their unique challenges, lead a team that architects specific AI solutions, and ensure successful deployment and adoption of AI systems in production environments.

This is a Management role that combines deep engineering and AI expertise, leading a team, and working on customer-facing problems. You'll work directly with customer engineering teams to integrate AI into their critical workflows.

Key Responsibilities

Customer Integration & Deployment

• Partner directly with enterprise customers to understand their technical infrastructure, data pipelines, and business requirements
• Design and implement custom integrations between Scale AI's platform and customer data environments (cloud platforms, data warehouses, internal APIs)
• Build robust data connectors and ETL pipelines to ingest, process, and prepare customer data for AI workflows
• Deploy and configure AI models and agents within customer security and compliance boundaries

AI Agent Development

• Develop production-grade AI agents tailored to customer use cases across domains like customer support, data analysis, content generation, and workflow automation
• Architect multi-agent systems that orchestrate between different models, tools, and data sources
• Implement evaluation frameworks to measure agent performance and iterate toward business objectives
• Design human-in-the-loop workflows and feedback mechanisms for continuous agent improvement

Prompt Engineering & Optimization

• Create sophisticated prompt engineering strategies optimized for customer-specific domains and data
• Build and maintain prompt libraries, templates, and best practices for customer use cases
• Conduct systematic prompt experimentation and A/B testing to improve model outputs
• Implement RAG (Retrieval Augmented Generation) systems and fine-tuning pipelines where appropriate

Leadership & Collaboration

• Serve as the Engineering Manager and technical point of contact for strategic enterprise accounts
• Lead a team that is collaborating with customer data scientists, ML engineers, and software developers to ensure smooth integration
• Work closely with Scale's product and engineering teams to translate customer needs into product improvements
• Document technical architectures, integration patterns, and best practices

Problem Solving & Innovation

• Debug complex technical issues across the entire stack, from data pipelines to model outputs
• Rapidly prototype solutions to unblock customers and prove out new use cases
• Stay current on the latest AI/ML research and tools, bringing innovative approaches to customer problems
• Identify opportunities for productization based on common customer patterns

Required Qualifications

• 5+ years of software engineering experience with 2+ yrs of  Management experience with strong fundamentals in data structures, algorithms, and system design
• Production Python expertise with experience in modern ML/AI frameworks (e.g., LangChain, LlamaIndex, HuggingFace, OpenAI API)
• Experience with cloud platforms (AWS, GCP, or Azure) and modern data infrastructure
• Strong problem-solving skills with the ability to navigate ambiguous requirements and rapidly iterate toward solutions
• Excellent communication skills with the ability to explain complex technical concepts to both technical and non-technical audiences

Preferred Qualifications

Agent Development Wiz

• Deep understanding of LLMs including prompting techniques, embeddings, and RAG architectures
• Experience building and deploying AI agents or autonomous systems in production
• Knowledge of vector databases and semantic search systems
• Contributions to open-source AI/ML projects

Infrastructure Guru

• Experience with containerization (Docker, Kubernetes) and CI/CD pipelines
• Experience using Terraform, Bicep, or other Infrastructure as Code (IaC) tools
• Previous work in a devops, platform, or infra role
• Familiarity with enterprise security, compliance, and governance requirements (SOC 2, GDPR, HIPAA)

Customer Product Whisperer

• Proven ability to work with customers in a technical consulting, solutions engineering, or product engineering role
• Domain expertise in verticals like finance, healthcare, government, or manufacturing
• Experience with technical enablement or teaching programs

Sample Projects

The following are some examples of the types of projects we’ve worked on with customers. All of these projects leverage customer data, integrate directly into customers’ existing systems, and are deployed on their infrastructure.

Deep Research for Due Diligence

For a global professional services firm, we developed a sophisticated deep research agent to assist in due diligence. This agent employs a multi-agent architecture for robust fact-checking, integrates several internal MCP tools, and processes complex, unstructured data sources. This solution reliably saves employees hundreds of hours weekly.

Churn Prediction

Working with a TelCo organization, we built a model utilizing customer data to predict churn likelihood. The system then curates personalized offers based on this prediction. This model was integrated into a "next best action" copilot, enabling call center agents to proactively surface relevant offers to customers, leading to a significant reduction in churn.

Data Extraction Voice Agent

We partnered with a healthcare organization to create a lifelike voice agent and avatar designed to gather unstructured health information from patients. Engineered for low latency, the agent adeptly manages conversational flow, adheres to safety guardrails, and efficiently handles data extraction. This automation saves the organization's nurses hundreds of hours each week.

Scale AI’s Public Sector business is growing quickly as government agencies adopt AI to support critical national security, defense, and public sector missions. We’re looking for a hands-on Field Engineering Manager on the front lines leading a team of our field engineering efforts for our federal AI projects, having the opportunity to meaningfully impact millions of dollars in revenue by working closely with our largest public sector customers and ensuring that they become passionate, lifelong Scale customers. This role is ideal for someone who thrives in technical environments, enjoys managing teams while staying close to the code, and wants to work on meaningful problems that impact real world operations across the U.S. government. 

Field Engineers are software engineering generalists who enjoy working with clients directly, taking ambiguous requirements and issues, and quickly designing and building production-grade solutions in close collaboration with the Product, Engineering, and Delivery teams. Field Engineers are experts on Scale's products and codebase, and have general technical knowledge on GenAI systems, APIs, networking, and data engineering. Field Engineers are strong relationship builders, great project managers, and always fun to work with. You’ll play a critical role in delivering technical solutions—all while helping your team grow and execute.

You’ll split your time between technical planning and execution (50%) and people management and team development (50%), leading a team of 6-8 engineers. You’ll work cross-functionally with product, engineering, security, and delivery teams to ensure our engineering efforts meet complex federal compliance, security, and performance needs.

Day to day:

• 50% Field engineering - customer engagement, technical development and delivery 
• 50% Managing a growing team

You will:

• Recruit a high-performing engineering team. 
• Drive engineering productivity. Provide guidance, mentorship, and technical leadership to a team of customer facing engineers working on Generative AI projects. 
• Collaborating with cross-functional teams to define, design, and execute strategic roadmap based on customer needs.
• Work directly with customers to understand their problems and translate those into custom workflows within Scale’s platform.
• Be open to ~25% travel or relocation to a key customer geographic location.
• Collaborate with cross-functional teams to define the vision for backend solutions, ensuring they meet the unique needs of government agencies operating in secure environments.
• Implement end-to-end data integrations, syncing customer’s data to Scale’s platform and back.
• Participate actively in customer engagements, working closely with stakeholders to understand requirements and deliver innovative solutions.
• Lead end-to-end technical delivery of custom workflows from scoping to development to testing to implementation
• This role will require an active TS/SCI security clearance or the ability to obtain a security clearance.

Ideally you’d have:

• 5+ years of full-time engineering experience, post-graduation.
• 2+ years of prior engineering management or equivalent experience and previously managed an engineering team.
• Track record of success as a hybrid customer facing engineer, forward deployed software engineer, and ability to quickly adapt to different roles.
• Prior experience developing with Python and JavaScript, or other modern software languages. 
• Cloud-Native Technologies: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment. Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is a plus.
• Linux experience: Understanding of shell scripting, operating systems, etc.
• Networking experience: Understanding of networking technologies, configuration  (ports, protocols, etc) is a plus.
• Data Engineering: Knowledge of ETL (Extract, Transform, Load) processes and experience in building data pipelines to integrate and process diverse data sources. Understanding of data modeling, data warehousing, and data governance principles.
• Problem Solving: Strong analytical and problem-solving skills to understand complex challenges and devise effective solutions. Ability to think critically, identify root causes, and propose innovative approaches to overcome technical obstacles.
• Understand unique DoD and USG constraints when it comes to technology.

Scale GP is Scale’s enterprise Generative AI platform, providing APIs and infrastructure for knowledge retrieval, inference, evaluation, and intelligent automation. We power mission-critical workflows for leading enterprises by helping teams turn complex data and models into reliable, production-ready AI systems.

We’re forming a new Agentic Data Products team focused on building the next generation of agent-powered tools that ground AI in real operational workflows. Our goal is to help enterprises demystify their data layers and deploy intelligent, agentic systems that can reason over data, take action, and deliver measurable outcomes.

This is a 0→1 build team. We’re looking for a sharp, product-minded Senior Engineer who thrives in ambiguity, moves quickly, and enjoys building new systems from scratch alongside customers and cross-functional partners. You’ll work closely with product, forward-deployed engineers, data scientists, and applied AI teams to turn real-world problems into scalable, production solutions.

If you like shipping fast, owning outcomes, and working across the stack—from polished frontends to distributed backends to LLM integrations—this role is for you.

What You’ll Do

• Own major full-stack product areas, driving features from concept and design through production deployment
• Build intuitive, high-performance frontend experiences using React + TypeScript
• Develop reliable backend services in Python, working with distributed systems, data pipelines, and AI/ML infrastructure
• Integrate LLMs, vector databases, and agentic frameworks to power intelligent workflows and decision-making systems
• Ship quickly through tight experimentation loops while maintaining high quality and reliability
• Help define the technical direction and architecture of a brand-new team and product surface
• Adapt across the stack and learn new tools as needed to solve real problems end-to-end

Ideal Experience

• 5+ years of full-time software engineering experience
• 0-1 product build experience 
• Familiarity with LLMs, embeddings, vector databases, or modern AI data products/tools 
• Experience with distributed systems and cloud-based architectures
• Prior experience mentoring or leading team 

What We Value

• Strong product intuition and customer empathy
• Bias toward action and rapid iteration
• Ownership mentality — you see problems through to outcomes
• Comfort collaborating across engineering, product, data science, and applied AI
• Excitement about building agentic systems that make AI genuinely useful in the real world

Please note that in order to maintain integrity to our Scale titling philosophy, we do not internally use titles such as “senior,” but have levels to reflect seniority. Our Talent Acquisition team works closely with our employees to provide them the opportunity to grow their careers and demonstrate the scope of work in other ways aside from job titles. If you have further questions, please direct them to your recruiter and/or hiring manager, who can provide more insight.

At Scale AI, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including: generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we’re accelerating the abundance of frontier data to pave the road to Artificial General Intelligence (AGI), and building upon our prior model evaluation work with enterprise customers and governments, to deepen our capabilities and offerings for both public and private evaluations.

About Data Engine

Our Generative AI Data Engine powers the world’s most advanced LLMs and generative models through world-class RLHF (Reinforcement Learning with Human Feedback), human data generation, model evaluation, safety, and alignment. The data we are producing is some of the most important work for how humanity will interact with AI.

About our AgentOps team: 

The vision for the AgentOps team is to build the best Agent Development Platform in the AI Industry.

Agent Development is in its nascent stages in a rapidly changing industry, with limited tooling making it hard for agent developers to manage agent lifecycles. As a team that has a front-row seat to what Enterprise customers need and want, we want to build an opinionated but flexible platform for all Agent operations ("AgentOps"), including building, deploying, monitoring, evaluating and improving agents to solve customer needs.

With the AI industry currently moving towards RL workflows that need verifiable rewards, we further want to gear this platform towards knowledge capture that create compounding effects to make Agents more effective and capable. We want to create a virtuous data flywheel where agents built using this platform see continuous performance improvements and increase customer value over time.

We are a rapidly growing team with ambitious goals, and are looking for motivated individuals to join us to make an impact in a green-field domain.

Responsibilities:

• Manage the engineering team and drive technical delivery
• Comfortable working cross functionally, whether that be internal or external customers
• Work across the entire product lifecycle from conceptualization through production
• Build features end-to-end: back-end, system design, debugging and testing
• Deliver experiments at a high velocity and level of quality to engage our customers
• Influence the culture, values, and processes of a growing engineering team
• Inspire and mentor engineers
• Collaborating with cross-functional teams to define, design, and ship new product features and experiences

Requirements:

• At least 5 years of relevant experience and at least 2 years of experience managing engineers is preferred
• Proven success in leading, managing, and developing high-performing Engineering teams
• Expertise in identifying product engagement patterns and trends for large scale consumer products
• Track record of shipping high-quality products and features at scale
• Desire to work in a very fast-paced environment
• Ability to turn business and product ideas into engineering solutions
• Excellent problem-solving skills, and be able to work independently or as part of a team.
• Excited to join a dynamic, hybrid team in either San Francisco or New York City.

We are seeking a highly technical Security Engineer to join our Product Security team. This role is integral to ensuring the security and integrity of our products and services. You will conduct in-depth code reviews, implement security best practices, and influence the overall security strategy. Your expertise in TypeScript, Python, AWS, CI/CD, SAST, DAST, and terraform orchestration will be crucial in identifying and mitigating potential security vulnerabilities. You will also structure complex problems, diagnose root causes independently, and clearly explain the mechanics and significance of security vulnerabilities, including their exploitability and potential impact.

You will:

• Leverage broad product security expertise to build and maintain software tooling that secures every layer of the modern AI/ML software ecosystem.
• Conduct in-depth code reviews to identify and remediate security vulnerabilities.
• Evaluate and enhance the security of our product offerings, through RFC and service review.
• Implement and maintain CI/CD pipelines with a strong focus on security.
• Perform Static Application Security Testing (SAST) and Dynamic Application Security Testing (DAST) to identify vulnerabilities in production code.
• Utilize terraform orchestration to ensure secure and efficient infrastructure management.
• Guide engineering teams to build robust long-term solutions that consider security and privacy. 
• Clearly explain the mechanics and significance of security vulnerabilities, including their exploitability and potential impact.
• Influence the security strategy and direction of the team, advocating for best practices and continuous improvement.

Ideally, you’d have:

• Demonstrated ability to drive multi-month security initiatives independently, from problem definition through execution, without requiring significant direction.
• Proven experience as a Security Engineer with a focus on product security.
• Proficiency in NodeJS, TypeScript, Python, and/or Kubernetes.
• Strong understanding of modern Javascript application design.
• Production experience operating and securing AWS infrastructure at scale.
• Hands-on experience with SAST and DAST tools and methodologies.
• Familiarity with terraform orchestration for infrastructure management.
• You can structure complex problems and diagnose root causes independently, providing actionable insights without requiring manager input.
• Excellent communication skills, with the ability to clearly present technical concepts and their implications to both technical and non-technical stakeholders.
• Demonstrated ability to influence security strategies and drive improvements within a team.
• Relevant security certifications (e.g., CISSP, CEH, OSCP) are a plus.

Scale AI accelerates AI development by providing high-quality training data and infrastructure. We work with leading organizations to solve complex problems, enabling them to build transformative AI models. Join our team to shape the future of AI and push the boundaries of innovation.

We are looking for a versatile Senior Motion Designer to join the Brand Studio at Scale AI. This is an exciting opportunity to help evolve Scale's brand, creating dynamic visual narratives for brand storytelling, translating creative direction into animated content and videos across a wide range of initiatives, including marketing campaigns, events, creative content development, and cross-functional collaborations. The ideal candidate is scrappy, thrives in a fast-paced, dynamic environment, is willing to experiment, and has exceptionally strong design fundamentals.

You will:

• Creative Execution: Lead the end-to-end production of high-fidelity motion graphics, from initial concept to final rendering and delivery
• Experimental R&D: Dedicate time to research and development of new design concepts, experimenting with emerging motion trends and technologies to keep the brand at the forefront of the AI industry
• Process Innovation: Develop and optimize motion workflows, including the integration of generative AI tools to improve team efficiency and output quality
• Design Excellence: Apply a high degree of taste and rigorous design fundamentals to all experimental work, ensuring that even the most "scrappy" or innovative explorations maintain brand integrity 
• Narrative Storytelling: Translate complex technical data and AI concepts into compelling visual narratives that resonate with both developer communities and executive stakeholders

Ideally you'd have:

• Experience: 5+ years of professional experience in motion design or creative production, ideally within a high-growth technology company, world-class agency, or culturally-defining brand
• Design Fundamentals: Exceptional command of typography, color theory, and composition
• Adaptability: Proven ability to thrive in "scrappy" and ambiguous environments, managing rapid-fire R&D alongside long-term strategic projects
• Collaborative Spirit: Experience working in multidisciplinary teams and a track record of fostering a culture of continuous learning and mentorship

Nice to haves:

• Experience in node based motion software such as TouchDesigner, Cavalry
• 3D software experience - Cinema 4D, Blender, or Houdini
• Generative AI tooling - Kling, Runway, Midjourney, Flora, Krea, etc. 
• Background in creative production
• Experience working with global teams and managing remote collaborations

Why Join Scale AI?

• Work on cutting-edge AI projects that shape the future of technology
• Join a talented, collaborative team that values creativity and innovation
• Competitive compensation and benefits

How to Apply

If you are excited about contributing to the future of AI and believe you have the skills and experience to excel as a Senior Motion Designer at Scale AI, we’d love to hear from you! Apply today with your resume and a brief cover letter.

Please note that in order to maintain integrity to our Scale titling philosophy, we do not internally use titles such as “senior,” but have levels to reflect seniority. Our Talent Acquisition team works closely with our employees to provide them the opportunity to grow their careers and demonstrate the scope of work in other ways aside from job titles. If you have further questions, please direct them to your recruiter and/or hiring manager, who can provide more insight.

About the Team

This role will lead either our Gateway or Agent team, depending on your experience and interests.

Both teams sit on the critical path of every ngrok connection and are central to our reliability, performance, and customer trust.

• Gateway Team: Owns the core infrastructure that handles and shapes all traffic flowing through ngrok—routing, security enforcement, rate limiting, and observability. Every request passes through this layer, and its correctness and performance are foundational to everything we do.
• Agent Team: Builds the software that runs on the customer side of every connection. The Agent is what developers install and trust to securely expose their systems to the internet, and it must perform reliably across unpredictable, real-world environments.

What You’ll Actually Do

Lead a team that ships and learns quickly

You’ll manage and coach a team of 5–7 engineers. The goal isn’t just shipping—it’s building a team that can consistently make good decisions, move fast, and improve over time.

Treat management like a systems problem (with humans in the loop)

You’ll design how your team works: planning, execution, retros, feedback loops, and decision-making. You’ll tune the system, not just react to it.

Stay close enough to the code to matter

You won’t be coding every day, but you’ll get into the details when needed—reviewing designs, debugging tricky issues, and helping the team make better technical tradeoffs.

Drive product and technical direction together

This isn’t “just execution.” You’ll help shape what the team builds—balancing product work, technical investments, and experiments that actually teach you something.

Build a team people want to be on

You’ll coach junior and senior engineers, create psychological safety, and raise the bar on both performance and collaboration.

Connect the team to the bigger picture

You’ll make sure your team understands how their work ties to ngrok’s product, customers, and business. Context isn’t optional here. You’ll work closely with senior leadership and functional orgs to shape and meaningfully impact company culture and roadmap.

You Might Be a Great Fit If…

• You’ve spent 5+ years as a software engineer and comfortable in Go, Rust, Java, or C/C++
• You have 4+ years of engineering leadership experience
• You think in systems—whether that’s distributed systems or team dynamics
• You’re comfortable zooming in (code, debugging) and zooming out (strategy, org design)
• You’ve built things from scratch—teams, processes, or products
• You communicate clearly, directly, and without unnecessary fluff

Bonus points if you’ve:

• Contributed to open source, blogs, or conferences
• Worked in developer tools or product-led growth environments
• Built teams in ambiguous, early-stage contexts

Tech Stack

ngrok runs entirely on AWS. Engineers develop by using remote development tools and/or ssh to connect to remote EC2 environments that run a full Kubernetes cluster of the ngrok stack, closely mirroring production. The codebase is primarily Go and TypeScript. We use Postgres for persistence, Kafka for streaming, Protobuf for service boundaries, and Kubernetes, Terraform, Helm, and Buildkite to operate and ship reliably. React is used for user interfaces, and GitHub supports our development workflows and remembers everything.

Location

This is a remote position for candidates outside of the Bay Area and a hybrid role for candidates within commuting distance to San Francisco. Our Bay Area employees commute to the office on Tuesdays and Wednesdays.

Sponsorship

All candidates must be US-based, and legally authorized to work in the United States.

At this time, ngrok is unable to provide visa sponsorship for this position. Applicants must be authorized to work in the United States on a permanent, ongoing basis without the need for current or future sponsorship.

Compensation

Engineering Manager: $225,000 – $275,000

Job level and actual compensation will be evaluated based on factors including, but not limited to, qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), internal equity with other team members, market data, and specific work location. We provide an attractive mix of salary and equity.

#LI-Remote

About Us

At Prenuvo, we are on a mission to flip the paradigm from reactive “sick-care” to proactive health care. Our award-winning whole body scan is fast (under 1 hour), safe (MRI has no ionizing radiation), and non-invasive (no contrast). Our unique integrated stack of optimized hardware, software, and increasingly AI, coupled with the patient-centric experience across our domestic and global clinics, have allowed us to lead the change against “we caught it too late again".

We're looking for a Senior Frontend Engineer to join our eCommerce team, focusing on optimizing user experience, reducing friction in booking flows, and driving growth through continuous experimentation. You will be a key contributor to our online booking platform—a critical, revenue-driving application that guides customers through scan selection, scheduling, and payment. If you have a startup mentality, a passion for data-driven decisions, and the technical depth to own features from concept to production, this is a high-impact role that directly influences conversion rates, customer satisfaction, and core business metrics.

Help reshape the world through proactive healthcare while working with cutting-edge technology and high performing teams with deep expertise - join us to make a difference in people’s lives!

What You’ll Do

• Optimize the User Experience: Identify and eliminate friction points in the booking funnel, optimize page load performance, and ensure WCAG accessibility compliance across all flows.
• Drive Experimentation & Growth: Design, implement, and analyze A/B tests using a platform like PostHog or DataDog. Build feature flag infrastructure for gradual rollouts and track conversion metrics at each stage of the funnel.
• Own Frontend Architecture: Build highly responsive interfaces using a hook-first architecture (separating business logic from presentational components) and modern state patterns (optimistic updates, single-flight request patterns).
• Ensure Reliability & Observability: Set up and maintain Datadog RUM dashboards, implement comprehensive error tracking, and debug production issues to maintain high system reliability.
• Champion Testing & Quality: Write and maintain robust E2E tests (Playwright) for critical booking flows and ensure high component test coverage (Vitest, React Testing Library).
• Implement Secure Integrations: Build secure authentication flows (Auth0, OAuth 2.0) and handle payment processing data (Stripe, Affirm) according to strict PCI and frontend security standards.
• Collaborate & Mentor: Work autonomously while surfacing blockers early. Mentor junior engineers, partner closely with Product and Design, and comfortably challenge product decisions using data.

What You’ll Bring

• 5+ years of professional frontend software engineering experience, with a deep understanding of React (React 19 preferred, including hooks and functional components).
• Strong proficiency in TypeScript (strict mode, generics, type safety).
• Solid experience with modern state management (Zustand, TanStack Query) and utility-first CSS (Tailwind).
• A strong track record of writing, maintaining, and debugging automated tests using Playwright, Vitest, and React Testing Library.
• Hands-on experience with monitoring and experimentation tooling (Datadog RUM, PostHog, or similar).
• A data-driven, user-focused mindset: you empathize with customer pain points and make decisions based on metrics rather than opinions.
• A strong "startup mentality": you are comfortable with ambiguity, know how to balance speed with quality, and take deep ownership of outcomes.
• Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.

Nice to Have

• Experience with e-commerce, checkout flows, or headless commerce platforms (e.g., CommerceTools).
• Experience with design systems and mobile-first design implementation.
• Experience with component libraries (e.g., Material UI) and implementing mobile-first design systems.
• Deep performance optimization expertise (Core Web Vitals, bundle optimization).
• Knowledge of Google Tag Manager (GTM) and Google Analytics 4 (GA4).
• Experience with Next.js (App Router, SSR/SSG patterns).
• Familiarity with healthcare or heavily regulated industries.

Our Values

First: we are Pioneers

• Transforming healthcare requires divergent thinking, bias for action, disciplined experimentation, and consistent grit and determination to maintain momentum. This journey is as challenging as it is rewarding.

Second: we are Platform-Builders

• We’re always building foundations that allow us to achieve tomorrow more than we did today. We never lose sight of what’s ahead – in a mindset of ownership and duty to our mission.

Above all: we are Patients

• We could all be the next person who walks through our very doors, seeking clarity or peace of mind. We are proud of our impact on our patients’ lives, and we won’t stop till everyone can benefit from our work.

What We Offer

• An avenue to make a positive impact on people's lives and their health
• We believe in preventative healthcare for everyone, including our team - Prenuvo provides free, whole-body scans to each team member 
• Growth opportunities are at the heart of our people journey, we’re doing big things with bright minds - there is no single path to success, it can be shaped along the way
• Building strong relationships is at the core of everything we do - our team gets together each week to connect, share, and socialize 
• Recognizing time away to restore is vital to our wellbeing - we have a flexible vacation policy and we will encourage you to use it
• We now offer the Prenuvo’s Commuter Benefits Plan to help cover your transit and parking costs. Whether you ride, drive, or park, we’ve got you covered—making your commute easier and more affordable! 
• Prenuvo offers a 401(k) retirement savings plan to eligible employees, allowing team members to make pre-tax contributions toward their retirement. While Prenuvo facilitates access to the plan, the company does not currently offer matching contributions.
• We offer a comprehensive benefits package including health, dental, vision, including Mental Health coverage, to support you and your family
• The base salary for this role is $175,000 to $190,000 in local currency, depending on experience and geographic location

We are an equal-opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

As part of the hiring process, successful candidates will undergo a background check in compliance to applicable federal, provincial, and state rules.

Please be advised that official communication from our recruitment team will only come from our authorized domain [prenuvo.com]. If you are contacted by a recruiter, please ensure their email address ends with @prenuvo.com. We do not use third-party recruitment services or any other email domains for hiring purposes. If you receive communication that you believe to be fraudulent, please report it immediately to jobs@prenuvo.com.

About the Role:

The Engineering Program Manager (EPM) at Planet will be a fearless organizer and an excellent cross-functional leader, working with multiple teams inside Planet, and with our external customers and manufacturing partners. A successful candidate will help set strategy, drive problem-solving efforts, eliminate roadblocks, execute on schedule, and be responsible for managing and communicating status and issues along the way. The position demands broad technical strength and experience in multiple areas of spacecraft design and manufacturing. 

This is a full-time, hybrid role which will require you to work from our San Francisco office 3 days per week. Travel to Europe is also expected. 

Impact You’ll Own:

• Lead satellite development programs from planning and requirements definition through critical design, build, test, and launch.
• Ensure efficient execution of all program phases, including MCR, SRR, PDR, CDR, IRR, SRR, and LRR.
• Develop project schedules and budgets and track performance across all project phases.
• Oversee execution of technical plans at all levels, both internally and with external suppliers, including project definition, budgeting, and long-term strategic planning.
• Collaborate and coordinate with external stakeholders, including suppliers, partners, vendors, and customers, to manage deliverables, technical plans, and program milestones.
• Coordinate schedules, priorities, and status updates with engineering, manufacturing, teams, stakeholders, and management.
• Work directly with multiple engineering teams and cross-functional stakeholders to drive productivity and progress on concurrent projects.
• Develop tools and processes to measure and improve engineering productivity.
• Drive root cause problem-solving, identify, and eliminate blocking issues.
• Work directly with Program Management, Manufacturing Operations, Supply Chain, Compliance, Facilities teams to drive progress on concurrent manufacturing lines and initiatives
• Lead manufacturing ramp programs from early factory engagement and readiness through key build phases into production.
• Drive root cause analysis for complex engineering and manufacturing issues, identify and eliminate blocking problems, and implement robust corrective actions.

What You Bring:

• A BA/BS degree in Aerospace Engineering, Mechanical Engineering, Electrical Engineering, Manufacturing Engineering, or a related technical field.
• 6+ years of relevant experience of program management in  aerospace, manufacturing or similar industry.
• Excellent written and verbal communication and facilitation skills, including externally to customers.
• Experience in an engineering program management role for the development and ramp of hardware systems in a cross-functional context.
• Ability to be self-motivated and enthusiastic with creative and critical thinking capabilities.
• Experience working with and managing external contract manufacturers (CMs), suppliers, and vendors to drive program success.
• Excellent written and verbal communication and facilitation skills, with the ability to present complex technical information clearly to diverse audiences.
• Ability to travel internationally, specifically to Europe.

What Makes You Stand Out:

• Experience with scaling systems on satellite manufacturing
• Experience successfully delivering hardware products through the entire New Product Introduction (NPI) lifecycle.
• Excellent problem-solving, organizational, and analytical skills, with the ability to drive strategy based on data.
• Professional fluency in Swedish or German.

Application Deadline:

April 10, 2026 at 11:59pm PT

EAR/ITAR Requirements:

This position requires access to export-controlled information, and as such, employment (or hiring of a contractor) is contingent upon the candidate’s ability to access all applicable export-controlled information without additional export licensing being required by the Bureau of Industry and Security and/or the Directorate of Defense Trade Controls.

Benefits While Working at Planet:

These offerings are dependent on employment type and geographical location, based upon applicable law or company policy.

• Comprehensive Medical, Dental, and Vision plans
• Health Savings Account (HSA) with a company contribution
• Generous Paid Time Off in addition to holidays and company-wide days off 
• 16 Weeks of Paid Parental Leave
• Wellness Program and Employee Assistance Program (EAP)
• Home Office Reimbursement
• Monthly Phone and Internet Reimbursement
• Tuition Reimbursement and access to LinkedIn Learning
• Equity
• Commuter Benefits (if local to an office)
• Volunteering Paid Time Off

Compensation:

The US base salary range for this full-time position at the commencement of employment is listed below.  Additionally, this role might be eligible for discretionary short-term and long-term incentives (bonus and equity). The final salary range is determined by job related experience, skills and location.  The range displays our typical hiring range for new hire salaries in US locations only.  Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

As a Staff Backend Engineer at Snorkel, you will set the long-term technical direction and strategy for our Expert Contributor (EC) Platform. You will be responsible for defining and driving complex, multi-quarter architectural initiatives that ensure our services are innovative, scalable, and resilient. Your work will bridge the gap between human expertise and machine learning by enabling domain experts to provide high-signal data for training and refining state-of-the-art models.

Main Responsibilities

• Design and develop mission-critical systems for the end-to-end Expert Contributor (EC) lifecycle, focusing on automated onboarding workflows, performance management, and contributor retention.
• Build robust features and integrations with key third-party services, including platforms for assessments and Employer of Record systems.
• Automate supply and allocation logic to efficiently manage and deploy a high volume of ECs to various data collection projects, ensuring optimal coverage and quality.
• Prototype, optimize, and maintain scalable services to power complex data user management pipelines.
• Set the strategy and architecture for build systems, testing frameworks, and CI/CD pipelines.
• Lead the transition from scheduled releases to a robust, automated continuous deployment framework, taking end-to-end ownership of the release pipeline.
• Build proactively with empathy for both customers and subject matter experts using our tools.
• Mentor and guide Senior and Mid-level engineers on technical design, best practices, and project execution across multiple teams.
• Partner with cross-functional teams to design and deliver improvements to dev-infra, release processes, and internal tooling.
• Engage with product managers, designers, and ML experts to create a phenomenal user experience for data acquisition and refinement.

Qualifications

• 8+ years of software engineering experience developing performant, intuitive, and scalable web application architectures and 2+ years working at a Staff level or equivalent
• Strong background in developer productivity, distributed systems, and cloud platforms (AWS preferred).
• Expertise designing REST for internal services and developers.
• Experience developing and shipping enterprise software products, specifically those focused on data collection, or machine learning applications.
• Track record of leading complex engineering initiatives, influencing stakeholders, and delivering measurable impact.
• Ability to work in a fast-paced environment with strong technical communication skills.

Nice to Have

• Experience in hyper-growth startup environments or scaling engineering orgs.
• Experience with AI development workflows, AI-assisted code generation, or SRE automation or strong excitement to learn.
• Prior experience as a Tech Lead Manager (TLM) or equivalent role with a focus on cross-functional technical leadership and mentorship.

Work Schedule

• Work a hybrid schedule with three days per week in our Redwood City HQ or the SF office.

The Team

Platform Engineering is the department within SRE that is responsible for a range of critical infrastructure and operational functions that support the broader engineering organization. Among these are our multi-cloud-provider Kubernetes infrastructure, networking, load balancing (including our public-facing edge and internal service mesh), and observability and alerting systems.

The Fleet Management team provides the core runtime environment that empowers our developers to build and ship products to delight our customers. We manage the end-to-end lifecycle of our Kubernetes fleet, alongside the critical components that ensure cluster reliability and security (e.g., CoreDNS, cert-manager, and Gatekeeper). As our infrastructure scales to support new use cases and products, we are spearheading a migration from Terraform-based Infrastructure as Code (IaC) to an Operator-driven lifecycle management model.

This role can be based out of our Austin, Boston, Los Angeles, New York City, Raleigh, or San Francisco offices, remotely in the United States region, or our European office in Dublin.

Responsibilities

• Contribute to developing and maintaining a scalable and secure runtime environment on top of Kubernetes that supports product needs across MongoDB
• Provide internal support for our Kubernetes ecosystem, partnering with engineering teams to help them solve domain-specific problems
• Participate in a 24/7 on-call rotation to resolve critical issues
• Prioritize blameless post-mortems and dedicate engineering time to systemic fixes, ensuring you aren’t paged for the same issue twice

You may be a good fit if you

• Have 6+ years of experience in software development and operating distributed systems
• Are proficient in Go, Python, or a similar language, with a strong commitment to code quality and testing practices (writing unit, integration, and E2E tests)
• Have deep experience using and extending containerization technologies, preferably Kubernetes
• Have a solid understanding of Linux operating system internals and networking concepts (e.g., filesystems, TCP/IP, DNS, TLS)
• Possess a customer focused mindset, treating internal developers as your primary users
• Have strong operational ownership, including a track record of debugging complex production issues and driving them to resolution
• Prefer automation over manual processes ("allergic to ops work")
• We are a small team of software engineers with a strong bias toward building software solutions to eliminate toil

Strong candidates may also have experience with

• Designing and implementing secure, multi-tenant runtime environments from first principles
• Proficiency with Kubernetes ecosystem tools such as Helm, Kustomize, Gatekeeper, Kyverno, and CRDs/Operators, CRI, CSI
• Expertise in cloud infrastructure platforms, including AWS, GCP, or Azure
• Proficiency in provisioning infrastructure using tools like Terraform, Crossplane, and AWS Controllers for Kubernetes (ACK)
• Advanced Linux systems internals and networking concepts specifically relevant to containers, such as namespaces and cgroups

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: 426182

The role 

We’re seeking a Field Marketing Manager to design and execute localized marketing programs that connect our NeoCloud AI infrastructure solutions with high-potential customers, partners, and alliances.

In this role, you’ll own the regional go-to-market (GTM) plan for the West Coast U.S., collaborating with sales, partner, and product teams to build awareness, drive demand, and accelerate revenue within one of our fastest-growing territories.

Location: This is a remote role within the United States. Candidates located in the San Francisco Bay Area, Denver (CO), Austin (TX), or the DFW Metro are preferred. Strong candidates based in the Central, Mountain, or Pacific time zones will also be considered.

Your responsibilities will include: 

Regional Strategy & GTM Planning

• Define and execute your regions field marketing plan aligned to Nebius’ North America GTM strategy, revenue targets, and AI-cloud growth objectives.
• Identify priority verticals and clusters in the region (enterprise AI, finance, healthcare, retail, and media & entertainment).
• Translate global campaigns into localized programs that resonate with technical and executive buyers.

Sales & Partner Alignment

• Partner with regional sales leaders, solutions architects, and business development to align on pipeline coverage, target accounts, and co-marketing initiatives.
• Collaborate closely with Vertical GTM team leads to ensure field programs reinforce priority industries, solution narratives, and territory goals—creating a unified GTM motion from awareness through pipeline conversion.
• Support regional account-based marketing (ABM/ABX) motions for top enterprise and strategic accounts.

Field & Partner Campaign Execution

• Plan, manage, and execute regional events, workshops, executive roundtables, and innovation labs showcasing Nebius’ AI/ML and NeoCloud capabilities.
• Build developer and data-science community engagement through hackathons, meetups, and partnerships with regional universities and AI accelerators.
• Manage regional sponsorships and Nebius presence at high-impact industry conferences (e.g., AWS re:Invent, NVIDIA GTC, MIT AI Conference).

Insights & Measurement

• Track and analyze field performance metrics: leads generated, pipeline influenced, partner-sourced opportunities, and ROI.
• Capture real-time feedback and customer insights from the field to help shape product positioning, content strategy, and global messaging.
• Use intent data and CRM analytics to optimize account targeting and campaign efficiency.

Budget & Operations

• Own your regions field marketing budget—forecast spend, manage vendors, and ensure strong ROI discipline.
• Maintain operational excellence through collaboration with demand generation, marketing operations, and creative teams.

Cross-Functional Collaboration

• Work closely with Product Marketing, Partner Marketing, and Sales Enablement to deliver cohesive storytelling and thought leadership in the field.
• Contribute to global initiatives while serving as the regional voice to headquarters—advocating for opportunities, challenges, and innovations.

We expect you to have: 

• 7+ years of B2B field and partner experience in cloud, AI, or enterprise tech, with proven pipeline impact.
• Deep understanding of AI/ML infrastructure, data platforms, and cloud ecosystems (AWS, Azure, Google Cloud, or similar).
• Proven ability to plan and execute localized marketing programs across diverse markets in the U.S.
• Hands-on experience with account-based marketing, partner co-marketing, and demand-generation tools (Salesforce, Marketo, HubSpot, 6sense).
• Strong analytical mindset; comfortable with dashboards, campaign metrics, and ROI analysis.
• Exceptional communication, collaboration, and stakeholder-management skills across sales, partners, and technical audiences.
• Bachelor’s degree in marketing, Business, or related field (MBA preferred).
• Willingness to travel 25 - 30% for events, team and community engagements.

Key employee benefits in the US:

• Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families.
• 401(k) plan: Up to 4% company match with immediate vesting.
• Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers.
• Remote work reimbursement: Up to $85/month for mobile and internet.
• Disability & life insurance: Company-paid short-term, long-term and life insurance coverage.

Compensation

We offer competitive salaries, ranging from $150k - $185k OTE based on your experience.

• Strategic partner engagement: Build and deepen relationships within NVIDIA's extended GTM organization, ensuring alignment with Nebius’ strategic goals and objectives
• Business development: Identify new partnership opportunities within NVIDIA's partner ecosystem, driving incremental revenue growth
• Collaboration with leadership: Work closely with hiring manager to align on strategic priorities, partner initiatives and business growth opportunities.
• Contract negotiation and execution: Partner with team members to negotiate agreements, finalize contracts and ensure smooth implementation of sales enablement initiatives.
• Sales alignment: Collaborate with sales teams to ensure seamless integration of partner activities into the broader sales strategy, tracking progress against key metrics.
• Performance analysis: Monitor and analyze partner performance, providing actionable insights to refine programs and maximize impact.
• Travel: Domestic 25–50%, Weekly to monthly.

• A minimum of 7-10 years of channel management experience, with a proven track record of working with enterprise-level partners in the SI, MSP, and VAR sectors. Experience working with enterprise customers to scale and drive adoption of cloud-based solutions is essential. Experience working with NVIDIA is a strong plus.
• Strong, existing relationships with key SIs, ISVs, and MSPs who have a track record of serving enterprise customers. You should be able to leverage this network to accelerate the growth of Nebius' partner ecosystem.
• Strong technical knowledge of cloud-based solutions, with experience enabling partners to sell complex products (preferably GPU IaaS or similar cloud infrastructure solutions) to enterprise customers.
• Demonstrated experience in working with enterprise sales teams and marketing functions to co-create sales strategies, develop marketing materials, and execute joint initiatives that resonate with large-scale enterprise customers.
• Ability to develop high-level strategic plans for enterprise channel growth while also diving into the tactical aspects of partner enablement, contract negotiations, and performance tracking.
• Experience selling, enabling, and supporting enterprise solutions, particularly in cloud, IaaS, and GPU-based offerings. Comfort in understanding and articulating the technical value of solutions to both technical and business stakeholders within enterprise accounts.
• Demonstrated success in driving revenue growth and scaling partner ecosystems in an enterprise context.
• Ability to present Nebius effectively on presentations, with senior leadership, technical teams, and enterprise partners, ensuring clear and actionable messaging around Nebius’ offerings.  

Key employee benefits in the US:

• Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families.
• 401(k) plan: Up to 4% company match with immediate vesting.
• Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers.
• Remote work reimbursement: Up to $85/month for mobile and internet.
• Disability & life insurance: Company-paid short-term, long-term and life insurance coverage.

Compensation

We offer competitive salaries from $330,120- $392,600 OTE based on your experience.

• Own and build Nebius’ ISV partner ecosystem from the ground up with your key target accounts — defining strategy, segmentation, onboarding models, and long-term growth frameworks
• Identify, recruit, and close high-impact AI and ISV partners that can drive net-new customer acquisition and revenue growth
• Develop and scale repeatable co-sell motions, embedding partners into Nebius’ core sales plays and strategic opportunities
• Drive partner-sourced and partner-influenced pipeline, with a strong focus on net-new accounts and expansion
• Build structured frameworks for joint business planning, pipeline generation, forecasting, and performance management
• Lead joint go-to-market execution, ensuring partners are actively generating demand and influencing deals
• Drive partner technical readiness and platform adoption through onboarding, enablement, and joint solution development
• Act as a key architect of Nebius’ partner program, including co-sell models, incentives, and engagement frameworks
• Stay deeply connected to the AI ecosystem, identifying emerging players, trends, and high-leverage partnership opportunities
• Represent Nebius across industry events, ecosystem forums, and strategic partner engagements
• Serve as the voice of partners internally, working cross-functionally with Sales, Product, Engineering, Marketing, Legal, and GTM teams

• 10+ years of experience in partnerships, business development, or indirect sales within B2B technology
• Strong understanding of the AI/ML and cloud ecosystem (infrastructure, models, data pipelines, ISVs, tooling
• Proven track record of building partner ecosystems from early stages — not just managing existing relationships
• Demonstrated ability to source, negotiate, and close strategic partnerships that drive measurable business impact
• Proven success in driving net-new pipeline, opening new accounts, and scaling revenue through repeatable co-sell programs
• Experience leading co-sell and joint go-to-market motions with sales organizations
• Solid grasp of cloud platforms and consumption-based business models
• Technical fluency — able to engage in architecture discussions, use-case validation, and product alignment
• Builder mindset — comfortable operating in ambiguity and creating structure from scratch
• Strong executive presence with experience navigating complex, multi-stakeholder environments
• Excellent communication, negotiation, and prioritization skills

• Experience working closely with Product and Engineering teams to influence partner integrations and roadmap
• Background in AI-intensive industries such as Financial Services, Healthcare, Robotics, Retail, or Automotive

• You are building the ecosystem — not inheriting one
• Direct ownership of partner-driven revenue and growth
• High autonomy and visibility across the business
• Opportunity to shape how modern AI partnerships are defined and executed at Nebius

Key employee benefits in the US:

• Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families.
• 401(k) plan: Up to 4% company match with immediate vesting.
• Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers.
• Remote work reimbursement: Up to $85/month for mobile and internet.
• Disability & life insurance: Company-paid short-term, long-term and life insurance coverage.

 Compensation

• We offer competitive salaries, ranging from $250k - $315k OTE (On Target Earnings)- Accelerators for overachievement and equity participation available

Role Overview

The Regional Sales Manager – Digital AI Natives is responsible for leading, scaling, and delivering the AI Native revenue strategy across the Western United States. This leader manages a team of 8 quota-carrying Account Executives and is fully accountable for regional revenue attainment, pipeline generation, forecast accuracy, and disciplined execution of Nebius’ sales motion. 

This role operates as a regional business owner — balancing frontline deal leadership with strategic planning, cross-functional orchestration, and talent development. 

This is a hands-on leadership position for a high-caliber sales leader who thrives in technically complex, high-growth environments and can drive consistent execution across startup and enterprise AI-native customers. The role partners closely with Solutions Engineering, Marketing, Customer Success, Revenue Operations, and Executive Leadership to ensure coordinated regional performance. 

Key Responsibilities

Sales Leadership & Execution 

• Lead, coach, and develop a team of 8 quota-carrying Account Executives 

• Own regional revenue targets, pipeline performance, and forecast accuracy 

• Drive consistent execution of Nebius’ sales process across startup and enterprise segments 

• Serve as an escalation point for complex deals, negotiations, and executive-level customer conversations 

Regional Strategy & Growth 

• Define and execute the West Region go-to-market strategy aligned with company objectives 

• Identify priority verticals, strategic accounts, and partner opportunities within the AI ecosystem 

• Collaborate with Marketing on regional demand generation and field initiatives 

• Provide structured feedback to Product and Leadership on customer needs, competitive landscape, and market trends 

Cross-Functional Collaboration 

• Partner closely with Solutions Engineering to deliver technically credible, high-impact sales engagements 

• Coordinate with Customer Success to ensure strong handoffs, customer retention, and expansion 

• Work with Revenue Operations on territory planning, pipeline inspection, forecasting, and performance metrics 

Team Development & Culture 

• Recruit, onboard, and ramp top-performing sales talent as the region scales 

• Conduct regular 1:1s, deal reviews, pipeline inspections, and coaching sessions 

• Foster a culture of accountability, execution excellence, and continuous learning 

Key Qualifications & Experience

Must-have requirements: 

• 8+ years of B2B technology sales experience, including 3+ years managing quota-carrying sales teams 

• Proven track record of leading regional or multi-rep teams in high-growth environments 

• Experience selling complex, technical solutions (e.g., cloud infrastructure, AI/ML platforms, data platforms, developer tools) 

• Demonstrated success meeting or exceeding revenue targets 

• Strong forecasting discipline and experience operating in fast-paced sales organizations 

• Ability to engage credibly with technical buyers and executive stakeholders 

Preferred qualifications: 

• Experience in AI, ML platforms, cloud infrastructure, or high-performance computing 

• Background selling to AI startups, scale-ups, or enterprise innovation teams 

• Experience scaling a region or building a sales team from an early or growth-stage GTM motion 

• Prior exposure to remote-first or distributed sales teams 

Competencies & Behavioral Traits

• Data-Driven Leadership & Analytical Rigor 
  Strong analytical skills with the ability to interpret pipeline data, forecast trends, territory performance, and conversion metrics to drive informed decision-making and accurate forecasting. 

• Ownership Mentality & Proactive Problem-Solving 
  Demonstrates a high level of accountability for regional performance. Anticipates challenges, removes obstacles for the team, and drives solutions independently in a fast-paced environment. 

• Cross-Functional Collaboration & Cultural Agility 
  Effectively partners with Solutions Engineering, Marketing, Customer Success, RevOps, and Leadership. Comfortable operating within distributed and cross-cultural teams in a remote-first environment. 

• Strong Execution & Deal Leadership 
  Excellent project management capabilities, with the ability to manage complex, multi-stakeholder sales cycles. Skilled in negotiation strategy and supporting AEs through structured deal progression and closing. 

• Customer-Centric Sales Leadership 
  Deep commitment to understanding customer business objectives and technical requirements. Coaches team members to tailor solutions to AI-native customer needs and deliver long-term value. 

Key Employee Benefits:

• Health Insurance: 100% company-paid medical, dental, and vision coverage for employees and families.
• 401(k) Plan: Up to 4% company match with immediate vesting.
• Parental Leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers.
• Remote Work Reimbursement: Up to $85/month for mobile and internet.
• Disability & Life Insurance: Company-paid short-term, long-term, and life insurance coverage.

Compensation

We offer competitive salaries, ranging from 396k to 458k (On-Target Earnings) and equity based on your experience, skills, and location

Sigma is transforming how businesses run by delivering a high performance platform on the modern data architecture. As we grow the engineering team, we are looking for engineering leaders who want to build great products, devising product development, prioritization and execution strategy as well as developing a strong team providing career development, coaching, mentoring, performance evaluations, developing promotion cases, and other managerial responsibilities.

About the role: 

We are looking for a self motivated, engineering leader eager to lead engineering teams with high performing engineers. You will need to be comfortable working in a fast-paced environment and support your teams to deliver incrementally against our roadmap. 

What you will be doing:

• Collaborate with cross-functional groups, executive team, field teams to devise business impact product strategy
• Enable the team to realize their potential and set them for achieving their career development goals
• Own execution and delivery of roadmaps, to help setup the business and your team for success
• Partner with the staffing team to recruit and build performing team
• Instill a strong sense of ownership and accountability within the team wherein members hold each other to a high bar
• Participate in discussions pertaining to the architecture and implementation techniques to represent, translate and optimize user directives into optimized queries

You:

• Love working with world-class engineers, product managers, and architects to solve complex problems and enable business impact
• Have 5+ years of technical experience and 2+ years of people management experience
• Are opinionated and have great product sense make data driven decisions when unblocking the business
• Have hired, and developed high performing engineering teams
• Are curious, love to learn and to dig into new technologies to apply them when solving technical challenges
• Have demonstrated strong technical architecture and engineering skills along with the ability to switch between technology paradigms
• Have strong computer science fundamentals 

Additional Job details

The base salary range for this position is $230k - $270k annually.

Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work at Sigma Computing. This role is eligible for stock options, as well as a comprehensive benefits package.

Building a Brand starts with a Story

FIRST is a leading global brand experience agency providing Content, Creative, Digital Technology, Management & Delivery, and Data & Insights services. For 30 years, we have utilized three flexible delivery models: Embedded teams, Corporate Campus operations, and a Full-Service Agency. Managing over 37,000 events & projects annually across 110 countries, FIRST serves 130+ brands, specializing in Fortune 500 companies within the Financial Services, Technology, Healthcare, Media, and Professional Services sectors. FIRST is part of the broader Encore family of companies. Encore is a global leader in event production and technology. Consistently recognized for excellence, recent honors include 2026 Chief Marketer Agency of the Year, the Ad Net Zero Award for sustainability, and more. 

Location: Menlo Park or San Francisco, CA (Hybrid) Must reside in Menlo Park or San Francisco, CA to be able to go into office 3 days a week, up to 5 if there is a business need. 

Learn more at www.firstagency.com

What You Would Get To Do

The Project Manager is responsible for supporting clients with both internal and client-facing events and conferences, delivering exceptional service through effective project management and creative solutions. This role involves overseeing all aspects of event operations, from initial briefing to post-event reconciliation. Key responsibilities include managing project plans, collateral, registration, transportation, hotel accommodations, entertainment, food and beverage, audio/visual needs, webcasts, staging, speaker coordination, and event execution.

There is a requirement for onsite events to travel domestically or abroad as required.

Your Contributions

• Full life-cycle planning and execution of multiple key events in a virtual, in-person and hybrid capacity
• Financial management, including: budget development and management, expense management and invoice processing, timely post-meeting reconciliation and final financial reporting 
• Sourcing, negotiating and managing site selections, contract management for venues and suppliers
• Coordinate registration, food and beverage, transportation, hotel accommodations, entertainment, gift selection, audio/visual needs, webcasts, staging and speaker selection for all programs; strong focus on vendor management
• Work seamlessly with key internal partners on event deliverables (i.e. Marketing for print and digital design and collateral elements, Production on Audio Visual, Event Technology team on web builds, data team on attendee management, Legal and Compliance as required, etc.)
• Virtual event planning and project management including confirming appropriate virtual platform, creation of timelines, invitation process, thorough and regular communications to attendees, suppliers and stakeholders
• Co-plan with colleagues and the client on larger scale programs; strong team player
• Ensure adherence to the client’s standards of operation and policies and that compliance and risk guidelines are followed
• Travel when applicable for site inspections and on-site management of live events to ensure full coordination of logistics and on-site teams for in-person events
• Post event wrap up including final attendees, budget reconciliation, observations, as well as client debriefs for year over year improvements
• Share knowledge of best practices, new suppliers, services and venues

What We Are Looking For:

Bachelor's degree preferred

• 5–7+ years’ event management experience, preferably in a corporate or financial environment
• Experience in events, conferences, meeting and production management, including but not limited to C-level executive events, cocktail receptions and dinners, meetings and multi-day events
• Experience in working with and managing senior clients
• Proficient with Microsoft Office applications such as PowerPoint and Excel
• Motivated, self-starter, ability to work independently and project plan; ability to think innovatively
• Excellent project management skills with the ability to manage multiple projects simultaneously; proven ability to work well under pressure to meet established deadlines
• Virtual event experience preferred – Webex and Zoom experience a plus
• Leadership/influencing/negotiation and decision-making skills
• Adaptable and resourceful individual able to follow guidance while working independently; proactive in generating ideas and creative solutions
• Customer focus, approachable; ability to adjust to client needs and style and deepen relationships in support of their programs; adapt to ever changing demands and different client work styles
• Strong client management skills
• Strong oral and written communication skills
• Ambitious, proactive and highly organized
• Willing to travel to various locations for site-visits and on-site management of events
• Experience working with large and complex databases preferred, Cvent experience preferred
• Knowledge of venues and suppliers in key US cities
• Required travel up to 40%
• Very good communication and social skills

At FIRST, we believe that our success is driven by the passion, creativity, and commitment of our teams. That's why we offer a range of benefits and perks to support your personal and professional growth

• Medical, Dental & Vision, which includes the option of a high-deductible health plan (HDHP) with a health savings account (HSA)
• 401 (k) 
• Five Flexible Spending Accounts Options
• Generous Paid Time Off Allowance
• Employee Assistance Program (EAP)
• Life, Disability & Pet Coverages
• Wellness Stipend
• Mobile Phone Allowance
• Complimentary access to Headspace, Teladoc, Maven, Rocket Lawyer, Mobilo & more
• Aura Identity Theft Protection
• Discretionary Bonus Structure
• Global Opportunities: With a presence in 7 countries worldwide, including headquarters in London, New York, and Singapore, you may have the opportunity to work on exciting projects across different locations.

United States Residents: The base pay for this position ranges from $70,000-$100,000. This role is also eligible for an annual discretionary bonus.  

Please note that the national salary range listed in the job posting reflects the new hire salary range across various U.S. locations that would be applicable to the position. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.

#LI-hybrid #LI-KM1

The Community You Will Join:

The Relevance & Personalization (R&P) team is Airbnb's matching intelligence engine — a talented team of ML engineers, applied researchers, and technical program managers who connect guests to the right listings across every surface and help hosts compete and thrive in our marketplace. We work at the intersection of search ranking, recommendations, personalization, and generative AI, and we're building toward a future where Airbnb feels less like a search engine and more like a knowledgeable travel companion that understands your needs across your entire trip journey.

The Difference You Will Make:

As Product Manager for Relevance & Personalization, you will help set the strategy and drive execution for some of Airbnb's highest-leverage AI systems. You'll own the roadmap and shape how personalization works across the guest journey, and help define how we close the feedback loop for hosts. You'll partner with engineers, researchers, designers, and cross-functional teams to ship systems that directly drive bookings, guest satisfaction, and host success — at global scale.

A Typical Day: 

• Define and drive the roadmap for Airbnb's relevance and personalization platform — from natural language query understanding to multi-turn, context-aware discovery experiences
• Make prioritization calls that balance multiple competing objectives: guest experience, host success, revenue, fairness, and marketplace health
• Partner with ML engineers and applied researchers to shape model strategy, evaluation frameworks, and experimentation design
• Align cross-functional partners — Guest, Host, MarTech, Trust & Safety, Customer Support — on shared goals and sequencing
• Drive the Tripcycle vision: ensuring R&P's intelligence layer connects across the full trip lifecycle, from inspiration through post-trip
• Design and oversee A/B experiments with rigorous metric design and long-term effect measurement
• Translate complex technical tradeoffs into clear decisions for engineering teams and concise narratives for leadership
• Foster an environment where engineers and product managers collaborate on building the future
• Stay close to guests and hosts: synthesize user research, marketplace data, and competitive signals to sharpen your intuition and refine strategy

Your Expertise:

• 10+ years of product management experience, with at least 3 years on ML, search, recommendations, or AI-powered products at scale
• Track record of owning strategy and roadmap for technically complex systems — not just managing features, but setting direction and making hard prioritization calls
• Strong experimentation fluency: comfortable designing A/B tests, interpreting counterfactual results, and reasoning about proxy metrics vs. long-term outcomes
• Experience working on two-sided marketplaces or platforms where you balanced supply-side and demand-side tradeoffs
• Ability to earn the respect of Staff and Principal-level engineers and researchers — you don't need to write code, but you need to engage at a level that builds credibility
• Clear, structured communicator who can distill complex technical tradeoffs for executives and translate strategic intent into actionable guidance for engineers
• Experience with LLM-based products in production — ideally involving evaluation challenges, latency constraints, or safety and guardrail work (preferred)
• Familiarity with reinforcement learning, contextual bandits, or explore/exploit frameworks in a product context (preferred)
• Background working alongside applied researchers or with teams that publish externally (preferred)

Your Location:

Due to the nature of this position, the successful applicant will need to be based in San Francisco, CA to be able to conduct their work. Currently, employees can not be located in: Alaska, Indiana, Nebraska, North Dakota, Ohio, South Dakota, Wisconsin, Alabama, Mississippi, Oklahoma, Delaware And Rhode Island. This list is continuously being updated, please check back with us if the state you live in is on the exclusion list.  If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from. 

Our Commitment To Inclusion & Belonging:

Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.

We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: reasonableaccommodations@airbnb.com. Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process. 

We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application.

THE ROLE

Merchandising Manager, Young Adult

We are looking for a Merchandising Manager to join our growing Merchandising team. In this role, the Merchandising Manager, Young Adult role is responsible for introducing a targeted assortment toward a younger age demographic to the Quince’s offering for Men and Women. This person will be mainly responsible for launching and expanding the age 22-30 product assortment.

At Quince, we believe that everyone deserves access to high quality products at radically affordable prices.  We believe the marketplace for consumer products is inundated with too many options, and customers find product quality difficult to determine and yet frequently pay more for a variety of things that can be delivered at much lower prices. Our goal is to find the best products in the marketplace and connect the makers of these goods directly to the customers who want them. Quince has proven the consumer value proposition in the apparel and accessories categories, especially within the men’s sweaters space and has built a loyal, repeat consumer base.  We want to build on that value proposition and continue to scale the Men's and Women’s category in both existing and new product classes.  

Quince's growth and success is directly tied to the performance and success of this role. The person in this role will be an innovator at heart leveraging the attributes below to build and run our emerging categories strategy:* Experience in retail merchandising for the Women’s apparel categories* Strong and structured problem solver* Data driven decision maker* Deep understanding of consumer/ retail sector dynamics* Able to leverage technology to build and scale the product strategy* Independent learner and executor* Strong communicator* Collaborative, especially with external partners

Requirements

• Role is based in San Francisco California, with 3 days per week in office requirement.
• 8+ years of retail merchandising experience in the Women’s apparel category, preferably with luxury expertise
• E-commerce experience and/or DTC experience preferred
• Proven track record of progressing within an organization and demonstrating continuous growth in roles and responsibilities
• Product obsessed with experience in leveraging data tools and external sources
• Critical eye to anticipate customer needs (both the “science” and “art” of retail merchandising)
• Highly organized, detail-oriented and analytical with focus on execution, problem-solving, improving processes and brand enhancement
• Continuous learner and highly curious; always open to considering new perspectives; proactive when changing course and facing added challenges
• Excellent written and verbal communication, presentation, and interpersonal skills
• Motivated by working in a fast-paced collaborative environment, where flexibility to stretch into or out of functional comfort zones is crucial for team success

Preferred:

• Bachelor’s Degree, preferred

About the Role

The Data Governance function is pivotal in ensuring the integrity, trustworthiness, and effective management of Chime’s data assets. Our mission is to establish and operationalize data governance frameworks that not only meet compliance requirements, but actively enable high-confidence decision making across the company.  As a Data Governance Engineer, you will develop and implement policies and tools for data quality, developer enablement, certified datasets, and governance automation - with a sharp focus on building trust signals and scorecards that help data consumers quickly understand and act on the reliability of Chime's data.

This is a hands-on engineering role. You will write production-quality code to build automation for governance and data quality processes using Terraform, Python (or similar languages), and contribute to internal libraries, frameworks, and orchestration workflows that enable scalable governance.

You will partner closely with data engineering, analytics, product engineering, and compliance teams to:

• Support Chime in data compliance and risk reduction initiatives
• Establish data quality as a product discipline
• Build trust signals and scorecards that make data reliability transparent and data context valuable for a variety of use cases
• Implement governance workflows upstream, where data are created
• Ensure data context and metadata are sufficient for downstream use cases, including AI applications

You will be involved in reviews of technical designs and implementation plans to provide guidance on appropriate development from a data governance and compliance perspective, acting as a trusted advisor to teams innovating at Chime. You will also be a strong advocate and leader for Artificial Intelligence tooling and adoption at Chime, bringing curiosity and a practical eye for where AI creates leverage in data governance workflows. This role is 40% strategic influence, 40% development and building, and 20% stakeholder management and support.

The base salary for this role and level of experience will begin at $160,000.00 and go up to $221,000.00. Full-time employees are also eligible for a bonus, competitive equity package, and benefits. The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience.

In this role, you can expect to

• Build Data Trust Infrastructure: Design and implement trust scorecards, trust signals, and quality indicators that give data consumers real-time visibility into data reliability - and partner with producers upstream to embed quality checks at the source before issues propagate downstream.
• Drive Data Quality Strategy: Own and evolve Chime's data quality strategy end-to-end. Design and partner with engineering teams to implement data quality frameworks and monitoring systems that proactively identify, surface, and resolve data issues at scale.
• Develop and Implement Data Governance Policies: Create and enforce policies for data classification, quality, and lifecycle management, ensuring data integrity and compliance with SOX and other applicable regulatory standards.
• Enable the Data Catalog: Collaborate on the development, adoption, and enrichment of Chime's data catalog - improving discoverability, context richness (lineage, ownership, definitions, usage guidance), and the overall experience of working with Chime's data.
• Automate Governance Processes: Develop and deploy automation solutions for data governance tasks, such as metadata management, data lineage tracking, access controls, and quality remediation workflows.
• Champion SOX Compliance: Play an active role in Chime's SOX compliance efforts, ensuring that data governance practices, controls, and audit trails meet regulatory requirements and are well-documented.
• Lead AI Adoption for Data Governance: Serve as a leader and advocate for AI tooling within the data governance space - identifying opportunities to apply AI to automate governance workflows, improve data context, enhance trust scoring, and accelerate adoption of governance best practices across engineering teams.
• Collaborate Across Teams: Work closely with data engineers, analysts, and compliance officers to align data governance initiatives with business needs and regulatory requirements.

To thrive in this role, you have

• Experience: 5+ years in data engineering, data governance, or a related field, with hands-on experience in data classification, cataloging, quality assurance, and trust frameworks. Engineering ability to design and implement data governance and quality processes is critical to success.
• Trust & Quality Expertise: Demonstrated experience building data trust signals, quality scorecards, or similar frameworks that make data reliability visible and actionable for both engineers and non-technical stakeholders.
• Programming Experience: Proficiency in Python or a comparable programming language, and experience building scalable data tooling or automation pipelines.
• Curiosity and Relentlessness: You are genuinely curious about data, technology, and the problems that sit at the intersection of the two. You don't let ambiguity stop you - you dig in, ask the right questions, and keep pushing until you've found the right answer or built the right solution. You bring energy and persistence to hard problems and don't need external pressure to drive yourself forward.
• Composure in Complexity: Data governance at a fintech means navigating competing priorities, regulatory constraints, sprawling data ecosystems, and stakeholders with different mental models of "good." You thrive in this environment rather than shrinking from it - you can hold complexity without getting overwhelmed, break it into manageable pieces, and make steady progress without waiting for perfect conditions.
• Exceptional Communication: You are a terrific communicator in both verbal and written form. You can write a crisp one-pager that earns buy-in from a skeptical audience, run a meeting that ends with clarity instead of confusion, and translate deeply technical concepts into plain language that moves people to action. You treat communication as a core part of the job, not an afterthought.
• Product Management Mindset: You think like a product manager as much as an engineer. You ask "who is this for and what problem does it solve?" before writing a line of code. You prioritize ruthlessly, define success before you start building, and care about adoption and outcomes - not just delivery. You treat your internal stakeholders as customers and design solutions with their experience in mind.
• AI Curiosity and Advocacy: Genuine curiosity about AI and its applications in the data governance space, with an appetite for identifying and piloting new tools and workflows that improve the experience of working with Chime's data.
• Technical Proficiency: Strong knowledge of data governance tools and platforms, and experience with cloud data warehouses like Snowflake. Experience with data catalog platforms and driving adoption across engineering organizations is a strong plus.
• Bonus: Compliance Knowledge: Familiarity with SOX, CCPA, and other data privacy and financial regulations, and ability to apply technical skills to governance practices that meet audit and compliance requirements.

#LI-Onsite #LI-GC1

Together AI is building the AI Inference & Model Shaping Platform that brings the most advanced generative AI models to the world. Our platform powers multi-tenant server-less workloads and dedicated endpoints, enabling developers, enterprises, and researchers to harness the latest LLMs, multimodal models, image, audio, video, and reasoning models at scale.

We are looking for an exceptional Engineering Lead to partner closely with our cross-functional engineering, infrastructure, research, and sales teams to ensure excellence of our ML API offerings. Your primary focus will be on delivering world-class inference and fine-tuning in our public APIs and customer deployments by building automation and operations processes.

This role is ideal for a highly motivated and technically adept individual who excels in fast-paced, dynamic environments. You will be in charge of designing and scaling our ML processes & tooling at production scale – optimizing operations to ensure availability and reliability for our services, across differing tenants and user loads, and in a multi-cluster deployment. You will serve as a passionate advocate for internal and external customers, providing feedback to the wider engineering and infrastructure teams to improve our systems and core business metrics. If you thrive in a collaborative, problem-solving environment and are driven to deliver operational excellence, we encourage you to apply for this exciting opportunity.

Key Responsibilities

• Own availability and performance SLAs for production inference and fine-tuning services across serverless and dedicated deployments
• Own & improve testing, deployment, configuration management, and monitoring practices for multi-cluster ML infrastructure – partnering closely with Infra SREs
• Build self-serve tooling and automation to reduce operational toil and enable self-serve offerings.
• Define and enforce configuration best practices for inference engines (SGLang, TRT-LLM, vLLM etc.) to prevent runtime issues
• Lead incident response, conduct postmortems, and drive reliability improvements
• Mentor team members and potentially grow into hiring/team building as the organization scales
• Partner with infrastructure and ML engineering teams to improve system reliability and cost efficiency

Required Qualifications

• 5+ years operating production ML inference or training systems at scale
• 2+ years in senior IC or tech lead roles, with demonstrated mentorship and technical leadership experience. Having built or scaled teams is a plus.
• Deep expertise with Kubernetes, multi-cluster orchestration, and ML serving frameworks
• Experience with multi-tenant SaaS platforms
• Proven track record of SLA ownership with specific metrics (99.9% uptime, p99 latency targets)
• Customer escalation and incident communication experience
• Experience with LLM inference serving systems (SGLang, vLLM, TRT-LLM, or similar)
• Ability to influence cross-functional teams and make deployment/architecture decisions

Nice to Have

• Experience building internal developer platforms or self-serve tooling
• Background in cost optimization for GPU infrastructure
• Contributions to open-source ML infrastructure projects

About Together AI

Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers in our journey in building the next generation AI infrastructure.

Compensation

We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $250,000 - $300,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.

Equal Opportunity

Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.

Please see our privacy policy at https://www.together.ai/privacy  

About the role

As a Dedicated AI Factory TAM at Together AI, you will serve as the named technical owner for one of our most strategic enterprise relationships. You will be the primary technical point of contact across all infrastructure domains — compute, networking, storage, and facilities — ensuring smooth delivery and operational health of large-scale GPU deployments. This role sits at the intersection of deep infrastructure expertise and high-stakes customer partnership, making you a critical driver of both customer success and company growth.

Responsibilities

• Serve as the named technical point of contact for a dedicated strategic customer, owning the end-to-end technical relationship across compute, networking, storage, and facilities
• Drive structured engagement through regular cadences including status reporting, technical steering meetings, and executive business reviews
• Translate customer operational feedback into actionable input for Engineering, Product, and Infrastructure roadmaps
• Lead issue lifecycle management, escalation, and RCA authorship across all infrastructure domains in partnership with Support, SRE, DC Ops, and Engineering teams
• Own end-to-end RMA coordination and hardware lifecycle management, including acceptance testing, spare inventory management, and hardware health reporting for large-scale GPU deployments
• Maintain deep technical expertise across the customer's infrastructure stack — GPU compute, high-speed fabric, and large-scale storage systems — advising on configuration, operational best practices, and incident resolution
• Own the observability strategy for the customer estate, including alert policy definition, dashboard development, and proactive health management across all infrastructure layers
• Coordinate DC operations and facilities events in partnership with internal teams and hosting providers, ensuring SLA compliance and cluster availability
• Act as project manager for all capacity expansions, owning the full node deployment lifecycle from freight receipt through production acceptance

Qualifications

• 5+ years in a customer-facing technical role, with 2+ years in dedicated technical account management or solutions architecture for large-scale AI or HPC infrastructure
• Deep expertise in GPU infrastructure — GPU health diagnostics, RMA workflows, and hardware acceptance testing
• Hands-on experience with large-scale Ethernet and InfiniBand fabric architecture
• Working knowledge of enterprise storage systems, including high-density NVMe, parallel file systems, and metadata infrastructure
• Experience with DC operations, facilities coordination, and hosting provider SLA management
• Strong ownership mindset for incident management, RCA authorship, and executive-level customer communication
• Proficiency in infrastructure monitoring and observability tooling (Prometheus, Grafana, or equivalent)
• Proven ability to manage multiple concurrent workstreams with hyperscaler-level rigor and communication standards
• Proficiency in Python, Bash, or infrastructure automation tools preferred

About Together AI

Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancements such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers on our journey in building the next generation of AI infrastructure. 

Compensation

We offer competitive compensation, startup equity, health insurance, and other benefits, as well as flexibility in terms of remote work. The US base salary range for this full-time position is: $260-290K OTE + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge. 

Location

San Francisco, CA (Hybrid) or New York, NY (Hybrid)

Equal Opportunity

Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.

Please see our Privacy Policy at https://www.together.ai/privacy

The opportunity: 

We are building a new engineering team in San Francisco to own our client facing rates platform and the self-serve freight booking experience. These are two of the highest leverage surfaces in our Client App: how clients see pricing and how they book without manual intervention.

Rates sit at the center of every freight decision. You will lead the Autonomous Freight Systems team, owning the systems that power rate visibility, quoting, and pricing intelligence across ocean, air, and trucking. You will extend that work into a fully self-serve booking flow for smaller shippers: clients who commit freight on technology alone, with no account executive and no operations touch.

This is a ground-floor opportunity to build the platform that moves Flexport from an assisted-sales model to a tech-run one. You will lead an AI-first engineering team tasked with automating the complex logic of quoting and booking. This means not just building software, but building autonomous systems and AI-powered workflows that eliminate the need for manual intervention in the shipping lifecycle.

You will:

• Recruit, build, and lead a new engineering team with a heavy focus on AI-driven automation and intelligent system design.
• Partner with leadership to define how LLMs and agentic workflows can be applied to logistics pricing and customer interactions.
• Participate in critical technical discussions regarding AI model integration, data repair agents, and automated quality safeguards.
• Represent your team with leaders across different parts of the organization.
• Participate in critical technical design and product discussions.
• Invest in the development and coaching required for each team member’s success.
• Manage, measure, and communicate the team’s progress toward goals.
• Partner closely with cross-functional stakeholders to define the team’s roadmap.

You should have:

• AI/Automation Vision: Demonstrated ability to lead teams building intelligent systems, ideally involving LLMs, automated decision engines, or AI agents in production.
• Strategic Roadmap: Experience moving a business from human-led processes to autonomous, software-driven ones.
• Bachelor’s degree in Computer Science or equivalent practical experience.
• 5+ years of engineering experience with a strong technical background.
• 2+ years of experience managing engineering teams directly.
• Product Engineering Expertise: A proven track record of building complex, data-heavy applications where high-quality user interaction is the priority.
• Platform Thinking: Experience building unified interfaces that aggregate data from various backend systems into a cohesive user experience.
• Growth Leadership: Experience building and scaling teams from an early stage, including a demonstrated ability to hire, develop, and retain high-performing engineers.
• Clear Communication: The ability to translate between technical constraints and business goals for stakeholders.

It’s a plus if you have

• Experience in logistics, supply chain, or freight technology.
• Experience with elements of our tech stack: Java, Spring Boot, Ruby on Rails, React, AWS.
• Experience managing distributed or hybrid teams.

#LI-onsite

The opportunity

Flexport operates at the intersection of global trade, technology, and policy — which means the stories we tell matter. We're looking for a Senior Manager, Communications & Content to drive forward how Flexport shows up in the world: in the press, on our blog, across social channels, in customer inboxes, and inside the company.

This is a high-visibility, high-trust role. You'll work directly with our CEO & Founder and members of the leadership team to shape Flexport's narrative and ensure we're part of the conversations that matter — from supply chain disruptions and trade policy shifts to AI innovation and the future of logistics. You'll also be the person who makes sure our customers and employees hear from us clearly, consistently, and at the right moments.

This role requires someone who can toggle between crafting a pitch to a Tier 1 reporter, writing a customer email about a service change, coaching an executive before a live interview, and developing a content calendar that ties Flexport's story to the biggest themes in global commerce — all in the same week.

You will

Public Relations & Media

• Support Flexport's PR strategy end-to-end: proactive media pitching, inbound media management, press releases, and rapid response.
• Build and deepen relationships with key reporters and outlets covering logistics, trade, technology, and business.
• Develop and execute a thought leadership program that positions Flexport's CEO & Founder and other senior leaders as go-to voices on global trade, supply chain innovation, and AI in logistics.
• Staff and prep spokespeople for interviews, panels, and media appearances — including media training, message development, and briefing documents.
• Monitor the news cycle for opportunities to insert Flexport into breaking stories and larger industry narratives.

Content Strategy

• Shape Flexport's content strategy and content development across blog, social media, website, webinars, and other owned channels.
• Define and evolve Flexport's narrative — how we talk about ourselves, how we connect our platform and products to the macro stories reshaping global trade, and how we differentiate from legacy freight forwarders.
• Build an editorial engine that produces high-quality, consistent content that serves demand generation, brand awareness, and customer education goals.
• Partner with Product Marketing and Growth Marketing to ensure content supports campaigns, product launches, and pipeline objectives.

Customer Communications

• Own the voice and cadence of how Flexport communicates with customers outside of product and transactional workflows — service updates, policy changes, product announcements, and other moments that require clear, trustworthy messaging.
• Develop frameworks and templates that ensure customer-facing communications are timely, accurate, and on-brand, especially during high-stakes moments like trade policy shifts or service disruptions.
• Partner with Customer Success, Operations, and Product teams to coordinate messaging and ensure alignment across touch points.

AI & Efficiency

• Leverage AI tools across the communications function — from drafting and editing content, to media monitoring and research, to automating repetitive workflows — so a lean team can operate with the output and speed of a much larger one.
• Stay current on how AI is changing PR, content, and communications, and bring new tools and approaches into the team's daily work.

You should have

• 7+ years of experience spanning PR, communications, and content. A mix of agency and in-house experience is ideal.
• Proven media relationships and a track record of landing meaningful coverage in top-tier business, trade, and technology outlets. You know how to pitch, and reporters know your name.
• Experience as a communications partner to senior executives — you've prepped leaders for interviews, developed thought leadership platforms, and know how to translate a leader's vision into a public narrative.
• Strong editorial instincts and the ability to build a content program from strategy through execution. You can write, and you can also build systems that scale content without sacrificing quality.
• Experience owning customer communications in a B2B environment, particularly during complex or sensitive moments like service changes, pricing updates, or industry disruptions.
• The ability to move fast, manage multiple workstreams at once, and exercise excellent judgment about what to say, when to say it, and how.
• Familiarity with the logistics, supply chain, or trade industry is a strong plus — but a fast learner with deep B2B or tech experience can thrive here too.
• You actively use AI tools to drive efficiencies across content production, media monitoring, research, and workflow automation. This isn't a nice-to-have — we want someone who is already using AI to make a small team move like a big one.

The opportunity

Flexport operates at the intersection of global trade, technology, and policy — which means the stories we tell matter. We're looking for a Senior Manager, Communications & Content to drive forward how Flexport shows up in the world: in the press, on our blog, across social channels, in customer inboxes, and inside the company.

This is a high-visibility, high-trust role. You'll work directly with our CEO & Founder and members of the leadership team to shape Flexport's narrative and ensure we're part of the conversations that matter — from supply chain disruptions and trade policy shifts to AI innovation and the future of logistics. You'll also be the person who makes sure our customers and employees hear from us clearly, consistently, and at the right moments.

This role requires someone who can toggle between crafting a pitch to a Tier 1 reporter, writing a customer email about a service change, coaching an executive before a live interview, and developing a content calendar that ties Flexport's story to the biggest themes in global commerce — all in the same week.

You will

Public Relations & Media

• Support Flexport's PR strategy end-to-end: proactive media pitching, inbound media management, press releases, and rapid response.
• Build and deepen relationships with key reporters and outlets covering logistics, trade, technology, and business.
• Develop and execute a thought leadership program that positions Flexport's CEO & Founder and other senior leaders as go-to voices on global trade, supply chain innovation, and AI in logistics.
• Staff and prep spokespeople for interviews, panels, and media appearances — including media training, message development, and briefing documents.
• Monitor the news cycle for opportunities to insert Flexport into breaking stories and larger industry narratives.

Content Strategy

• Shape Flexport's content strategy and content development across blog, social media, website, webinars, and other owned channels.
• Define and evolve Flexport's narrative — how we talk about ourselves, how we connect our platform and products to the macro stories reshaping global trade, and how we differentiate from legacy freight forwarders.
• Build an editorial engine that produces high-quality, consistent content that serves demand generation, brand awareness, and customer education goals.
• Partner with Product Marketing and Growth Marketing to ensure content supports campaigns, product launches, and pipeline objectives.

Customer Communications

• Own the voice and cadence of how Flexport communicates with customers outside of product and transactional workflows — service updates, policy changes, product announcements, and other moments that require clear, trustworthy messaging.
• Develop frameworks and templates that ensure customer-facing communications are timely, accurate, and on-brand, especially during high-stakes moments like trade policy shifts or service disruptions.
• Partner with Customer Success, Operations, and Product teams to coordinate messaging and ensure alignment across touch points.

AI & Efficiency

• Leverage AI tools across the communications function — from drafting and editing content, to media monitoring and research, to automating repetitive workflows — so a lean team can operate with the output and speed of a much larger one.
• Stay current on how AI is changing PR, content, and communications, and bring new tools and approaches into the team's daily work.

You should have

• 7+ years of experience spanning PR, communications, and content. A mix of agency and in-house experience is ideal.
• Proven media relationships and a track record of landing meaningful coverage in top-tier business, trade, and technology outlets. You know how to pitch, and reporters know your name.
• Experience as a communications partner to senior executives — you've prepped leaders for interviews, developed thought leadership platforms, and know how to translate a leader's vision into a public narrative.
• Strong editorial instincts and the ability to build a content program from strategy through execution. You can write, and you can also build systems that scale content without sacrificing quality.
• Experience owning customer communications in a B2B environment, particularly during complex or sensitive moments like service changes, pricing updates, or industry disruptions.
• The ability to move fast, manage multiple workstreams at once, and exercise excellent judgment about what to say, when to say it, and how.
• Familiarity with the logistics, supply chain, or trade industry is a strong plus — but a fast learner with deep B2B or tech experience can thrive here too.
• You actively use AI tools to drive efficiencies across content production, media monitoring, research, and workflow automation. This isn't a nice-to-have — we want someone who is already using AI to make a small team move like a big one.

The opportunity

Flexport operates at the intersection of global trade, technology, and policy — which means the stories we tell matter. We're looking for a Senior Manager, Communications & Content to drive forward how Flexport shows up in the world: in the press, on our blog, across social channels, in customer inboxes, and inside the company.

This is a high-visibility, high-trust role. You'll work directly with our CEO & Founder and members of the leadership team to shape Flexport's narrative and ensure we're part of the conversations that matter — from supply chain disruptions and trade policy shifts to AI innovation and the future of logistics. You'll also be the person who makes sure our customers and employees hear from us clearly, consistently, and at the right moments.

This role requires someone who can toggle between crafting a pitch to a Tier 1 reporter, writing a customer email about a service change, coaching an executive before a live interview, and developing a content calendar that ties Flexport's story to the biggest themes in global commerce — all in the same week.

You will

Public Relations & Media

• Support Flexport's PR strategy end-to-end: proactive media pitching, inbound media management, press releases, and rapid response.
• Build and deepen relationships with key reporters and outlets covering logistics, trade, technology, and business.
• Develop and execute a thought leadership program that positions Flexport's CEO & Founder and other senior leaders as go-to voices on global trade, supply chain innovation, and AI in logistics.
• Staff and prep spokespeople for interviews, panels, and media appearances — including media training, message development, and briefing documents.
• Monitor the news cycle for opportunities to insert Flexport into breaking stories and larger industry narratives.

Content Strategy

• Shape Flexport's content strategy and content development across blog, social media, website, webinars, and other owned channels.
• Define and evolve Flexport's narrative — how we talk about ourselves, how we connect our platform and products to the macro stories reshaping global trade, and how we differentiate from legacy freight forwarders.
• Build an editorial engine that produces high-quality, consistent content that serves demand generation, brand awareness, and customer education goals.
• Partner with Product Marketing and Growth Marketing to ensure content supports campaigns, product launches, and pipeline objectives.

Customer Communications

• Own the voice and cadence of how Flexport communicates with customers outside of product and transactional workflows — service updates, policy changes, product announcements, and other moments that require clear, trustworthy messaging.
• Develop frameworks and templates that ensure customer-facing communications are timely, accurate, and on-brand, especially during high-stakes moments like trade policy shifts or service disruptions.
• Partner with Customer Success, Operations, and Product teams to coordinate messaging and ensure alignment across touch points.

AI & Efficiency

• Leverage AI tools across the communications function — from drafting and editing content, to media monitoring and research, to automating repetitive workflows — so a lean team can operate with the output and speed of a much larger one.
• Stay current on how AI is changing PR, content, and communications, and bring new tools and approaches into the team's daily work.

You should have

• 7+ years of experience spanning PR, communications, and content. A mix of agency and in-house experience is ideal.
• Proven media relationships and a track record of landing meaningful coverage in top-tier business, trade, and technology outlets. You know how to pitch, and reporters know your name.
• Experience as a communications partner to senior executives — you've prepped leaders for interviews, developed thought leadership platforms, and know how to translate a leader's vision into a public narrative.
• Strong editorial instincts and the ability to build a content program from strategy through execution. You can write, and you can also build systems that scale content without sacrificing quality.
• Experience owning customer communications in a B2B environment, particularly during complex or sensitive moments like service changes, pricing updates, or industry disruptions.
• The ability to move fast, manage multiple workstreams at once, and exercise excellent judgment about what to say, when to say it, and how.
• Familiarity with the logistics, supply chain, or trade industry is a strong plus — but a fast learner with deep B2B or tech experience can thrive here too.
• You actively use AI tools to drive efficiencies across content production, media monitoring, research, and workflow automation. This isn't a nice-to-have — we want someone who is already using AI to make a small team move like a big one.

The opportunity 

The Autonomous Freight Systems team is a brand new, AI-first engineering team in San Francisco. This team will own Flexport’s client-facing rates platform and the self-serve freight booking experience—two of the highest-leverage surfaces in our Client App that dictate how clients see pricing and book freight without manual intervention.

As a Staff Engineer, you will be the technical anchor for our next-generation AI-powered rates platform. We aren't just building a UI; we are building AI agents that handle real logistics work: parsing complex rate sheets, managing pricing intelligence across ocean, air, and trucking, and making "Self-Serve" a reality for thousands of shippers. You will build the intelligence layer that allows clients to commit freight on technology alone, with no account executive and no operations touch.

This is a ground-floor opportunity to shape technical direction, set up a new codebase, and build the platform that moves Flexport from an assisted-sales model to a tech-run one for the long tail of our client base. You will partner with Pricing, Sales, Ops, and Design on hard domain problems and ship to the most-used client surfaces at the company.

You will

• Design and ship end-to-end AI agents that handle pricing intelligence and booking compliance without human oversight.
• Create the tooling and secure AI infrastructure required to expose internal logistics data to LLMs safely.
• Navigate the rapidly evolving landscape of agent patterns, RAG, and prompt engineering to solve problems that don’t have "Stack Overflow" answers yet.
• Build and launch products rapidly and incrementally: we ship to production dozens of times per day.
• Mentor and uplevel engineers across the team, fostering a culture of technical excellence.
• Partner with the Engineering Manager to define the team’s technical roadmap and hiring bar.

You should have

• LLM Fluency: Experience with agent patterns, RAG, and prompt engineering. You know what works in production versus what only looks good in a demo.
• Agentic Orchestration: Experience with workflow orchestration (e.g., Temporal) and building reliable systems around non-deterministic AI.
• Entrepreneurial Drive: You don't wait for a spec; you find the highest-leverage automation problems and design the AI-driven solution.
• Product Instincts: You can identify what is worth building, not just execute on a spec. You have a proven track record of building data-heavy applications where high-quality user interaction is the priority.
• Architecture Leadership: Demonstrated experience leading technical initiatives across multiple teams or systems, specifically in building unified interfaces that aggregate data from various backend systems.
• Technical Rigor: A love of simple, well-tested code that is easy to extend and hard to break, combined with experience building large-scale distributed systems.
• Technical Communication: The ability to convey technical ideas in common terms to business partners, product managers, and engineers alike.

It's a plus if you have

• Experience with elements of our tech stack: Java, Spring Boot, Ruby on Rails, React, AWS.
• Experience in logistics, supply chain, or freight technology.
• Experience building internal tools or operator-facing applications.
• A bias for action: When you see a problem, you solve it.

#LI-onsite