Staff Electrical Design Engineer, EPC

The Staff Electrical Engineer is responsible for the end-to-end electrical design of industrial, offices, and lab facilities across multiple locations. The role holds full ownership of electrical deliverables — from concept through construction — across a diverse range of project types including hazardous occupancy, recycling facilities, office and labs, warehouse environments, and 34.5 kV/24.9 kV site infrastructure. The engineer is expected to operate with a high degree of independence, serving as Electrical Engineer of Record on assigned projects while coordinating across multiple disciplines to deliver code-compliant, construction-ready packages on schedule and within budget. This position requires a licensed Professional Engineer who is not only highly skilled at performing complex engineering calculations but also motivated, detail-oriented, and capable of communicating effectively at all levels — from field teams to executive stakeholders.

Responsibilities will include:

• Design and own a wide range of electrical systems — including medium voltage (up to 34.5 kV) feeds, low voltage power distribution, lighting, raceway, grounding, and communications. 
• Serve as Electrical Engineer of Record and responsible for producing permit and construction drawings. 
• Perform power system studies including short-circuit analysis, arc flash calculations, and protective device coordination using SKM or ETAP to ensure safe and code-compliant designs. 
• Perform cable ampacity calculations using AmpCalc or similar software to optimize cable size instead of using prescriptive tables from National Electrical Code (NEC). 
• Lead multi-discipline coordination with architectural, civil, structural, mechanical, fire & life safety, and other design teams to produce complete Issue for Construction (IFC) packages. 
• Review conceptual designs from manufacturing engineers and stakeholders to identify technical and financial risks. Prepare electrical specifications and conduct technical bid evaluations for designs produced by external design consultants. 
• Lead code analysis for NEC, IECC, and applicable NFPA standards across all project deliverables, and ensure designs meet all regulatory and compliance requirements. 
• Provide construction administration support including RFI responses, submittal reviews, change order management, and on-site inspections. Serve as the technical point of contact during construction and commissioning. 
• Prepare engineering cost estimates and project schedules, perform QA/QC reviews of electrical designs, and mentor junior engineers while contributing to internal design standards and best practices. 

Desired Qualifications: 

• Bachelor’s or Master’s degree in Electrical Engineering from ABET accredited program. 
• Licensed Professional Engineer in Nevada or eligible for reciprocity. Must get their PE in Nevada and South Carolina within 2 months of start date. 
• Minimum 10 years of experience in heavy commercial and industrial sectors, with evidence of exceptional ability. 
• Subject matter expertise in National Electrical Code (NEC), International Energy Conservation Code (IECC),  and relevant National Fire Protection Association (NFPA) standards with demonstrated ability to lead code analysis and apply requirements across complex, multi-discipline projects. 
• Advanced proficiency in Revit MEP, AutoCAD, Navisworks, Bluebeam, and SKM or ETAP for design production, clash detection, document review, and power system studies. 
• Advanced proficiency in AmpCalc or similar for cable ampacity calculations. Ability to perform photometric studies using lighting design software such as Visual or AGI and make decisions on optimal lighting levels for projects. 
• Strong analytical and problem-solving abilities, with the capacity to independently manage multiple concurrent projects, prioritize tasks effectively, and deliver high-quality engineering documents on schedule. 
• Ability to travel to project sites for construction administration, commissioning support, and field issue resolution, with flexibility to adjust availability based on project phase demands. 
• Excellent communication skills — verbal, written, and through drawings/sketches — with the ability to collaborate across disciplines and interface confidently at an executive level. 

About the Role

Together AI is building high-performance inference compute and the software platform around it. We’re looking for an early-career Data Warehouse Engineer with strong fundamentals and high growth potential to grow into a technical lead over time. You’ll contribute to designing and operating our data warehouse, ETL pipelines and orchestration, work on core data models and metrics, and help raise the bar on data quality and governance across the org — with mentorship and support from experienced engineers.

Requirements

• 0–4 years of professional experience (or strong internships/projects) working with data warehouses, pipelines, or analytics engineering.
• Solid SQL fundamentals — you’re comfortable writing queries and have some exposure to window functions or dimensional modeling concepts.
• Some hands-on experience with dbt or Airflow, or strong eagerness to learn — coursework and personal projects count.
• Basic Python for scripting and data tooling; any exposure to Spark (PySpark/SQL) is a plus.
• Familiarity with data modeling concepts like SCD2 or star schemas — even if only from coursework.
• Good communication skills: you can ask clarifying questions, explain your reasoning, and work with stakeholders to understand their needs.
• High standards for data quality, reliability, and maintainability — you care about getting things right.

Responsibilities

• Contribute to building and maintaining a medallion/curated data warehouse stack (bronze/silver/gold) for product, usage, billing, and operational data.
• Build and maintain Airflow orchestrated pipelines and dbt transformation projects (modular, tested, documented).
• Help design analytics-ready models: SCD Type 2, star schemas, and appropriate normalization for upstream canonical layers.
• Learn and apply Master Data Management (MDM) patterns (golden records, reference data, deduping, identity resolution).
• Implement data quality checks (freshness, nulls, referential integrity, distribution drift, anomaly detection).
• Contribute to data governance habits: data stewardship, ownership, SLAs, and clear definitions for “source of truth.”
• Help build and maintain a business semantic layer (consistent metric definitions, dimensions, and reusable logic) used by notebooks/BI.
• Partner with stakeholders (Product, Engineering, Finance, GTM, Ops) to translate questions into durable datasets and metrics.
• Use SQL, Python, and Spark where scale demands it; optimize for correctness, performance, and cost.

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 and engineers 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: $130,000 - $170,000 + 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

Together AI is building high-performance inference compute and the software platform around it. We’re looking for an early-career Data Warehouse Engineer with strong fundamentals and high growth potential to grow into a technical lead over time. You’ll contribute to designing and operating our data warehouse, ETL pipelines and orchestration, work on core data models and metrics, and help raise the bar on data quality and governance across the org — with mentorship and support from experienced engineers.

Requirements

• 0–4 years of professional experience (or strong internships/projects) working with data warehouses, pipelines, or analytics engineering.
• Solid SQL fundamentals — you’re comfortable writing queries and have some exposure to window functions or dimensional modeling concepts.
• Some hands-on experience with dbt or Airflow, or strong eagerness to learn — coursework and personal projects count.
• Basic Python for scripting and data tooling; any exposure to Spark (PySpark/SQL) is a plus.
• Familiarity with data modeling concepts like SCD2 or star schemas — even if only from coursework.
• Good communication skills: you can ask clarifying questions, explain your reasoning, and work with stakeholders to understand their needs.
• High standards for data quality, reliability, and maintainability — you care about getting things right.

Responsibilities

• Contribute to building and maintaining a medallion/curated data warehouse stack (bronze/silver/gold) for product, usage, billing, and operational data.
• Build and maintain Airflow orchestrated pipelines and dbt transformation projects (modular, tested, documented).
• Help design analytics-ready models: SCD Type 2, star schemas, and appropriate normalization for upstream canonical layers.
• Learn and apply Master Data Management (MDM) patterns (golden records, reference data, deduping, identity resolution).
• Implement data quality checks (freshness, nulls, referential integrity, distribution drift, anomaly detection).
• Contribute to data governance habits: data stewardship, ownership, SLAs, and clear definitions for “source of truth.”
• Help build and maintain a business semantic layer (consistent metric definitions, dimensions, and reusable logic) used by notebooks/BI.
• Partner with stakeholders (Product, Engineering, Finance, GTM, Ops) to translate questions into durable datasets and metrics.
• Use SQL, Python, and Spark where scale demands it; optimize for correctness, performance, and cost.

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 and engineers 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: $130,000 - $170,000 + 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

You’ll join the Data Platform team, responsible for building the backend services and “data products” that power how data moves through the company. We create the core platform primitives — high-quality event streams, reliable access layers, and developer-friendly APIs/tools — so teams across the org can self-serve what they need and ship faster. You’ll contribute to backend services that create value from our company data, and help make our data platform more self-serve so product and engineering teams can easily create and operate event-driven architectures, publish/consume streams, define access models, and ship data products end-to-end. You’ll also work on LLM-adjacent services such as prompt categorization/taxonomy, enrichment, and metadata systems that turn raw telemetry into trusted, usable products — with mentorship and support from experienced engineers.

Responsibilities

• Contribute to backend services that enhance the data platform’s capabilities (APIs, control planes, automation, governance).
• Help enable DIY workflows for teams across the company:

• • Define/publish events and schemas
  • Create/consume streams and subscriptions
  • Establish access models (authz, row/field-level controls where applicable)
  • Manage dataset/catalog metadata, lineage, versioning, and retention

• Contribute to end-to-end data products: ingestion → validation/quality → enrichment → serving (APIs/streams) → observability → adoption.
• Work on prompt categorization and enrichment services: taxonomy design, labeling workflows, classifier/rules integration, evaluation, drift/quality monitoring, and safe rollouts.
• Learn to own reliability: SLOs, alerting, performance/cost tuning, incident response, and postmortems.
• Partner cross-functionally with ML/LLM, infra, security, and product teams to define crisp contracts and deliver durable platform primitives.

Requirements

• 0–4 years building production or project-based backend systems (internships, coursework, and personal projects count).
• Solid fundamentals in at least one backend language (e.g., Go, Python, Java, Rust) and some exposure to API design (REST).
• Eagerness to own work end-to-end: design docs, implementation, testing, deployment, and iteration based on real usage.
• Strong engineering fundamentals: clean, maintainable code, thoughtful abstractions, and a desire to build systems that are easy to evolve.
• Basic data modeling and SQL skills, and some familiarity with at least one of:

• • Streaming/eventing (Kafka/PubSub/Kinesis, etc.)
  • Workflow/compute (Airflow/Spark/Flink/Trino, etc.)
  • OLTP/OLAP stores and data lakes (Postgres + warehouse/lake tech)

• AI augmentation curiosity:

• • You’re curious about how engineers use AI/LLMs to build software faster and better (e.g., coding copilots, agentic workflows, retrieval/knowledge grounding), and you’re eager to apply this to your own work.
  • You understand that AI tools can fail or create issues, and you’re thoughtful about when and how to apply them.

Nice to have

• Any exposure to self-serve platforms, developer tooling, or multi-tenant services.
• Coursework or projects involving LLM/AI products: prompt/response telemetry, eval datasets, embeddings/RAG metadata, model/tool traces, privacy-safe logging.
• Passion for good quality code, highly readable, SOLID principles, design patterns, Domain Driven Design.
• Awareness of security and governance basics: least-privilege access, auditability, data retention, PII handling.

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 and engineers 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: $120,000 - $170,000 + 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  

Data at Brex

Our Scientists and Engineers work together to make data — and insights derived from data — a core asset across Brex. But it's more than just crunching numbers. The Data team at Brex develops infrastructure, statistical models, and products using data. Our work is ingrained in Brex's decision-making process, the efficiency of our operations, our risk management policies, and the unparalleled experience we provide our customers.

What You’ll Do

As a Data Engineer at Brex, you will be a core contributor in transforming raw data into actionable insights for various departments across the organization. You'll collaborate closely with Data Scientists, Software Engineers, and business units to create efficient data models, pipelines, and analytics frameworks that drive the business forward. You also play a leading role in the design, implementation, and maintenance of Core Data tables, our high-quality, curated data source for a wide range of analytic applications. 

Where you’ll work

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

Responsibilities:

• Design, build, and maintain data models and pipelines that scale with the growing number of services, products, and changes in the company.
• Collaborate closely with Data Scientists, Data Analysts, and Business teams to understand their data needs, translating them into robust, efficient, scalable data solutions that enable ease of predictive analytics, data analysis, and metrics formulation. 
• Maintain data documentation and definitions, building and ensuring that source-of-truth tables remain high quality for data science and reporting applications. 
• Develop and enable integration with various data sources, allowing for more data-driven initiatives across the company.
• Apply best practices in data management to ensure the reliability and robustness of data utilized across various analytics applications.
• Set and proliferate company-wide standards for data relating to structure, quality, and expectations.
• Act as a liaison between the technical and non-technical teams, bridging gaps and ensuring that data solutions align with business objectives.
• Use agentic AI where it speeds up pipeline and quality work, without skipping validation.

Requirements:

• 3+ years of experience in Data Engineering, Data Analytics, or a related field such as Analytics Engineering.
• Advanced knowledge of databases and SQL with the ability to efficiently stage, process, and transform data.
• Experience integrating and orchestrating data workflows with various modern data tools and systems.
• Experience with data modeling, ETL/ELT processes, and data warehousing solutions.
• Experience working with a data warehouse such as Snowflake.
• Experience with a data workflow orchestrator tool such as Airflow.
• Experience with a programming language such as Python. 
• Experience with agentic AI. 
• Exceptional quantitative and analytical skills.
• Strong communication skills and ability to collaborate with various stakeholders, both technical and non-technical.

Nice to have:

• Familiarity with BI tools such as Looker, Tableau, or similar platforms. 
• Solid dbt in production: models, tests, docs, and collaboration in a shared repo. 
• AI-ready data: Metrics and dimensions are clear and reusable so AI-assisted analysis does not fork definitions. 
• Experience with Salesforce data integration. 

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

Data at Brex

Our Scientists and Engineers work together to make data — and insights derived from data — a core asset across Brex. But it's more than just crunching numbers. The Data team at Brex develops infrastructure, statistical models, and products using data. Our work is ingrained in Brex's decision-making process, the efficiency of our operations, our risk management policies, and the unparalleled experience we provide our customers.

What You’ll Do

As a Data Engineer at Brex, you will be a core contributor in transforming raw data into actionable insights for various departments across the organization. You'll collaborate closely with Data Scientists, Software Engineers, and business units to create efficient data models, pipelines, and analytics frameworks that drive the business forward. You also play a leading role in the design, implementation, and maintenance of Core Data tables, our high-quality, curated data source for a wide range of analytic applications. 

Where you’ll work

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

Responsibilities:

• Design, build, and maintain data models and pipelines that scale with the growing number of services, products, and changes in the company.
• Collaborate closely with Data Scientists, Data Analysts, and Business teams to understand their data needs, translating them into robust, efficient, scalable data solutions that enable ease of predictive analytics, data analysis, and metrics formulation. 
• Maintain data documentation and definitions, building and ensuring that source-of-truth tables remain high quality for data science and reporting applications. 
• Develop and enable integration with various data sources, allowing for more data-driven initiatives across the company.
• Apply best practices in data management to ensure the reliability and robustness of data utilized across various analytics applications.
• Set and proliferate company-wide standards for data relating to structure, quality, and expectations.
• Act as a liaison between the technical and non-technical teams, bridging gaps and ensuring that data solutions align with business objectives.
• Use agentic AI where it speeds up pipeline and quality work, without skipping validation.

Requirements:

• 3+ years of experience in Data Engineering, Data Analytics, or a related field such as Analytics Engineering.
• Advanced knowledge of databases and SQL with the ability to efficiently stage, process, and transform data.
• Experience integrating and orchestrating data workflows with various modern data tools and systems.
• Experience with data modeling, ETL/ELT processes, and data warehousing solutions.
• Experience working with a data warehouse such as Snowflake.
• Experience with a data workflow orchestrator tool such as Airflow.
• Experience with a programming language such as Python. 
• Experience with agentic AI. 
• Exceptional quantitative and analytical skills.
• Strong communication skills and ability to collaborate with various stakeholders, both technical and non-technical.

Nice to have:

• Familiarity with BI tools such as Looker, Tableau, or similar platforms. 
• Solid dbt in production: models, tests, docs, and collaboration in a shared repo. 
• AI-ready data: Metrics and dimensions are clear and reusable so AI-assisted analysis does not fork definitions. 
• Experience with Salesforce data integration. 

Compensation:

The expected salary range for this role is $120,800 - $151,000. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

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

About the Role

This role is for someone who wants to own the technical win. As a Senior Enterprise Solutions Engineer at Hightouch, you will partner with your Account Executives to drive the full technical sales motion from deep discovery and architectural solutioning to tailored product demonstrations and rigorous technical validation. You will own relationships with technical champions, co-develop account strategy, and guide customers to our solutions by navigating complex, multi-stakeholder buying committees and running competitive enterprise sales cycles. We leverage a disciplined value-selling motion, and are looking for deep experience in enterprise sales cycles where you have had to earn the technical win, not assume it.

Hightouch sits at the intersection of two powerful technological shifts: the rise of agentic AI and the maturation of the cloud data warehouse. We are solving real, complex problems at the intersection of marketing and data. As a senior SE, you will become a product expert, a trusted advisor to enterprise buyers, and a meaningful contributor to a team that is still early in building something significant.

What You’ll Do

• Lead technical discovery to deeply understand a customer’s data architecture, marketing workflows, and business objectives; and translate that into differentiated requirements and a compelling solution design.
• Design and deliver tailored product demonstrations and architectural solutions spanning Hightouch’s Customer Studio, Identity Resolution, Match Booster, and Agentic Marketing Platform.
• Run proof-of-concept engagements end-to-end: scoping, designing, executing, and validating with the discipline and rigor required to close complex enterprise deals.
• Build deep technical relationships with data engineers, architects, and marketing technologists becoming their trusted advisor.
• Navigate complex buying committees, engaging confidently with technical teams, marketing leaders, and C-suite executives

What Success Looks Like

Quickly build technical expertise, moving from foundational product, use case, and demo fluency in the first three months to independently closing deals and solving complex, multi-product problems within six months. You will begin contributing beyond your own deals and raising the collective bar for the team within a year.

What We’re Looking For

Required

• 7+ years of progressive enterprise pre-sales or solutions engineering experience, including complex solution architecture across multi-stakeholder buying cycles.
• Demonstrated ability to lead technical discovery, architectural whiteboarding, and solution design with both technical and business audiences, including C-suite stakeholders.
• Deep familiarity with modern data ecosystems: cloud data warehouses, data modeling, data engineering, integrations, and APIs - and the ability to navigate a customer’s data architecture confidently without needing to be a hands-on practitioner.
• Proven ability to build technical champions and influence complex buying committees across engineering, marketing, and executive levels.
• Experience in competitive enterprise sales motions. Familiarity with MEDDPICC, Command the Message, or equivalent value-selling frameworks is a strong plus.
• Intellectual curiosity, high ambition, and humility. You want to keep getting better, and you are honest about what you do not yet know.
• A team-first orientation where you elevate the people around you, operate within shared frameworks and processes, and measure yourself by more than your own quota.

Bonus

• Hands-on experience with Customer Data Platforms (CDPs), Marketing Automation, Data Warehouses, or similar technologies at the integration, architecture, or use case level.
• Background collaborating with data engineering, science, or analytics teams, either as a customer or in a prior role.
• Experience in a high-growth B2B SaaS company scaling through a significant inflection point.

Why Hightouch

We are building something that has the potential to redefine how companies use data to drive marketing outcomes. We’ve doubled in size each of the last three years, earned recognition as a Gartner Magic Quadrant leader in CDP, and have been acknowledged in the top 10 of the Forbes Best Startups list the last two years.

Beyond the market position and the customer list, what makes this team worth joining is the culture and values. Two core values exemplify how this team operates:

Forever Hungry — We are ambitious and we celebrate wins, but we are never fully satisfied. We are always looking for ways to push further, move faster, and do more for our customers and each other.

Raising the Bar — We have high expectations for performance and believe in having exceptional talent in every position. We look deeper than credentials, prioritize trajectory over pedigree, and invest in people who make everyone around them better.

As a senior SE at Hightouch, you will have the autonomy to shape your territory, the product complexity to do technically meaningful work, and a team around you that makes it worth showing up for.

Compensation

On-Target Earnings: $220,000–$270,000 annually
Base Salary: $154,000–$189,000 annually

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

* Travel required for customer and team engagements.

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.

About the Role

Customer Studio is Hightouch’s second major product that provides a purpose-built no-code suite of features that enables anyone, regardless of their SQL experience, to activate data directly from their warehouse. The product has become an essential part of the day-to-day operations for marketing and growth teams to build and measure audiences and campaigns, and it also serves as part of the underlying infrastructure that powers our agentic marketing workflows. The team blends product and customer-first thinking with challenges at high data scale, helping us reimagine marketing in an AI-native world.

We’re looking to add a product-minded backend engineer to the team. The ideal candidate will be comfortable diving deep into backend and distributed systems and think holistically about architecture, scalability, maintainability, and reliability. We also are looking for someone with strong customer and product thinking and who feels comfortable writing and engaging with product specs.

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

• Data Warehouse Performance: We’re consistently pushing the limits of what data warehouses can handle in terms of speed, performance, and interactivity. We explore optimizations generally (e.g. optimizing queries, storing pre-computed state), as well as investigate warehouse-specific improvements.
• Analytics and Experimentation: How can Hightouch help customers build segments and decide what data they want to sync? How can we facilitate experimentation to downstream tools, including tracking the performance of different audiences?
• Real-time Audience Syncing: Our users are always interested in faster syncing and fresher data. As warehouses become more real-time and adopt technologies like CDC, we’re excited to explore real-time audience computation and syncing.
• Generative AI: We’re continuously working on making the user experience of acting on data more seamless, and are optimistic generative AI can enhance user workflows.

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.

Interview Process

Our interview process focuses on evaluating fit for the most important dimensions of the role: product sense, ability to architect backend and distributed 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 [45m]: 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.
• System Design Interview [90m]: 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.

#LI-DNI

About the Role

This role is for someone who wants to own the technical win. As an Enterprise Solutions Engineer at Hightouch, you will partner with your Account Executives to drive the full technical sales motion from deep discovery and architectural solutioning to tailored product demonstrations and rigorous technical validation. You will own relationships with technical champions, co-develop account strategy, and guide customers to our solutions by navigating complex, multi-stakeholder buying committees and running competitive enterprise sales cycles. We leverage a disciplined value-selling motion, and are looking for deep experience in enterprise sales cycles where you have had to earn the technical win, not assume it.

Hightouch sits at the intersection of two powerful technological shifts: the rise of agentic AI and the maturation of the cloud data warehouse. We are solving real, complex problems at the intersection of marketing and data. As a senior SE, you will become a product expert, a trusted advisor to enterprise buyers, and a meaningful contributor to a team that is still early in building something significant.

What You’ll Do

• Lead technical discovery to deeply understand a customer’s data architecture, marketing workflows, and business objectives; and translate that into differentiated requirements and a compelling solution design.
• Design and deliver tailored product demonstrations and architectural solutions spanning Hightouch’s Customer Studio, Identity Resolution, Match Booster, and Agentic Marketing Platform.
• Run proof-of-concept engagements end-to-end: scoping, designing, executing, and validating with the discipline and rigor required to close complex enterprise deals.
• Build deep technical relationships with data engineers, architects, and marketing technologists becoming their trusted advisor.
• Navigate complex buying committees, engaging confidently with technical teams, marketing leaders, and C-suite executives

What Success Looks Like

Quickly build technical expertise, moving from foundational product, use case, and demo fluency in the first three months to independently closing deals and solving complex, multi-product problems within six months. You will begin contributing beyond your own deals and raising the collective bar for the team within a year.

What We’re Looking For

Required

• 5+ years of progressive enterprise pre-sales or solutions engineering experience, including complex solution architecture across multi-stakeholder buying cycles.
• Demonstrated ability to lead technical discovery, architectural whiteboarding, and solution design with both technical and business audiences, including C-suite stakeholders.
• Deep familiarity with modern data ecosystems: cloud data warehouses, data modeling, data engineering, integrations, and APIs - and the ability to navigate a customer’s data architecture confidently without needing to be a hands-on practitioner.
• Proven ability to build technical champions and influence complex buying committees across engineering, marketing, and executive levels.
• Experience in competitive enterprise sales motions. Familiarity with MEDDPICC, Command the Message, or equivalent value-selling frameworks is a strong plus.
• Intellectual curiosity, high ambition, and humility. You want to keep getting better, and you are honest about what you do not yet know.
• A team-first orientation where you elevate the people around you, operate within shared frameworks and processes, and measure yourself by more than your own quota.

Bonus

• Hands-on experience with Customer Data Platforms (CDPs), Marketing Automation, Data Warehouses, or similar technologies at the integration, architecture, or use case level.
• Background collaborating with data engineering, science, or analytics teams, either as a customer or in a prior role.
• Experience in a high-growth B2B SaaS company scaling through a significant inflection point.

Why Hightouch

We are building something that has the potential to redefine how companies use data to drive marketing outcomes. We’ve doubled in size each of the last three years, earned recognition as a Gartner Magic Quadrant leader in CDP, and have been acknowledged in the top 10 of the Forbes Best Startups list the last two years.

Beyond the market position and the customer list, what makes this team worth joining is the culture and values. Two core values exemplify how this team operates:

Forever Hungry — We are ambitious and we celebrate wins, but we are never fully satisfied. We are always looking for ways to push further, move faster, and do more for our customers and each other.

Raising the Bar — We have high expectations for performance and believe in having exceptional talent in every position. We look deeper than credentials, prioritize trajectory over pedigree, and invest in people who make everyone around them better.

As a senior SE at Hightouch, you will have the autonomy to shape your territory, the product complexity to do technically meaningful work, and a team around you that makes it worth showing up for.

Compensation

On-Target Earnings: $190,000–$250,000 annually
Base Salary: $133,000–$175,000 annually

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

* Travel required for customer and team engagements.

About the Role

In the last 12-18 months, Hightouch has been adopted by larger and larger customers and enterprises. These enterprises have both high data scale as well as complex organizations with many individuals and teams using Hightouch on a daily basis. The Control Plane team focuses on building user-friendly but powerful tools and products for enterprises to efficiently onboard onto Hightouch and manage and scale their Hightouch deployments.

We’re looking to add a product-minded backend engineer to the team. The ideal candidate will be comfortable diving deep into backend, distributed systems, and asynchronous workflows and think holistically about architecture, scalability, maintainability, and reliability. We are also looking for someone with strong customer and product thinking and who feels comfortable writing and engaging with product specs.

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

• Roles, Permissions, and Access Control: We have a flexible and powerful access control framework that allows enterprise admins to configure the right level of permissions for different groups of users and teams within their company. As Hightouch expands our product lines, the Control Plane team will also adapt and extend our access control capabilities to support that growth.
• Change Management: When a customer’s underlying data model or data warehouse changes, this can have downstream impact on their Customer Studio schema, audiences, and other syncs and data pipelines. What tools can we build for admins to better manage these types of changes at scale?
• Data Warehouse Performance and Costs: As customers continue to adopt Hightouch within their organizations and their usage of Hightouch grows, they’ll drive more warehouse activity and compute from Hightouch. How can we help admins better understand and optimize warehouse performance and costs as a result of Hightouch activity?

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 - $260,000 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: product sense, ability to architect backend and distributed 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.
• System Design Interview [90m]: 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 are looking for a distributed systems engineer to work on the systems that power the syncing engine our customers and other engineering teams rely on. This presents an exciting challenge where you can apply your expertise in distributed systems, performance optimization, and troubleshooting to push the boundaries of what is possible and meaningfully improve our ability to move massive amounts of customer data. This role also provides a unique opportunity to work on a multi-cloud and multi-region infrastructure that supports a global customer base.

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:

• Sync Speed: Customers want to sync a lot of data to important destinations like Facebook and Snapchat, which requires us to analyze every part of our syncing process and find where we can optimize to sync data more quickly
• Streaming Syncing: We currently sync data from sources in batch only, but envision a world where we also do syncs in real-time and support streaming sources like webhooks and queues
• Scalability and Reliability: As part of our rapid growth, we’re always evaluating current future bottlenecks in scaling and reliability, and architecting for the next order of magnitude of growth
• Personalization API: Our Personalization API product provides a low latency caching layer on top of data warehouses that enable customers to use their data warehouse for real-time personalization use cases with <30ms p90 response times with QPS in the millions
• 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

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 have experience and comfort with distributed systems and high-scale systems or the ability and desire to build this experience quickly. This experience can take different forms:

• You’ve built syncing engines that process and move terabytes of data per day in a scalable way
• You’ve created event collection or data streaming services that power company critical systems
• You’ve owned systems that have undergone orders of magnitude of growth and helped them scale accordingly
• You have relevant skills and are a fast learner who is excited to take on the challenges we face

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.

• 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 [45m]: 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.
• System Design Interview [90m]: 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.

#LI-DNP

About the Role

This role is for someone who wants to own the technical win. As an Enterprise Solutions Engineer at Hightouch, you will partner with your Account Executives to drive the full technical sales motion from deep discovery and architectural solutioning to tailored product demonstrations and rigorous technical validation. You will own relationships with technical champions, co-develop account strategy, and guide customers to our solutions by navigating complex, multi-stakeholder buying committees and running competitive enterprise sales cycles. We leverage a disciplined value-selling motion, and are looking for deep experience in enterprise sales cycles where you have had to earn the technical win, not assume it.

Hightouch sits at the intersection of two powerful technological shifts: the rise of agentic AI and the maturation of the cloud data warehouse. We are solving real, complex problems at the intersection of marketing and data. As a senior SE, you will become a product expert, a trusted advisor to enterprise buyers, and a meaningful contributor to a team that is still early in building something significant.

What You’ll Do

• Lead technical discovery to deeply understand a customer’s data architecture, marketing workflows, and business objectives; and translate that into differentiated requirements and a compelling solution design.
• Design and deliver tailored product demonstrations and architectural solutions spanning Hightouch’s Customer Studio, Identity Resolution, Match Booster, and Agentic Marketing Platform.
• Run proof-of-concept engagements end-to-end: scoping, designing, executing, and validating with the discipline and rigor required to close complex enterprise deals.
• Build deep technical relationships with data engineers, architects, and marketing technologists becoming their trusted advisor.
• Navigate complex buying committees, engaging confidently with technical teams, marketing leaders, and C-suite executives

What Success Looks Like

Quickly build technical expertise, moving from foundational product, use case, and demo fluency in the first three months to independently closing deals and solving complex, multi-product problems within six months. You will begin contributing beyond your own deals and raising the collective bar for the team within a year.

What We’re Looking For

Required

• 5+ years of progressive enterprise pre-sales or solutions engineering experience, including complex solution architecture across multi-stakeholder buying cycles.
• Demonstrated ability to lead technical discovery, architectural whiteboarding, and solution design with both technical and business audiences, including C-suite stakeholders.
• Deep familiarity with modern data ecosystems: cloud data warehouses, data modeling, data engineering, integrations, and APIs - and the ability to navigate a customer’s data architecture confidently without needing to be a hands-on practitioner.
• Proven ability to build technical champions and influence complex buying committees across engineering, marketing, and executive levels.
• Experience in competitive enterprise sales motions. Familiarity with MEDDPICC, Command the Message, or equivalent value-selling frameworks is a strong plus.
• Intellectual curiosity, high ambition, and humility. You want to keep getting better, and you are honest about what you do not yet know.
• A team-first orientation where you elevate the people around you, operate within shared frameworks and processes, and measure yourself by more than your own quota.

Bonus

• Hands-on experience with Customer Data Platforms (CDPs), Marketing Automation, Data Warehouses, or similar technologies at the integration, architecture, or use case level.
• Background collaborating with data engineering, science, or analytics teams, either as a customer or in a prior role.
• Experience in a high-growth B2B SaaS company scaling through a significant inflection point.

Why Hightouch

We are building something that has the potential to redefine how companies use data to drive marketing outcomes. We’ve doubled in size each of the last three years, earned recognition as a Gartner Magic Quadrant leader in CDP, and have been acknowledged in the top 10 of the Forbes Best Startups list the last two years.

Beyond the market position and the customer list, what makes this team worth joining is the culture and values. Two core values exemplify how this team operates:

Forever Hungry — We are ambitious and we celebrate wins, but we are never fully satisfied. We are always looking for ways to push further, move faster, and do more for our customers and each other.

Raising the Bar — We have high expectations for performance and believe in having exceptional talent in every position. We look deeper than credentials, prioritize trajectory over pedigree, and invest in people who make everyone around them better.

As a senior SE at Hightouch, you will have the autonomy to shape your territory, the product complexity to do technically meaningful work, and a team around you that makes it worth showing up for.

Compensation

On-Target Earnings: $190,000–$250,000 annually
Base Salary: $133,000–$175,000 annually

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

* Travel required for customer and team engagements.

About the Role

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

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

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

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

Own diagnostics, insights, and tuning for AI Decisioning campaigns

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

Work deeply with data in notebooks and customer warehouses

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

Build lightweight tooling that enables scale

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

Communicate ML concepts clearly to non-technical stakeholders

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

What We’re Looking For

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

Bonus Points

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

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

Interview Process

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

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

Intro Call [15–30m]

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

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

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

Experiment Design & Analysis Session [90m]

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

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

Hiring Manager Interview [30m]

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

As a Senior Analyst, Analytics engineering, you’ll enable our analytics community to get the most out of our data. You’ll support analysts of varying levels of scope and experience by building, maintaining, and governing a data warehouse of operational and financial data.

You’ll keep us on the cutting edge of AI-driven analytics by partnering with Data Ops to develop a semantic layer and various agents to facilitate faster, better, and more interpretable insights.

We're seeking someone based near one of the following cities: San Francisco, Salt Lake City, Chicago, or New York City.

RESPONSIBILITIES

• Develop and maintain data models in Snowflake with dbt
• Design and build a testing and alerting framework to improve data quality
• Create data governance/democratization policies to support the broader analyst community
• Design and build a self-service analytics AI framework, including both the semantic modeling and tooling architecture

Partner with Data Engineering to optimize data staging in Snowflake

QUALIFICATIONS 

• 4+ years of experience in data engineering, analytics, or data science
• A bachelor’s degree in Computer Science, Information Systems, Statistics, or another quantitative field
• Advanced SQL knowledge (experience with dbt is a plus)
• Moderate Python knowledge (JavaScript knowledge is a plus)
• Experience building complex data pipelines using engineering best practices in platforms like Airflow or Prefect

Strong organizational discipline and quality assurance skills

PERKS & BENEFITS 

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

The annual salary hiring range for this position is $120,000 - $145,000 USD. 

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

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

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

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

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

#LI-NK1

About this role

The Account Manager, Fulfillment owns the post-onboarding relationship for a portfolio of brands enrolled in Fulfilled by Faire. This is a commercially-oriented role sitting at the intersection of customer success, strategic account management, and operational consulting. The AM is accountable for brand retention, unlocking addressable SKUs within FbF, and driving the consolidation of non-Faire wholesale volume onto the platform — ultimately increasing FbF's share of each brand's total distribution.

This role requires equal fluency in relationship management and data-driven storytelling. The best AM will translate operational metrics into commercial conversations, coach brands on the cost, ease, and growth benefits of FbF, and proactively identify at-risk accounts before churn signals become churn events.

What you’ll do 

1. Business Reviews & Brand Relationships

• Own the QBR/MBR cadence for your portfolio of brands — prepare, deliver, and follow up on structured business reviews that connect FbF operational health to brand revenue outcomes. Note: this is specific to Fulfillment, different than BSMs
  • BSM = general portfolio of programs and brand perf on Faire, how's it all going, ROI of each program etc.
  • Fulfillment AM = goal of retention + revenue; then how to coach brands on cost/ease/growth
• Build multi-threaded relationships within brand accounts (founder, ops lead, sales director) to ensure Faire has a durable presence beyond a single point of contact.
• Develop and maintain a living account plan for each brand documenting their wholesale strategy, growth goals, pain points, and consolidation opportunity.
• Track and surface brand health signals (fulfillment SLA trends, return rates, catalog coverage, order velocity) to shape the review narrative and prioritize interventions.

2. Churn Prevention & Retention

• Maintain a real-time risk register for your portfolio — flag brands showing signs of disengagement (declining order volume, SLA friction, support ticket escalation, low catalog activity) and activate retention protocols before churn is formally triggered.
• Lead escalation management for brands experiencing fulfillment issues; coordinate internally with FbF Ops and Warehouse teams to resolve and close the loop with the brand (including post onboarding questions + feedback)
• Build and recommend custom “save” plans for at-risk accounts, including fee concessions, operational audits, and executive engagement where warranted (ie where to offer appeasements and program benefits)
• Conduct structured off-boarding interviews with any brand that churns to capture root cause and feed insights back to product, ops, and leadership.

3. Consolidation & Non-Faire Wholesale Volume

• Map each brand's total wholesale footprint — identify the volume, channels, and retail segments currently fulfilled outside of Faire and quantify the consolidation opportunity.
• Build and present a compelling consolidation case tailored to each brand: cost per order comparison (FbF vs. 3PL vs. self-fulfill), SLA reliability benchmarks, and projected net margin impact of migrating volume to FbF.
• Develop milestone-based migration plans for brands willing to consolidate, coordinating with Warehouse Ops to ensure capacity and onboarding support.
• Track consolidation pipeline and report GMV-at-risk (volume outside Faire) alongside GMV-converted (volume successfully moved to FbF) in your portfolio metrics.

4. Catalog Penetration & Upsell

• Audit each brand's active Faire catalog against their full SKU assortment — identify categories, price points, or product lines with low representation on the platform.
• Partner with brands to expand catalog depth and breadth, with particular focus on high-velocity SKUs and seasonal assortment that can drive incremental retailer demand.
• Position catalog growth as a retention lever: more SKUs in FbF increases platform stickiness and makes brand consolidation structurally harder to reverse

Qualifications

• 3–5 years of experience in account management, customer success, or strategic partnerships — preferably in a marketplace, logistics, e-commerce, or B2B SaaS context.
• Demonstrated track record of owning commercial outcomes (retention, expansion revenue, or upsell) within a named account portfolio.
• Strong analytical fluency — able to pull and synthesize data from BI tools (Looker, Mode, Snowflake) to build business cases and executive-level narratives.
• Excellent written and verbal communication; comfortable presenting to brand founders and operators with conviction and clarity.
• Experience managing escalations and cross-functional coordination under time pressure.

Preferred

• Background in wholesale, retail supply chain, 3PL operations, or fulfillment — understanding of landed cost economics and operational trade-offs is a meaningful differentiator.
• Experience at a marketplace or platform company with both buyer and seller stakeholders.
• Familiarity with Zendesk, Salesforce, or similar CRM/support tooling.
• Comfort with ambiguity and iterative process-building; this role will help define its own playbook.

Salary Range

On-Target Earnings (OTE) Range
San Francisco: the pay range for this role is $132,000 to $181,500 per year.

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

About the role

As an Analytics Data Engineering Manager focused on Product, you will build and lead the analytics engineering team responsible for creating the data foundations that enable data-driven decision making across Anthropic’s Product organization.  You will oversee the development of scalable data solutions for Product pillars – including Consumer, Claude Code, Enterprise & Verticals, Growth, Platform Product – managing a team of analytics engineers and working closely with stakeholders across Data Science, Product, and Engineering to ensure teams have access to reliable, accurate metrics that can scale with our company’s growth.

In this role, you will balance hands-on technical leadership with people management, setting the strategic vision for product data foundations while developing and mentoring team members.  You will partner closely with Product Data Scientists, Product Managers, and Product Engineers to understand how users interact with Claude, how to measure product quality and growth, and how to transform raw event logs into insightful data marts that power product decisions.

Responsibilities:

• Build and scale the Product Analytics Engineering team, including hiring and mentoring a team of high-performing analytics engineers embedded with Product pillars

• Define and execute the strategic roadmap for product data foundations and analytics capabilities

• Oversee the design and implementation of scalable data pipelines, data models, and analytics solutions that transform raw product event logs into canonical datasets and insightful data marts

• Partner with Data Science, Product, and Engineering leadership to understand data needs and translate them into technical requirements

• Establish and maintain high data integrity standards, SLAs, alerting, and best practices for the team

• Drive the development of foundational data products, dashboards, and tools to enable self-serve analytics; partner with the Data Science team to build innovative data tools using Claude to scale data-driven decisions across Product teams

• Foster a culture of technical excellence, continuous learning, and data-driven decision making

• Serve as a technical thought leader for data modeling, ETL processes, and product analytics infrastructure

You might be a good fit if you have:

• 5+ years of experience managing analytics engineering or data engineering teams, preferably in a scaling startup environment

• 8+ years of total experience in analytics engineering, data engineering, or similar data-focused roles

• Deep expertise in data modeling, ETL pipelines, and data warehouse architecture

• Strong technical foundation with expertise in SQL, Python, dbt, and modern data stack tools

• Proven track record of building and leading high-performing teams

• Experience partnering with Data Science, Product, and Engineering leaders to deliver key product metrics and user behavior insights

• Demonstrated ability to balance strategic thinking with hands-on technical leadership

• Strong communication skills with the ability to translate complex technical concepts for diverse audiences

• Experience scaling analytics functions from early stage to maturity in rapidly changing environments

• Track record of establishing data governance, quality standards, and best practices

• A bias for action and urgency, not letting perfect be the enemy of the effective

• A “full-stack mindset”, not hesitating to do what it takes to solve a problem end-to-end

• A passion for Anthropic’s mission of building helpful, honest, and harmless AI

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.

About the Role

Chime is the largest and fastest-growing U.S. player in the challenger-banking space. Through our banking partners, we offer access to bank accounts with fee-free overdraft, provide members the chance to receive early access to their paychecks, help them improve their credit, and more. We created Chime because we believe everyone deserves financial peace of mind.

We’re looking for a Lead Data Analyst to drive forecasting for key growth and revenue drivers and deliver insights that shape business decisions. You’ll own end-to-end forecasting workstreams such as member growth, purchase volume, deposit volume, and intramonth performance tracking - while partnering closely across Analytics, Data Science, Product, Marketing, and Investor Relations.

This role is ideal for someone who’s highly analytical and model-driven, but equally strong at turning numbers into a clear narrative that leaders can act on.

The base salary offered for this role and level of experience will begin at $152,000 and up to $210,000. 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

• Own core forecasting workstreams for key business metrics (e.g., member growth, purchase volume, deposit volume), including in-year outlooks and contributions to longer-range forecasting.
• Build, maintain, and improve forecasting models that are accurate, transparent, and scalable; document assumptions and create repeatable processes.
• Run intramonth pacing, variance, and sensitivity analyses, identifying key drivers and surfacing risks/opportunities early.
• Develop scenarios and “what-if” analyses to support planning and real-time decision-making (e.g., upside/downside cases, impact of product or marketing changes).
• Partner cross-functionally to align inputs and assumptions, reconcile differences across reporting/forecasting views, and ensure a single source of truth where possible.
• Own unit economics and profitability analytics, including LTV/CAC, ROI analysis, and framework development for evaluating product and growth initiatives.
• Improve dashboards and forecasting tooling (spreadsheets, Looker/Pigment or similar) to increase visibility, consistency, and speed of insight.

To thrive in this role, you have

• 4–8 years of experience in forecasting, finance analytics, strategic finance, or a similar quantitative role (fintech/payments/consumer financial services is a plus).
• Demonstrated ability to own forecasting end-to-end and deliver decision-driving insights to senior stakeholders.
• Strong modeling instincts: comfortable living in the details (assumptions, drivers, sensitivities) while keeping the business story straight.
• Excellent communication: able to translate analytical output into crisp narratives, tradeoffs, and recommendations for technical and non-technical audiences.
• Expert SQL skills - able to translate business questions into robust queries, understand edge cases, and explore a warehouse efficiently to find the right data.
• Proficiency in Python or R - writes reproducible, well-structured code with a tendency toward automation and scalable analysis.
• High accountability, strong judgment, and comfort operating in ambiguity and fast-moving environments.

#LI-Hybrid #LI-BE1

About the Role

This is the first dedicated data hire on Together AI's Finance team. You will own the data layer that Finance runs on — building from scratch the models, pipelines, and reporting infrastructure that allow Strategic Finance, FP&A, and Accounting teams to get reliable answers quickly. The person in this role will have direct exposure to every part of the Finance organization and a real opportunity to shape how data-driven decision-making develops here as the company scales.

A significant portion of your work will touch the data behind the economics of Together's infrastructure, which sits behind nearly every financial question we ask. You will work closely with Together's Data and Commerce engineering team, which owns the underlying billing pipelines and data warehouse. Your job is to define and build the modeling and reporting layer that turns raw operational data into finance-grade datasets — aligning on data contracts, representing Finance's requirements in data design decisions, and ensuring the metrics Finance depends on are correct, documented, and trusted.

Responsibilities

• Own and evolve the dbt transformation layer for Finance: design, build, test, document, and maintain models covering billing, financial performance, compute unit economics, and operational metrics
• Author and maintain Airflow DAGs (Astronomer-managed) that orchestrate Finance dbt runs, data quality checks, and downstream dependencies reliably
• Deliver dashboards and reporting in Hex for the executive team covering financial performance, utilization, and key operating metrics
• Partner with Strategic Finance, FP&A, and Accounting teams on the data infrastructure behind forecasting, cost modeling, and other financial analyses
• Set data quality standards across Finance data products and own incident response when Finance-critical pipelines break
• Build the data foundation – clean, well-structured, documented, and reliably maintained – that enables Finance team to self-serve data analysis and supports AI automation and agentic workflows 

Requirements

• 5+ years in an analytics engineering or data engineering role, with meaningful time supporting Finance or business operations teams
• Expert SQL and production-grade dbt experience — models, tests, docs, snapshots, incremental strategies; you've designed a dbt project from scratch and maintained it
• Hands-on experience with Snowflake and Airflow in production; familiarity with Astronomer and the Cosmos dbt integration is a strong plus
• Solid dimensional modeling fundamentals: star schemas, slowly changing dimensions, fact table grain — you can apply Kimball principles without needing to look them up
• Strong dashboarding skills with a track record of executive-facing reporting that people actually use; experience with Hex or a comparable notebook/BI tool
• Clear communicator who can align stakeholders on metric definitions and translate between engineering tradeoffs and Finance requirements in both directions
• High comfort with ambiguity; this role will require scoping problems from scratch, not executing against pre-defined specs

Nice to Have

• Experience with financial data or billing data such as ARR, usage-based billing, invoice reconciliation, revenue recognition patterns, etc.. We operate a usage-based billing system and this context transfers directly.
• Experience with PII handling, data masking, access-tier modeling, or compliance work (SOC 2, ISO 27001, GDPR, CCPA).
• Familiarity with lakehouse patterns (Iceberg, Delta, Hudi) and hybrid warehouse/lake architectures.
• Python for data tooling: automation, data quality frameworks, custom dbt macros or operators.
• Experience with Hex, Metabase, or similar notebook/BI tooling that sits on top of your dbt models.
• Prior experience in a high-growth AI/ML infrastructure or platform company

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: $200k -$240k + 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.  

Build and grow with us! Join Flexport as an Account Executive!

The Opportunity:

We are seeking an Account Executive with experience in freight, end to end supply chain solutions and fulfillment to build and maintain a healthy book of business. You'll be part of a high-performing team where you’ll focus on building up Flexport’s brand while solving customer problems with tech-enabled supply chain and fulfillment solutions. A normal day might include leading a discovery call with a prospect to uncover more about their supply chain processes, project managing the complexities of a global supply chain, reviewing a customer’s growth strategy with their Flexport Operations Team, jumping on a plane and travel with a prospective client to tour a Flexport warehouse, or sharing your best practices with the broader sales team in a peer learning session. This role features a 50/50 compensation model (Base + Uncapped bonus), designed for high-performers to effectively maximize their earnings through a heavily incentivized sales program.

You will

• Build your book of business by closing net-new customers and/or cross-selling and upselling existing customers that contribute to Flexport's overall revenue goals
• Uncover and connect with ideal clients through a combination of self-prospecting and collaboration with our SDR team
• Consult with new clients to understand their supply chain needs
• Create a value-add solution, demonstrating Flexport’s capabilities through remote and in-person meetings
• Lead Monthly and Quarterly Business Meetings with existing clients, helping them to effectively plan for upcoming business
• Navigate, bundle, and sell Flexport's suite of products across the supply chain/shipment lifecycle
• Work closely with the all internal teams (Operations, Ocean, Air, Trucking, Customs, etc) to drive a best in class customer experience 
• Lead the customer onboarding process by leveraging internal resources and teams

You should have

• 5+ years of experience in freight forwarding, logistics, or supply chain industries
• At least 2 years’ experience in a full cycle (prospecting to closing), quota carrying sales role
• An obsession with client happiness. You succeed when they succeed
• Competitive and creative drive to win over customers and think outside the box to get a deal done
• Demonstrated ability to run a structured sales process
• Proven success building and maintaining long term commercial relationships
• A naturally curious and inquisitive approach to client discovery
• Excellent communication, interpersonal, and organizational skills, with the ability to connect in both virtual and face-to-face environments
• Ability to learn fast, strong work ethic, and a burning desire to grow into a top 5% sales executive in the country

We are looking for a Senior Data Engineer to join our Data & ML Platform team, responsible for development, maintenance and support for Oura’s Datalake and adjacent systems, collaborating closely with data scientists, analysts and other departments utilizing the Datalake.

This is a hybrid role based in San Francisco, CA, working onsite 1-2 days per week.

We have offices in San Francisco, San Diego and Los Angeles for those who prefer hybrid or office settings. Oura employees in other major cities (like Boston and New York) occasionally gather informally at local co-working locations.

What you will do: 

• Build, operate, and improve Oura’s Datalake consisting of systems to move, process, and store large amounts of data (Terabyte–Petabyte scale) leveraging tools such as AWS Kinesis, S3, Spark / Glue, Athena, dbt, Iceberg, Snowflake, Docker, workflow engines, and more.
• Design and implement data models and pipelines with a strong focus on data quality, reliability, and governance.
• Ensure that our data platform and processes meet privacy, compliance, and security requirements.
• Build components that support the handling of datasets, training, testing, and release of new on-device and cloud-based ML models.
• Independently collaborate with different stakeholders including Data Scientists, Testing, Firmware, and Hardware to define and implement improvements and new functionality and support internal Datalake consumers in their day-to-day work.
• Write code, mostly in Python and SQL  with occasional additions Typescript, Java or some other language.

We would love to have you on our team if you have:

• 5+ years of experience developing and operating production systems.
• Experience running, monitoring, and debugging production systems at scale on a public cloud. We rely on AWS but experience with other cloud platforms counts too.
• Good architectural understanding of event-driven architectures, workflow engines, database, and data warehouse systems.
• Ability to design robust data models and pipelines, with attention to data accuracy and integrity.
• Experience in building infrastructure and components following best practices such as CI/CD and infrastructure as code.
• Demonstrated skills in writing well-structured, testable, and high-performance code.
• Familiarity with some of the following: Workflow engines, Stream processing, MLops, Spark, Athena, SQL, dbt, Databricks.
• You are self-motivated, proactive, and able to lead and manage your own work effectively.
• A pragmatic and goal oriented approach to development.

What Makes You Stand Out

• Real-life experience with Databricks.
• Familiarity and experience with the Data Mesh approach
• Broad knowledge of software fundamentals, databases, warehouses, and system design with experience on various programming languages

Benefits 

At Oura, we care about you and your well-being. Everyone here at Oura has a ring of their own and we are continually looking to improve employee health.

What we offer:

• Competitive salary and equity packages
• Health, dental, vision insurance, and mental health resources
• An Oura Ring of your own plus employee discounts for friends & family
• 20 days of paid time off plus 13 paid holidays plus 8 days of flexible wellness time off
• Paid sick leave and parental leave

Oura takes a market-based approach to pay, which may vary depending on your location. US locations are categorized into tiers based on a cost of labor index for that geographic area. While most offers will be closer to the starting range, successful candidates' pay will be determined based on job-related skills, experience, qualifications, work location, internal peer equity, and market conditions. These ranges may be modified in the future.

• Region 1 $172,550 - $203,000
• Region 2 $159,000 - $187,000
• Region 3 $148,000 - $174,000

A recruiter can determine your zones/tiers based on your US location.

About the Role

Sigma is transforming how businesses run by delivering a high performance platform on the modern data architecture. Hence, we are growing the engineering team and looking for engineers who are excited to solve challenging problems, deliver impactful capabilities throughout our stack to build world-class technology. You will be part of a talented team of engineers with a shared mission to make data easily accessible for all users.

What You Will Be Doing

• Build testing infrastructure and tooling, including: AI test generation, test harnesses, API, hermetic test environments, load and performance frameworks
• Enable testability of systems and services.
• Build with modern tools and languages, including K6, Rust, and Go
• Refine best practices around making our systems and services high quality
• Participate in test planning and quality strategy reviews
• Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies. We expect successful candidates to be delivering code a majority of their time

Qualifications We Need

• Strong Computer Science fundamentals
• 5+ years industry experience building and maintaining high-quality testing software, especially software other engineers use
• Strong understanding of Testing and Quality Engineering principles
• You drive Quality Culture and feel accomplished enabling others
• Desire to be a great teammate and have fun at work
• Strong sense of craftsmanship, and a healthy academic curiosity

Qualifications We Want (also, skills you’ll learn!)

• Experience with back-end testing frameworks
• AI Test Generation
• Integration, API, and contract testing
• CI/CD Testing Proficiency
• Multi-cloud experience (GCP, AWS, Azure)
• Startup experience

Additional Job details

The base salary range for this position is $170k - $240k 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.

MaintainX is the world's leading AI-powered maintenance and asset management platform, serving 13,000+ customers including Duracell, Shell, Cintas, and Brenntag. We raised $150M in Series D funding led by Bessemer Venture Partners and Bain Capital Ventures, bringing our total funding to $254M. We were named to the Forbes 2025 Cloud 100, the definitive ranking of the top 100 private cloud companies in the world.

The Solutions Consultant will provide high-quality demonstrations of the product to prospective customers by working with sales staff and clients to understand the customer’s business and workflows. They will also be responsible for maintaining content used by both sales staff and clients. The Solutions Consultant will mentor sales staff on product knowledge and be the go-to resource for all technical requests during the pre-sales phase. They will also work with the sales staff to collect customer feedback.

What you’ll do:

• Provide the necessary tools and processes to accelerate deals, execute contracts, and improve sales team efficacy.
• Connect with a variety of customers to help drive sales across all verticals including manufacturing, facilities management, government, and other maintenance and operational businesses.
• Team with sales to present MaintainX to prospective clients, using examples appropriate to their business and communication needs.
• Import real customer data into trial accounts so the customer can interact with their own assets and engage with the platform in the most compelling way.
• Be the go-to product expert who can accurately respond to technical product questions from across the sales teams.
• Stay informed on product updates (3x/week on average) and incorporate the latest functionality into demos, as needed.
• Build trust with customer stakeholders based on product and functional expertise.
• Learn to anticipate customer needs. Utilize your intuitive consulting and selling skills to engage with customer pain points and present possible Sales with MaintainX.
• Collaborate with a Sales Architect to develop customer-specific integrations, between MaintainX and 3rd party software, as needed.
• As a member of a cross-departmental sales team, work with marketing, product management, engineering, implementation, and customer support to find solutions for prospective customers.
• Develop and launch new sales assets and collateral.
• Keep existing sales assets and collateral up-to-date.
• Mentor sales staff by reinforcing product knowledge and messaging/positioning from our product marketing managers, during collaborations.
• Collect marketing and product feedback from day-to-day customer interactions, and provide feedback to the product marketing team.

About you:

• 3+ years of related experience, such as technical sales, implementation, solutions building, or sales/solutions engineering.
• Background in manufacturing, industrial operations, or warehouse environments, preferably with direct exposure to operational workflows.
• Comfortable multi-tasking and keeping the energy high.
• Outstanding verbal and written communication ability.
• Interpersonal and listening skills.
• Insanely detail-oriented and organized.
• Effective problem-solving capabilities.
• Ability to adjust communication style based on customers’ personalities and based on stakeholders’ objectives.
• Ability to present effectively and command attention with a variety of stakeholder perspectives.
• Personality traits: empathic, positive, passionate, creative, smart, high integrity, startup mentality.
• BA degree or higher.

Bonus if you have:

• Prior consulting and/or sales experience.
• Experience with modern sales tech stacks: Salesforce, Salesloft, DiscoverOrg, etc.
• Experience with startups and entrepreneurial organizations.
• Experience working with ERP, CMMS or facility operations software.
• Experience working in a manufacturing facility.
• Ability to perform in a remote work setting.

What’s in it for you:

• Competitive salary and meaningful equity opportunities.
• Healthcare, dental, and vision coverage.
• 401(k) / RRSP enrollment program.
• Take what you need PTO.
• A Work Culture where:
• You’ll work alongside folks across the globe that reflect the MaintainX values, Smart Humble Optimist.
• We believe in meritocracy, where ideas and effort are publicly celebrated.

About us:

Our mission is to deliver one platform for maintenance, repair & operations teams to keep the physical world running. We believe the greatest asset in any organization is the people. That’s why we built an intuitive, mobile-first solution to help boost productivity and collaboration across teams and locations.

MaintainX is committed to creating a diverse environment. All qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Sigma is hiring a Marketing Engineer to grow the pipeline through the website and scale how marketing ships. This is a hybrid role that combines performance marketing, web development, and applied AI. You'll write code, run experiments, and build the systems that let marketing and sales move faster.

You'll be measured on website conversion (especially S2 quantified deal SQL generation), free trial activation, and how much of marketing's recurring work you can automate. This is a new role with wide latitude on tooling and process, working closely with Product Marketing, Sales, and the data team.

What You'll Do

1. Build the Data-to-Web Automation Pipeline

• Sales-to-Web Workflow: Build the pipeline that takes data analyzed in Sigma, drafts content with Claude, and publishes to the site through Sanity. Cut the cycle from weeks to hours.
• Content Operations: Automate the production of customer stories, pricing pages, and feature pages so updates land on the site the same day they land in the data.
• AI Tooling: Build the prompts, Claude Skills, and integrations that make this pipeline reliable and easy for non-engineers to run.

2. Optimize Website Performance

• Conversion Analysis: Diagnose site performance in Sigma. Identify the highest-leverage page changes for SQL generation and trial conversion.
• Experimentation: Run A/B tests and ship code-level changes. Measure outcomes against pipeline impact, not just clicks.
• Free Trial Experience: Rebuild the trial flow to increase the conversion rate from trials to qualified opportunities.

3. Ship Web Pages with Product Marketing

• Page Production: Partner with Product Marketing to design, build, and launch pages without a separate dev cycle.
• Component Library: Build and maintain reusable components that enable PMM to ship pages faster.
• Site Quality: Own performance, accessibility, and SEO for the marketing site.

4. Enable Sales with AI

• GTM Resource Library: Use AI to build a portfolio of battlecards, customer one-pagers, microsites, and sales tools at a pace and cost that wasn't possible before.
• Claude for Sales: Build the prompts, workflows, and Skills that let an AE generate the right document at the right moment without filing a marketing ticket.
• Adoption Tracking: Document which AI workflows actually pay off. Retire the ones that don't.

Qualifications

• Experience: 4+ years in performance marketing, growth engineering, marketing operations, or a related role at a B2B SaaS company.
• Technical Skills: Ability to ship production-quality code for a marketing site. Comfortable with TypeScript and React, REST APIs, and a headless CMS like Sanity, Contentful, or Webflow.
• Data Skills: Can analyze conversion data in SQL and a BI tool. Understands the basics of A/B testing and statistical significance.
• AI Fluency: Has built something real with Claude, GPT, or another LLM. Can speak honestly about where AI helps and where it gets in the way.
• Marketing Instinct: Thinks in funnels and pipeline metrics, not impressions and brand awareness. Can write a clean page without an agency.
• Bias to Ship: Prefers a 75% solution this week to a 100% solution next quarter.

Bonus Points

• Hands-on experience with Sigma, Sanity, or both.
• Has built MCP servers, Claude Skills, or other agentic AI integrations.
• CRO experience on a B2B marketing site, with stories about what worked and what didn't.
• Has worked closely with a sales team and understands how AEs actually use the tools marketing builds.

Additional Job details

The base salary range for this position is $130k - $165k 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.

About ROLLER

ROLLER is not your average software-as-a-service company. With a global presence in over 30 countries, we're here to bring some excitement to the leisure and attractions industry and make a difference! Our mission is to help businesses operate smoothly and create fun and memorable guest experiences by providing seamless ticketing, point-of-sale, self-serve kiosks, memberships and digital waiver processes.

But here's the best part: our team. We're a group of 300+ highly passionate, enthusiastic, and down-to-earth professionals located all around the world who are all working together to build something truly remarkable. We're aiming high and believe that the possibilities are endless. As we continue to grow globally, we're excited to write our success story and have fun along the way.

We genuinely love what we do, and we're looking for like-minded people to join us on this amazing journey. If you're ready to be part of a dynamic team and make a real impact, come aboard, and let's create some unforgettable experiences together at ROLLER!

About the Role

We are seeking a highly technical, hands-on Senior Data Engineer to architect and scale our data infrastructure from the ground up. As a core member of the data function within our Business Technology team, you will be responsible for building the pipelines and models that power smarter decision-making and operational efficiency across the entire organization.

In this foundational role, you will build & architect the modern data stack, ensuring our infrastructure is robust, automated, and governed. You collaborate as a technical partner with GTM ,Product, Finance, P&C to build high-performance data models and pipelines that transform raw data into actionable cross-functional insights.

Joining ROLLER at this pivotal growth stage, you will have the opportunity to make an outsized impact on our technical landscape, directly influencing how we process data to deliver world-class experiences for our customers globally.

What You'll Do

• Scalable Architecture: Design and implement robust Data Modeling and Architecture strategies that support high-volume data processing and maintain long-term scalability.
• Cloud Ecosystem: Develop and manage end-to-end data pipelines using Google Cloud Platform services, specifically leveraging Cloud Run, Cloud Function for compute, BigQuery for storage, and Cloud Composer (Airflow) for orchestration.
• Transformation Excellence: Build, maintain, and document complex data transformation layers using DBT (Data Build Tool) to ensure high data quality and reliability.
• Infrastructure as Code: Automate the provisioning of cloud resources using Terraform and streamline deployment workflows via GitHub Actions CI/CD pipelines.
• Cloud Data Warehousing: Demonstrate expert-level proficiency in managing and optimizing Cloud Data Warehouses, such as Snowflake & BigQuery.
• Team Collaboration: Partner with cross-functional stakeholders to build and scale high-performing data infrastructure that supports engineering, analytics, and Data Program needs.
• Stack Management: Architect and maintain a modern data stack by implementing best-in-class tools including Snowflake, Bigquery, dbt, Fivetran, Looker, Tableau and Airflow.
• Pipeline Engineering: Develop scalable ETL/ELT workflows and robust data models to deliver real-time analytics and unified business reporting.
• Data Visualization: Create and maintain intuitive, high-performance Looker dashboards will be an added advantage.

About You

You are a technical builder who views data as a competitive advantage. You thrive in fast-paced environments and have a proven track record of engineering scalable data foundations from the ground up. Equal parts architect and analytical problem-solver, you excel at balancing long-term technical vision with the daily hands-on execution of complex pipelines.

You are energized by the full lifecycle of data—moving beyond just writing code to actively leading project discovery and analysis alongside cross-functional partners. You take pride in enabling GTM, Product, Finance & P&C teams through clear insights and high-performance systems. Most importantly, you are excited to act as a founding technical force for a high-growth SaaS company that is transforming the guest experience for attractions businesses globally.

• 5+ years of experience in Data & Analytics or Data Engineering with a focus on Scalable cloud driven data pipeline build

• Proven experience in dimensional modeling (Star/Snowflake schema) and designing architectures that support both historical reporting and real-time needs.
• Expert-level proficiency in Snowflake or BigQuery, including performance tuning, cost optimization, and access control (RBAC).
• Hands-on experience with Google Cloud Platform services, specifically Cloud Function, Cloud Run for containerized workloads and Cloud Composer for orchestration.

• Through hands-on experience of dbt (Data Build Tool) to manage transformations, including writing custom macros, implementing tests, and generating documentation.
• Solid experience using Terraform to provision cloud resources, ensuring that infrastructure is version-controlled and reproducible.
• Proficiency in GitHub Actions to automate testing and deployment pipelines for data models and infrastructure.
• Ability to design high-performance dashboards that prioritize user experience and fast load times.

• Experience collaborating with Finance, GTM, and Product to define key metrics (like CAC, LTV, or Churn) and codifying them into the data layer.
• Familiarity with data ingestion tools like Fivetran , Airbyte, Workato, Mulesoft to sync data from various SaaS platforms into the warehouse.

• Operates as a full-stack Data Engineer with the technical authority to architect and build entire data lifecycles, from raw source ingestion to high-impact data visualization.
• Familiarity with business-critical systems like Salesforce, Chargbee, Gainsight, and product analytics tools.
• Strong communicator with a track record of working across technical and non-technical teams to drive alignment.
• You have a high appetite for Technology and AI and a natural curiosity for how it can transform your work. You’re comfortable using AI tools to automate repetitive 'busy work,' freeing you up to focus on high-impact work.

We believe AI is a career-defining inflection point. ROLLER is a fast adopter of new technology like AI, and every team member is empowered to own their learning and use the latest tools to supercharge their impact. We’re looking for candidates with the proficiency and curiosity to embrace AI and technology — not just as a technical skill, but as a core competency to help us achieve big goals

Preferred Qualifications

• Experience partnering with IT or Business Technology teams to drive cross-functional outcomes.
• Exposure to customer success and revenue workflows, such as onboarding journeys, renewal metrics, or support analytics.
• Familiarity with AI/ML pipelines and experimentation frameworks that support data-driven innovation.

Perks!

• You'll get to work on a category-leading product that customers love in a fun, high-growth industry! Check our Capterra and G2 reviews.
• ROLLER Recharge days to celebrate and recharge once we've hit our goals
• Engage in our 'Vibe Tribe' - led by our team members; you can contribute to company-wide initiatives directly. Regular events and social activities, fundraising & cause-related campaigns...you name it. We're willing to make it happen!
• Team Member Assistance Program to proactively support our team's health and wellbeing - access to coaching, education modules, weekly webinars, and more.
• 16 weeks paid Parental Leave for primary carers and 4 weeks paid Parental Leave for secondary carers.
• Work with a driven, fun, and switched-on team that likes to raise the bar in all we do!
• Individual learning & development budget plus genuine career growth opportunities as we continue to expand!

What You Can Expect

1. Initial call with our Talent Acquisition Manager
   You'll have an initial call with our Talent Acquisition Manager to chat through some of your experience to date, salary expectations and you can check off any initial questions you might have.
2. Interview with the Hiring Manager
   You'll get to meet with the hiring manager to learn more about the role & ROLLER whilst also talking through your experience in more detail.
3. Loop Interviews
   This is where you will get to meet our wider ROLLER team to do a 'vibe check' on us to make sure our culture & vibe meet what you are looking for!
4. Offer
   If all lights are green and the fit feel right, we'll conduct reference checks and you'll receive an offer to join!

What You'll Do

This individual is a key contributor on the Commercial Analytics & Operations team, responsible for critical analytics workstreams that inform launch preparation, execution, and strategic planning. The primary focus is data analytics and forecasting a near-market pipeline product, but responsibilities may include commercial analytics needs across the BridgeBio portfolio. This individual will report to the Director of Commercial Analytics.

Responsibilities

• Use data analytics and forecasting to prepare the organization for the commercial launch of one rare disease therapeutic, including providing product performance and competitor market insights to senior leadership and key stakeholders
• Monitor rare disease market dynamics through prescription and related data sources, to proactively inform the commercial organization regarding the strategic implications of emerging trends
• Manage commercial demand forecasts, including forecast assumptions, model construction, and variance analyses, and provide related reporting and analytics
• Partner with internal groups (Marketing, Market Access, Sales Operations, etc.) to understand and integrate key business dynamics into forecast, and to support and implement IC goals
• Design, manage, and evolve performance reporting for near-market pipeline products, including in automated dashboards (ex. PowerBI)
• Develop and maintain analytic tools for the Commercial Analytics organization to help efficiently address ad hoc market questions
• Use primary and secondary data sources to answer critical business questions that shape launch strategy and tactical execution
• Measure the impact (ROI) of key commercial tactics, lead efforts to optimize impact of key initiatives
• Assist/Lead efforts for marketing mix optimization, HCP targeting, HCP/Patient segmentation

Where You'll Work

This is a hybrid role and requires in-office collaboration 2-3x per week, or as needed, in our San Francisco, CA or Palo Alto, CA offices.

Who You Are

• BA or BS; MBA or advanced degree preferred
• 5-10+ years' experience in the Pharmaceutical/Biotech industry
• At least four years in Commercial or Business Analytics in pharma/biotech, including direct forecasting responsibilities
• Experience with patient flow modelling, particularly in rare disease, is preferred
• High analytical capability with a history of leveraging data and analytical techniques to optimize business decisions
• Expertise in claims and Rx, national and subnational datasets, and adept in selecting data sources in a variety of disease areas
• Skilled at clearly communicating analyses, implications, and recommendations distilled from the analysis or forecast
• Experience in designing/managing/implementing business intelligence reporting platforms (e.g., Tableau, PowerBI)
• SQL exposure preferred – you may be expected to power your analytics with custom data extracted independently and efficiently from our warehouse.
• Proven ability to integrate AI-assisted tools into analytical processes
• Comfortable working in a fast-moving, dynamic, and evolving small company environment
• Experience in promotional effectiveness/ROI/marketing mix approaches and/or sales force analytics and operations preferred
• Strong project management skills—the ability to plan, organize and execute multiple projects efficiently, on time, and within budget
• Intellectually curious, seeks and evaluates innovative approaches
• Specialty product launch experience in the US; rare disease therapeutic launch highly preferred
• Ability to lead by example, build partnerships and cross-functional collaborations with open communication, constructive feedback, and organizational flexibility

#LI-LN1

About the Role:

Platform Accounting is the financial engine behind Gusto's payment platform. We record customer cash movements and liabilities, and increasingly corporate cash activity across new and expanding product lines, on Gusto's homegrown payroll infrastructure. This work directly underpins our financial statements, audit readiness, and compliance.

The Associate Principal, Financial Data role is a high-impact position bridging Data, Product Engineering, Accounting, and Finance Operations. This individual will be the steward of financial data integrity, owning the crucial connective layer that ensures all financial data is accurate, complete, and prepared for audits, particularly as the business expands and new products are launched.

This role requires a unique combination of expertise: deep knowledge in accounting and business context, proven experience in maintaining data integrity, and a strong passion for applying innovative AI solutions to financial operations. We are looking for a naturally curious and forward-thinking candidate - someone who is already experimenting with AI tools, developing intelligent workflows, and constantly seeking the next opportunity for optimization.

Here’s what you’ll do day-to-day:

• Own the financial data layer that feeds close, reporting, and controls: ensuring accuracy, completeness, and auditability from source to output
• Own financial and regulatory reporting (money transmission, payroll compliance) across core business and new products, exercising independent judgment on how reporting should be structured, validated, and maintained
• Design and implement AI-powered workflows across reporting, analysis, and controls: evaluating where AI can be trusted, where human judgment is required, and raising the bar on what this function produces
• Direct the design of data controls and documentation standards across financial reporting and compliance workflows, guiding new approaches as audit requirements and business complexity grow
• Lead data requirements and UAT for new product launches and financial system implementations: defining what needs to be built, evaluating whether it meets the standard, and ensuring reporting is in place before go-live
• Stay current on AI tools relevant to financial operations and analytics: evaluating and recommending new capabilities as they emerge, and establishing how they are adopted safely and effectively
• Critically evaluate AI-generated outputs: knowing when to trust them, when to question them, and how to design controls that make financial reporting defensible regardless of how it was produced

You will work across: Accounting, Data, Product Engineering, Operations, Finance Systems, Treasury, and external auditors.

Here’s what we're looking for:

• Bachelor's degree in Finance, Accounting, Economics, Statistics, or a related field with 6-8 years of relevant experience; 
• CPA, CA, or equivalent preferred but not required
• High-growth startup or public company experience strongly preferred
• Experience in FinTech, payments, or payroll is a plus
• Proficient in SQL: comfortable querying, investigating data discrepancies, and validating outputs directly in a data warehouse environment
• An insatiable appetite for AI. You are already experimenting, already deploying, already asking what AI can do next. You have designed and built AI-powered workflows, critically evaluated their outputs, and built controls around them. You exercise judgment on where AI can be trusted in financial reporting and where it cannot.
• Deep accounting and business context. You understand fund flows, payment lifecycles, financial close, and what audit-ready means in practice. You see the interrelationships between data, controls, and financial outcomes, and you know when something is wrong before an auditor finds it.
• Data integrity and controls experience. You have directed data integrity work in a rigorous audit environment, including completeness checks, lineage documentation, control design, and audit response.
• Independence and judgment. You determine your own methods and procedures and navigate complex issues without a clear playbook.
• Cross-functional influence. You advise and shape decisions across Engineering, Data, Accounting, Operations, and external auditors, adapting how you communicate to the audience.
• Clear communication. You translate fluently between technical findings and business language in both directions.

Our cash compensation amount for this role is between $113,190 - $139,601/year in Denver, between $137,020 - $184,977/year for New York/San Francisco. Final offer amounts are determined by multiple factors including candidate location, experience and expertise and may vary from the amounts listed above.

Position Overview

The day-to-day responsibilities will include:

• Owning the financial systems and data strategy, defining and then executing on a 12–24 month roadmap in partnership with Finance and Executive leadership

• Owning end-to-end data architecture, including data lake and data warehouse infrastructure (Azure/Fabric), API and ETL/ELT integrations across source systems (ERP, EPM, HRIS), and BI reporting layers (Power BI)
• Developing and maintaining scalable BI and analytics frameworks that translate complex financial data into clear, actionable business insights
• Establishing and enforcing data governance standards, including master data management (MDM), metadata governance, and data quality frameworks across Finance
• Identifying and implementing AI-driven automation opportunities to transform Finance operations, reporting, and insight generation
• Leading large-scale system initiatives from requirements gathering through delivery, managing timelines, stakeholders, and cross-functional dependencies, including managing external technical consultant relationships
• Flexing between strategic leadership and hands-on contributor work — directing a small group of internal and external resources while personally contributing to writing code, building pipelines, designing data models and system oversight
• Driving technology adoption and change management across our Holding Company and support industry vertical teams in system implementation and adoption
• Translating business requirements into scalable technical solutions, acting as the bridge between Finance leadership and technical teams
• Partnering closely with Finance, IT resources and cross-functional stakeholders to align systems strategy with business priorities

Qualifications

• 10+ years of progressive experience in Data Architecture, Finance/Business Systems, or Business Intelligence, ideally within high-growth and/or high-M&A environments
• Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, Business, or a related field
• Experience owning end-to-end data architecture including data lake or warehouse infrastructure, ETL/ELT integrations, and BI reporting layers; proficiency in SQL required, Microsoft stack a strong plus
• Experience with financial systems at scale including ERP, EPM, and Business Intelligence platforms; familiarity with OneStream and Business Central a plus
• Deep understanding of data engineering best practices, warehousing/lakehouse architecture, MDM, and metadata governance
• Demonstrated success delivering large-scale system initiatives, preferably within Finance
• Strong project management and cross-functional collaboration skills

Personal Attributes

• Strategic thinker and hands-on builder — equally comfortable driving vision and rolling up your sleeves to execute
• Excellent communicator with the ability to translate complex technical concepts for Finance stakeholders and vice versa
• Highly collaborative with strong cross-functional relationship and project management skills
• Self-motivated and comfortable operating with autonomy in a lean team environment
• Excited about applying emerging AI and automation tools to modernize how Finance operates
• Interested in a long-term career at a company building something to last for decades
• High integrity, low ego — Evergreen hires on potential and trajectory as much as technical credentials

Compensation

A competitive compensation package including a base salary range of $185,000–$210,000, annual performance-based bonus, Profit Interest Units (equity-based comp) and an excellent benefits package is available.

Location

San Francisco, CA preferred. Hybrid or remote candidates with significant relevant experience will be considered.

About the Team

Our engineering team is made up of people from varied industries, including engineers who built and scaled large, well known organizations. We build modern software with modern techniques like TDD, continuous delivery, DevOps, and service-oriented architecture. Cross-functional partnerships are deeply meaningful to us and are how we’ve built up immense trust with the people running the business. We focus on high-value products that solve clearly identified problems and are designed in a sustainable way so that value continues to deliver in the long term. In fact, some of our proudest moments come from solving business problems without writing a line of code. 

About the Role

We are seeking a skilled and visionary Fulfillment Engineering Manager to lead a team of talented engineers in revolutionizing our fulfillment systems. This role involves driving innovation and transformation across core areas, including Order Management (OMS), Inventory Management, Warehouse Management (WMS), and Transportation Management Systems (TMS). In this role, you will oversee the development, support, and optimization of solutions that streamline fulfillment operations, enhance the fulfillment experience, and deliver measurable business impact. This position requires a blend of technical expertise, team leadership, and strategic planning. You will work closely with cross-functional teams, including operations, product, and algorithms, to design and implement scalable systems that meet the demands of a rapidly evolving business landscape.

We are a distributed team that collaborates across 4 time-zones and we love building relationships that enable everyone to learn & ask questions. With a strong focus on growth and personal development, Stitch Fix is the ideal place to develop your skills in an environment that is built on mutual trust and respect.

About the Technology

Technologies we rely on to pursue solutions to business problems include:

• Go-Lang
• Ruby and Ruby on Rails
• Kafka 
• RabbitMQ
• Redis
• Postgres
• We use GitHub, Slack, and video conferencing extensively to collaborate.
• We value pull requests, one-pagers, and screencasts to develop rapid prototypes that demonstrate new features.
• Our workflow depends on testing and Continuous Integration—we rely on automated tests and deployment.
• We have a distributed, service-oriented architecture—we’re using tools like Kafka, RabbitMQ, ElasticSearch, REST services, and GraphQL to scale our team and software.

You're excited about this opportunity because you will…

• You will manage, mentor, and inspire a team of engineers, fostering a culture of collaboration, innovation, and growth by challenging them to do their best work.
• You will define priorities and deliverables for projects that optimize fulfilment systems, ensuring alignment with business goals.
• You will partner with product managers, operations, and algorithms teams to continuously improve fulfillment processes and customer delivery experiences.
• You will ensure system reliability, scalability, and performance, minimizing disruptions to daily operations.
• You will drive initiatives to modernize fulfillment systems, improve workflows, and reduce inefficiencies.
• You will act as a key point of contact for stakeholders, providing updates on team progress, challenges, and milestones.
• You will find, hire, and develop people that compliment each other as a diverse, inclusive team.
• You will facilitate technical design discussions, remove blockers and align stakeholders.
• You will inspire an atmosphere of continuous improvement by serving as a coach, mentor, and technical advisor.

We’re excited about you because…

• You have experience with warehouse management systems, order management systems, transportation management systems, distribution center software, or similar solutions.
• You bring 3+ years of experience building and scaling real-time solutions, including 1-2+ years managing high-performing engineering teams.
• Your experience leading distributed teams across multiple time zones is a strong plus.
• You have a proven track record of delivering impactful, customer-focused solutions aligned with business objectives
• You have extensive hands-on experience with one of the widely used programming languages, such as Golang, Java, or similar.
• You are passionate about mentoring team members and supporting their professional growth.
• You prioritize clear, honest communication and build strong, collaborative teams based on trust and autonomy.
• You excel at setting and communicating clear priorities to your team and cross-functional partners.
• You are flexible, pragmatic, and committed to building high-quality solutions that meet user needs.
• You have experience refining development processes to improve team efficiency and outcomes.

Why you'll love working at Stitch Fix...

• We are a group of bright, kind people who are motivated by challenge. We value integrity, innovation and trust. You’ll bring these characteristics to life in everything you do at Stitch Fix.
• We cultivate a community of diverse perspectives— all voices are heard and valued.
• We are an innovative company and leverage our strengths in fashion and tech to disrupt the future of retail. 
• We win as a team, commit to our work, and celebrate grit together because we value strong relationships.
• We boldly create the future while keeping equity and sustainability at the center of all that we do. 
• We are the owners of our work and are energized by solving problems through a growth mindset lens. We think broadly and creatively through every situation to create meaningful impact.
• We offer comprehensive compensation packages and inclusive health and wellness benefits.

What You’ll Do:

As a Senior Marketing Performance Analyst, you will be the architect of our measurement strategy. You won't just report on what happened; you will define the "why" and "what’s next." You will partner with Growth, Events, and Ops teams to build  and expand a cohesive metrics framework that tracks the buyer’s journey from the first digital touchpoint to a closed-won deal.

Your mission is to ensure every dollar spent on events and digital tactics is measurable, optimized, and aligned with our long-term revenue goals.

About the role:

• Metrics Framework & Taxonomy: Partner with Marketing Operations, Growth, and Demand Gen teams to define KPIs, performance frameworks, reporting hierarchies, and custom attribution models to determine marketing’s impact.
• Goal Setting & Forecasting: Lead the annual and quarterly targets setting process. Use historical conversion data to build "reverse funnel" forecast models that tell us exactly how much traffic and lead volume is required to hit sales targets.
• End-to-End Analysis: Analyze the performance of integrated campaigns, comparing the high-touch ROI of field events against the high-volume efficiency of digital channels (SEM, Paid Social, Content Syndication).
• Insight Synthesis: Move beyond dashboards to deliver executive-level narratives. You will present weekly updates, monthly/quarterly business reviews to Marketing and Sales leadership.
• Data Instrumentation & Orchestration: Partner with Marketing Ops, Revenue Ops, Information Technology, and Data Engineering to ensure instrumentation and capture of data (from Customer Relationship, Marketing Automation, Web, ABM, and other  platforms) flows into trusted data sets in our data warehouse.
• Testing & Optimization: Design A/B testing frameworks to measure impact of digital and event tactics and continuously improve marketing ROI.

• Scale Decision-Making: Drive the adoption of AI-driven, agentic insights across the marketing organization to enable faster, smarter decisions.

Who You Are: 

• 5+ years in B2B marketing analytics, marketing / revenue ops, or consulting / creative agencies that support marketing.
• You understand the nuances of the B2B "buying committee" and the “big deal” sales cycle.
• Communication: Ability to translate "data speak" into "business speak" for non-technical stakeholders.
• Stakeholder Management: You have the proven ability to change minds and influence decision making of key Marketing and Sales leaders.
• Experience with:
• CRM/MAP: Expert-level knowledge of CRM and MAP data structures.
• Visualization: High proficiency in Tableau Desktop.
• Data: Ability to define requirements for integrated data sets from disparate data sources.
• Attribution: Experience defining and utilizing multi-touch attribution tools.

Wondering if you’re a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we’ve found compatible with our team. If some of this describes you, we’d love to talk. 

• You love leading with a strategic mindset.
• You’re curious about utilizing data to provide insights that are measurable, optimized, and aligned with long-term revenue goals. You’re an expert in CRM and MAP data structures

Why CoreWeave?

At CoreWeave, we work hard, have fun, and move fast!  We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: 

• Be Curious at Your Core
• Act Like an Owner
• Empower Employees
• Deliver Best-in-Class Client Experiences
• Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for take off, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!  

The base salary range for this role is $143,000 to $210,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).

About the Role

At Sigma, we’re not just adding AI—we’re building the future of how people work with data. Our platform already lets users explore billions of rows of data in seconds with a spreadsheet-like interface, analyze and present their data in workbooks, and build data apps and workflows. Now we’re pushing further, applying AI to reshape how people build in Sigma, discover insights, and make smarter decisions—fast.

That’s where you come in. As an AI/ML Engineer, you’ll join a growing team focused on building the AI foundation that will power Sigma for the future. Your work will become an integral part of the workflow for the thousands of enterprises that run on Sigma. 

What You’ll Do

• Partner with product, design, and engineering teams to identify high-impact AI/ML opportunities
• Prototype and productionize AI systems that feel intuitive but do a lot under the hood—recommendations, natural language interfaces, agentic workflows, and more
• Develop and scale AI/ML infrastructure that powers both internal tooling and customer-facing features
• Tackle novel UX problems at the intersection of AI, BI, and apps

What You Bring

• Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field (required)
• 10+ years of experience building and deploying production-grade AI/ML systems
• Deep knowledge of machine learning, deep learning, and applied AI
• Experience across the full ML lifecycle: data curation, training, deployment, monitoring
• A track record of building things that ship—whether it’s recommendations, search, machine translation, or something equally complex
• Experience adapting or training foundation models (language or multimodal) for novel domains

Bonus Points (or skills you’ll build here)

• You've built agents that can plan, reason, and use tools
• You know your way around cloud infrastructure (AWS, GCP, Azure)
• You’ve worked in a fast-moving startup or high-growth environment

Additional Job details

The base salary range for this position is $240k - $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.

About the Role

At Sigma, we’re not just adding AI—we’re building the future of how people work with data. Our platform already lets users explore billions of rows of data in seconds with a spreadsheet-like interface, analyze and present their data in workbooks, and build data apps and workflows. Now we’re pushing further, applying AI to reshape how people build in Sigma, discover insights, and make smarter decisions—fast.

That’s where you come in. As an AI/ML Engineer, you’ll join a growing team focused on building the AI foundation that will power Sigma for the future. Your work will become an integral part of the workflow for the thousands of enterprises that run on Sigma. 

What You’ll Do

• Partner with product, design, and engineering teams to identify high-impact AI/ML opportunities
• Prototype and productionize AI systems that feel intuitive but do a lot under the hood—recommendations, natural language interfaces, agentic workflows, and more
• Develop and scale AI/ML infrastructure that powers both internal tooling and customer-facing features
• Tackle novel UX problems at the intersection of AI, BI, and apps

What You Bring

• Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field (required)
• 10+ years of experience building and deploying production-grade AI/ML systems
• Deep knowledge of machine learning, deep learning, and applied AI
• Experience across the full ML lifecycle: data curation, training, deployment, monitoring
• A track record of building things that ship—whether it’s recommendations, search, machine translation, or something equally complex
• Experience adapting or training foundation models (language or multimodal) for novel domains

Bonus Points (or skills you’ll build here)

• You've built agents that can plan, reason, and use tools
• You know your way around cloud infrastructure (AWS, GCP, Azure)
• You’ve worked in a fast-moving startup or high-growth environment

Additional Job details

The base salary range for this position is $240k - $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.

About the Role

At Sigma, we’re not just adding AI—we’re building the future of how people work with data. Our platform already lets users explore billions of rows of data in seconds with a spreadsheet-like interface, analyze and present their data in workbooks, and build data apps and workflows. Now we’re pushing further, applying AI to reshape how people build in Sigma, discover insights, and make smarter decisions—fast.

That’s where you come in. As an AI/ML Engineer, you’ll join a growing team focused on building the AI foundation that will power Sigma for the future. Your work will become an integral part of the workflow for the thousands of enterprises that run on Sigma. 

What You’ll Do

• Partner with product, design, and engineering teams to identify high-impact AI/ML opportunities
• Prototype and productionize AI systems that feel intuitive but do a lot under the hood—recommendations, natural language interfaces, agentic workflows, and more
• Develop and scale AI/ML infrastructure that powers both internal tooling and customer-facing features
• Tackle novel UX problems at the intersection of AI, BI, and apps

What You Bring

• Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field (required)
• 10+ years of experience building and deploying production-grade AI/ML systems
• Deep knowledge of machine learning, deep learning, and applied AI
• Experience across the full ML lifecycle: data curation, training, deployment, monitoring
• A track record of building things that ship—whether it’s recommendations, search, machine translation, or something equally complex
• Experience adapting or training foundation models (language or multimodal) for novel domains

Bonus Points (or skills you’ll build here)

• You've built agents that can plan, reason, and use tools
• You know your way around cloud infrastructure (AWS, GCP, Azure)
• You’ve worked in a fast-moving startup or high-growth environment

Additional Job details

The base salary range for this position is $240k - $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.

We are looking for a Staff Security Software Engineer who is passionate about detecting and mitigating abuse in the Cloud. 

As a Staff Security Software Engineer at DigitalOcean, you will join a dynamic team dedicated to revolutionizing cloud computing and AI. This role reports to the Senior Manager of Security Engineering within the Security organization. You should have experience developing and maintaining software systems in a complex, high-scale environment, analyzing outcomes and communicating insights to stakeholders, and rapidly devising solutions that are in alignment with overall business goals. Our team is focused on enabling DigitalOcean to scale safely by building systems that detect and prevent abuse on our platform. We highly value collaboration and growth, and work closely with other teams in the Security organization to deliver high quality solutions and also build tooling to boost their efficiency.

Our customers trust us with their data and operations, and we take that responsibility seriously. Security at DO means solving highly complex problems on a large scale that have real impact for our customers, our products, and for the larger internet community.

What You’ll Do:

• Design, develop, and deploy resilient services and tooling that provide security capabilities at scale, primarily in Go, with some work in Javascript and Python.
• Research and design automated approaches to detecting and actioning abuse and misuse of DigitalOcean products and services.
• Work with product and engineering teams to design and implement secure architectures.
• Design and build internal tools that enable our Security Operations Center to do more, faster.
• Measure the efficacy of our services and tools, using logs, metrics, and audit records, to drive reporting and decision-making, leading to iterative and transformative security improvements as DigitalOcean scales. All while being mindful that security should be an efficiency enabler for the business, not an obstacle.

What You’ll Add to DigitalOcean:

• 8+ years of hands-on experience in software engineering projects, ideally with a security focus, in a complex, high-scale SaaS or IaaS environment. You are an expert in writing robust code with good test coverage and demonstrated success in delivering projects.
• Understanding of cloud-native services and infrastructure provisioning (e.g. compute, storage, networking).
• Deep familiarity with cloud services & infrastructure—compute, storage, network, managed services—and related abuse tactics, including DDoS, spamming, phishing, cryptomining, and bot networks.
• Strong analytical and reporting skills, with proficiency in SQL and data warehouse querying (e.g., Snowflake, Redshift, BigQuery)
• A customer-first mindset—you aim to maximize abuse prevention while avoiding false-positives that could impact high-value customers.
• Excellent communication and documentation skills; you can clearly articulate patterns, mitigation strategies, and tradeoffs to both technical and non-technical stakeholders. You have a record of partnering with internal engineering teams and non-technical stakeholders to gather requirements and tackle security problems across an entire stack with empathy and creativity.
• High integrity, strong judgment, and a track record of working independently on high-impact investigations and policy decisions.

Bonus qualifications:

• Experience with microservice architectures, asynchronous and event-driven processing, and synchronous gRPC/HTTP-based requests.
• Experience in building secure by default services and applications.
• Familiarity with technologies such as gRPC, Docker, Elasticsearch, Prometheus/VictoriaMetrics, Kubernetes, and GitHub Actions.
• Experience with Looker, Snowflake, dbt, and Airflow

Compensation Range: 

• $199,680 - $249,600

*This is a remote role

#LI-Remote

Who We Are:

Calico (Calico Life Sciences LLC) is an Alphabet-founded research and development company whose mission is to harness advanced technologies and model systems to increase our understanding of the biology that controls human aging. Calico will use that knowledge to devise interventions that enable people to lead longer and healthier lives. Calico’s highly innovative technology labs, its commitment to curiosity-driven discovery science, and, with academic and industry partners, its vibrant drug-development pipeline, together create an inspiring and exciting place to catalyze and enable medical breakthroughs.

Position Description:

Calico is seeking a Senior Data Engineer to join our highly collaborative Engineering team as the founding member of the Drug Discovery Data Engineering group. To succeed, you will need to be an enthusiastic team player, detail-oriented, extremely organized, and comfortable working on complex data, software, and scientific problems.

In this position, you will act as a technical bridge between our Medicinal Chemistry, Automation, Machine Learning, Assay Technology, and Protein Sciences groups. You will drive projects from requirements-gathering to production deployment, engineering high-performance data systems that integrate with our molecular databases (CDD Vault), inventory systems (Mosaic), electronic lab notebooks (Benchling), our internal data warehouse (BigQuery), and our internally developed AI platform. As the first hire on this team, you will play a pivotal role in defining data flows, building web applications for stakeholder review, and establishing the engineering culture for this important growth area.

Position Responsibilities:

• End-to-End Project Ownership: Collaborating with scientists in Assay Technology, Medicinal Chemistry, and Protein Sciences to gather requirements, architect solutions, and deploy production-grade software that facilitates data movement and analysis
• System Integration: Designing and implementing robust integrations between internal pipelines and third-party platforms, specifically the CDD molecular database, Mosaic inventory systems, and Benchling ELN
• Data Flow Architecture: Defining and optimizing data flows across the organization (e.g., ensuring seamless data handover from Machine Learning -> Protein Sciences -> Assay Technologies) to accelerate the drug discovery feedback loop
• Full-Stack Tool Development: Developing data systems and internal web applications (using React and Python) that allow stakeholders to review, visualize, and communicate complex scientific data
• Mentorship & Leadership: Serving as a senior technical voice within a larger Engineering team; providing mentorship to junior engineers across Calico and helping onboard future hires into the Drug Discovery Data Engineering team
• Engineering Excellence: Championing best practices for infrastructure-as-code, CI/CD, and containerization while helping to set standards for data engineering at Calico

Position Requirements:

• BS/MS/PhD in Computer Science, Data Science, or a related technical field, or equivalent practical experience
• 5+ years of professional software or data engineering experience on the small molecule and antibody informatics side of pharmaceutical R&D
• Proficiency in applying laboratory informatics systems such as CDD Vault, Titian Mosaic, and Benchling to the drug discovery process
• Fluency in Python with a strong grasp of software and data engineering principles (testing, modularity, design patterns, data modeling)
• Demonstrated experience developing and deploying cloud-based applications on Google Cloud Platform (GCP) (preferred), AWS, or Azure
• Strong experience with modern web frameworks and infrastructure, specifically FastAPI, React, Kubernetes, and Terraform
• Proven ability to lead complex projects involving diverse stakeholders (e.g. both bench scientists and Machine Learning engineers) from concept to production
• Experience enforcing robust data governance policies and compliance with internal information security standards and best practices
• Must be willing to work onsite at least four days per week

Nice to Have:

• Experience working with large-scale biological or chemical datasets, including chemical and biological ontologies
• Prior experience managing external partnerships and vendors in the informatics space
• Experience with system administration of informatics platforms, including setting information security standards and negotiation of software contracts

The estimated base salary range for this role is $217,000 - $229,000. Actual pay will be based on a number of factors including experience and qualifications. This position is also eligible for two annual cash bonuses.

Senior Manager, Data Science

Portfolio Management and Loss Mitigation

The Role: 

SoFi is seeking an inspirational and deeply experienced Senior Manager to lead the Portfolio Management and Loss Mitigation function in our Risk Data Science team. Reporting to the Head of Risk Data Science, this role will lead the development, deployment, and governance of portfolio management and loss mitigation models for all credit products.

The ideal candidate is a hands-on leader who can transition the team from traditional modeling to next-generation machine learning platforms, leveraging emerging data sources (e.g., cash flow, alternative bureaus) to significantly improve portfolio performance, reduce losses, and ensure rigorous adherence to Model Risk Management (MRM) standards. This role requires exceptional organizational leadership, an ability to influence stakeholders, and proven success in delivering complex models into a regulated production environment.

What You'll Do: 

• Portfolio Management and Loss Mitigation Excellence: Directly oversee the development and deployment of Next Generation models designed to manage and mitigate portfolio losses while maintaining loss guardrails.
• Drive Next-Generation Capabilities: Incorporate industry trends and advanced techniques (NLP, Graph Mining, LLMs, Deep Learning) to solve complex, high-impact risk problems where established principles may not fully apply.
• Alternative Data Strategy: Spearhead the evaluation and integration of alternative data sources (Macro-Economic variables, tri-bureau, LexisNexis, cash flow data) to enhance predictive power across all credit products.
• Lead the current team of high-performing Staff and Senior Data Scientists. Recruit, mentor, and foster talent through deliberate interactions, succession planning, and creating a high-accountability, low-ego culture.
• Model Risk Management (MRM): Act as the primary owner for all models in the portfolio, ensuring robust documentation, monitoring, and successfully navigating the 2nd Line of Defense (2LOD) review and approval process (SR 11-7 familiarity is mandatory).
• Stakeholder Alignment: Interact and negotiate with senior management and external stakeholders to reconcile competing views and drive critical, high-impact business decisions.
• Automation and Efficiency: Lead efforts to automate model monitoring and governance processes to create scalable and auditable infrastructure.

What You'll Need:

• Experience: 8+ years of progressive experience in credit risk, modeling, and data science within a regulated financial institution (FinTech, Bank, or similar), with at least 3 years in a people management role, managing technical staff.
• Education: Master’s or Ph.D. degree in a quantitative field (Statistics, Computer Science, Engineering, Operations Research, etc.).
• Technical Acumen: Deep expertise in advanced statistical and machine learning modeling techniques (e.g., Gradient Boosting, Deep Learning, Causal Inference).
• Regulatory Knowledge: Detailed working knowledge of model risk management standards (e.g., SR 11-7) and the ability to operate within a highly regulated environment.
• Tools & Platforms: Expert-level proficiency in Python (PySpark, scikit-learn, TensorFlow/PyTorch) and SQL/data warehouse technologies (e.g., Snowflake, Hive). Familiarity with modern MLOps platforms and cloud computing (AWS).
• 3+ years of progressive people management experience is required, including the ability to recruit, mentor, and foster talent within a team of high-performing Staff and Senior Data Scientists.
• Communication: Ability to distill highly complex analytical concepts into clear, concise, and compelling narratives for non-technical leadership.

About the UX research team

UX research at Anthropic is a small team with outsized leverage. We work across products used by millions of people—and on interactions that don't have established conventions yet.

We inform critical decisions through rigorous research, with stakeholders who eagerly incorporate findings into their work. Research has a seat at the table for product strategy, and we partner closely with design, product, and engineering. We combine qualitative and quantitative methods to understand user needs in a space that's evolving faster than anyone can track.

We move fast, favor impact over polish, and increasingly build our own tools—often with AI doing the heavy lifting—to do research at the speed this environment demands.

About this role

This is a senior individual-contributor role. You'll own research for a complex, fast-moving product area where the surface is expanding quickly and the most important user questions haven't been articulated yet, let alone answered.

You won't work from a fixed research roadmap. You'll prioritize constantly—making clear, well-informed bets about what to learn next, executing on them fast, and pivoting the moment the picture changes. Our product teams are deeply technical and move on instinct; your job is to make that instinct better-calibrated without slowing it down.

Roles here are fluid. On any given week you might be the researcher, the analyst, the one framing the next product bet, or the one building a prototype because that's the fastest way to find out.

Where this role lands depends on team needs and your strengths—we'll figure that out together.

Responsibilities

• Set the research agenda for a product area where the strategic questions are still fuzzy. Define what we need to learn, in what order, and why—then go learn it. Don't wait to be asked
• Design and run mixed-methods research at whatever fidelity the moment calls for. Some of it will be careful, foundational work the team references for a year. Some of it will be a finding you ship the same day the question came up
• Keep product teams close to users in a rigorous way—building the channels, cadence, and evidence base that make user reality hard to ignore
• Get hands-on with product data. Pull your own samples, build your own dashboards, instrument what's missing
• Prototype when prototyping is the fastest path to an answer—a research tool, a survey pipeline, a scrappy version of a feature to put in front of users
• Deeply leverage AI in how you work—using Claude to make yourself dramatically more efficient at analysis, synthesis, tooling, and everything in between
• Use what you study. Dogfood our products hard enough to develop your own informed opinions, and bring that texture into your research
• Anticipate where the product is heading before anyone asks. Show up with the user understanding the team is about to need
• Turn what you learn into recommendations confident enough to redirect a roadmap—including recommending we kill something that isn't working
• Build durable understanding, not just findings. The goal is that PMs, designers, and engineers internalize the user mental model well enough to make good calls when you're not in the room
• Develop new research methods when the existing playbook doesn't fit—particularly methods that use AI to do things that weren't possible before

Qualifications

• Industry UX research experience, including ownership of research strategy for a product or product area
• Track record of research that shifted product direction at the strategy level, not just the feature level
• Deep mixed-methods expertise—qualitative and quantitative
• Enough data fluency to use Claude to work directly with our data warehouse—pulling your own samples, writing your own queries, running your own analyses
• Demonstrated technical range: you've built research tooling, prototyped, scripted analyses, or otherwise shown you can keep up with very technical teams without translation overhead
• Advanced, hands-on use of AI in your own research workflow—you're already taking full advantage of its capabilities to enhance how you work
• Experience embedding with engineering-led product teams that ship fast, and earning influence in that environment
• Excellent storytelling, calibrated to audience. You can discuss a finding with an exec as effectively as with an engineer

Your Impact

Axon Enterprise (Nasdaq: AXON) is seeking a Data Science Principal within the Office of the Chief Accounting Officer (CAO). This is a hands-on enabler role for a technically exceptional professional with deep finance and accounting domain expertise. Your primary mission is to ensure that Axon’s AI builders, process owners, decision-makers, and auditors can operate with clean, trusted, well-governed, and audit-ready data. You will spend roughly half your time building data analytics tools and pipelines—leveraging AI as a development accelerator—to support complex, large-scale projects including mergers and acquisitions (M&A) integration, enterprise resource planning (ERP) system deployments, upstream data remediation, and SOX compliance initiatives.

The other half is strategic: partnering across Controllership, Finance Operations, Financial Planning and Analysis (FP&A), Internal Audit, and Technology to establish the data foundation that makes AI, automation, and audit readiness possible. You will use AI-assisted development tools (code generation, copilots, large language models) as part of your everyday build process.

What You’ll Do

Hands-On Building & Upstream Data Cleanliness (~50%)

• Design and develop data analytics tools, automated validation frameworks, and dashboards that give Finance Operations and Controllership real-time visibility into data health across enterprise systems. Use AI to rapidly prototype, test, and deploy these solutions.

• Drive upstream data hygiene cross-functionally: partner with source-system owners in Revenue Operations, Procurement, Human Resources, and Engineering to fix data issues where they originate, not after they propagate.

• Own data dictionaries, lineage documentation, and quality scorecards for critical controllership data assets. Establish and enforce master data management (MDM) standards.

• Partner with the Chief Information Officer (CIO) and Information Technology (IT) on integration strategy, ensuring seamless data flows between ERP, sub-ledgers, and the enterprise data platform. Support Snowflake data warehouse deployment.

Mergers & Acquisitions Data Integration

• Lead data workstreams for M&A transactions end-to-end: perform data due diligence on target companies, assess data quality risks, and build integration playbooks for onboarding acquired-company data into Axon’s enterprise platform.

• Design and execute data mapping, cleansing, and migration plans for post-acquisition integration—ensuring acquired entities are reporting on clean, consolidated data within defined timelines.

• For interim stage prior to M&A integration, build, own, and operate extract-transform-load (ETL) and extract-load-transform (ELT) pipelines that remediate data quality issues at the source—before data reaches downstream AI models, reporting, or analytics. Leverage AI-assisted development tools (copilots, code generation, large language models) to accelerate pipeline development and iteration.

• Build repeatable M&A controllership data integration frameworks—using AI to automate data profiling, matching, and anomaly detection—that scale as Axon’s acquisition pace accelerates.

Financial Controls, SOX & Audit Readiness

• Co-design data pipelines and analytics with auditability built in—traceable lineage, complete audit trails, and evidence that holds up under external audit.

• Build or collaborate with process owners to build close-support tools (GL-to-sub-ledger, intercompany, journal entries) that reduce manual effort and strengthen control evidence.

Enabling AI Builders & Process Owners

• Serve as the data enablement partner to Axon’s Controllership AI team and Controllership process owners—ensuring they have access to clean, well-structured, governed datasets for machine learning (ML), automation, and large language model (LLM) initiatives.

• Collaborate with AI builders to define data requirements, validate input data quality, and create feedback loops that continuously improve data upstream of AI/ML workflows.

• Create self-service analytics capabilities that enable FP&A, Tax, Treasury, and Controllership teams to access trustworthy data without bottlenecks.

Partnership & Cross-Functional Leadership

• Serve as a trusted partner to the CIO, shaping technology roadmaps, enterprise architecture, and system integration decisions. Act as a strong ally to Controllership and Finance Operations.

• Engage stakeholders across FP&A, Tax, Treasury, Engineering, Product, Revenue Operations, and Legal to manage cross-functional data projects end-to-end. Influence without authority across global, distributed teams.

What You Bring

• Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, Economics, Finance, or a related field with 8+ years in data science, data engineering, or analytics.

• Hands-on builder: strong, current proficiency with Structured Query Language (SQL) and Python—you write code, build pipelines, and ship tools, not just direct others. Comfortable using AI-assisted development tools to multiply your output.

• Deep experience with upstream data quality remediation, master data management, and data governance operationalization in a finance or accounting environment.

• Demonstrated M&A data integration experience: due diligence, data mapping, migration, and post-acquisition consolidation.

• Ability to build senior-level relationships, lead cross-functional projects end-to-end, and influence without direct authority across global teams.

• Working knowledge of US GAAP accounting processes (R2R, O2C, P2P, revenue recognition) or FP&A processes (budgeting, forecasting, variance analysis)—you understand the business logic, not just the data.

• Practical familiarity with SOX compliance and IT General Controls (ITGCs) sufficient to design audit-ready data pipelines, maintain traceable audit trails, and support internal audit teams and external auditors with data extracts, population listings, and control evidence—without needing to own the SOX program or control design.

Preferred Qualifications:

• Snowflake or comparable cloud data warehouse experience. Business intelligence (BI) platforms such as Sigma.

• High-growth, publicly traded technology company or digital transformation environment.

• Experience enabling AI/ML teams with clean data pipelines. Demonstrated use of AI code-generation in day-to-day development. Supervisory experience leading data teams.

• M&A integration at a company with an active acquisition strategy. Public safety, defense, or regulated industry background.

• Experience with audit management or financial close platforms/ERP and their data integration requirements; familiarity with how these tools consume and produce audit evidence.

Benefits that Benefit You

• Competitive salary and 401k with employer match
• Discretionary paid time off
• Paid parental leave for all
• Medical, Dental, Vision plans
• Fitness Programs
• Emotional & Mental Wellness support
• Learning & Development programs
• Employee Resource Groups (ERGs)
• And yes, we have snacks in our offices

Benefits listed herein may vary depending on the nature of your employment and the location where you work.

MaintainX is the world's leading AI-powered maintenance and asset management platform, serving 13,000+ customers including Duracell, Shell, Cintas, and Brenntag. We raised $150M in Series D funding led by Bessemer Venture Partners and Bain Capital Ventures, bringing our total funding to $254M. We were named to the Forbes 2025 Cloud 100, the definitive ranking of the top 100 private cloud companies in the world.

The Senior Solutions Consultant will provide high-quality demonstrations of the product to prospective customers by working with sales staff and clients to understand the customer’s business and workflows. They will also be responsible for maintaining content used by both sales staff and clients. The Solutions Consultant will mentor sales staff on product knowledge and be the go-to resource for all technical requests during the pre-sales phase. They will also work with the sales staff to collect customer feedback.

What you’ll do:

• Provide the necessary tools and processes to accelerate deals, execute contracts, and improve sales team efficacy.
• Connect with a variety of customers to help drive sales across all verticals including manufacturing, facilities management, government, and other maintenance and operational businesses.
• Team with sales to present MaintainX to prospective clients, using examples appropriate to their business and communication needs.
• Import real customer data into trial accounts so the customer can interact with their own assets and engage with the platform in the most compelling way.
• Be the go-to product expert who can accurately respond to technical product questions from across the sales teams.
• Stay informed on product updates (3x/week on average) and incorporate the latest functionality into demos, as needed.
• Build trust with customer stakeholders based on product and functional expertise.
• Learn to anticipate customer needs. Utilize your intuitive consulting and selling skills to engage with customer pain points and present possible Sales with MaintainX.
• Collaborate with a Sales Architect to develop customer-specific integrations, between MaintainX and 3rd party software, as needed.
• As a member of a cross-departmental sales team, work with marketing, product management, engineering, implementation, and customer support to find solutions for prospective customers.
• Develop and launch new sales assets and collateral.
• Keep existing sales assets and collateral up-to-date.
• Mentor sales staff by reinforcing product knowledge and messaging/positioning from our product marketing managers, during collaborations.
• Collect marketing and product feedback from day-to-day customer interactions, and provide feedback to the product marketing team.

About you:

• 3+ years of related experience, such as technical sales, implementation, solutions building, or sales/solutions engineering.
• Background in manufacturing, industrial operations, or warehouse environments, preferably with direct exposure to operational workflows.
• Comfortable multi-tasking and keeping the energy high.
• Outstanding verbal and written communication ability.
• Interpersonal and listening skills.
• Insanely detail-oriented and organized.
• Effective problem-solving capabilities.
• Ability to adjust communication style based on customers’ personalities and based on stakeholders’ objectives.
• Ability to present effectively and command attention with a variety of stakeholder perspectives.
• Personality traits: empathic, positive, passionate, creative, smart, high integrity, startup mentality.
• BA degree or higher.

Bonus if you have:

• Prior consulting and/or sales experience.
• Experience with modern sales tech stacks: Salesforce, Salesloft, DiscoverOrg, etc.
• Experience with startups and entrepreneurial organizations.
• Experience working with CMMS/EAM, ERP or facility operations software.
• Experience working in a manufacturing facility.
• Ability to perform in a remote work setting.

What’s in it for you:

• Competitive salary and meaningful equity opportunities.
• Healthcare, dental, and vision coverage.
• 401(k) / RRSP enrollment program.
• Take what you need PTO.
• A Work Culture where:
• You’ll work alongside folks across the globe that reflect the MaintainX values, Smart Humble Optimist.
• We believe in meritocracy, where ideas and effort are publicly celebrated.

About us:

Our mission is to deliver one platform for maintenance, repair & operations teams to keep the physical world running. We believe the greatest asset in any organization is the people. That’s why we built an intuitive, mobile-first solution to help boost productivity and collaboration across teams and locations.

MaintainX is committed to creating a diverse environment. All qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

MaintainX is the world's leading AI-powered maintenance and asset management platform, serving 13,000+ customers including Duracell, Shell, Cintas, and Brenntag. We raised $150M in Series D funding led by Bessemer Venture Partners and Bain Capital Ventures, bringing our total funding to $254M. We were named to the Forbes 2025 Cloud 100, the definitive ranking of the top 100 private cloud companies in the world.

The Senior Solutions Consultant will provide high-quality demonstrations of the product to prospective customers by working with sales staff and clients to understand the customer’s business and workflows. They will also be responsible for maintaining content used by both sales staff and clients. The Solutions Consultant will mentor sales staff on product knowledge and be the go-to resource for all technical requests during the pre-sales phase. They will also work with the sales staff to collect customer feedback.

What you’ll do:

• Provide the necessary tools and processes to accelerate deals, execute contracts, and improve sales team efficacy.
• Connect with a variety of customers to help drive sales across all verticals including manufacturing, facilities management, government, and other maintenance and operational businesses.
• Team with sales to present MaintainX to prospective clients, using examples appropriate to their business and communication needs.
• Import real customer data into trial accounts so the customer can interact with their own assets and engage with the platform in the most compelling way.
• Be the go-to product expert who can accurately respond to technical product questions from across the sales teams.
• Stay informed on product updates (3x/week on average) and incorporate the latest functionality into demos, as needed.
• Build trust with customer stakeholders based on product and functional expertise.
• Learn to anticipate customer needs. Utilize your intuitive consulting and selling skills to engage with customer pain points and present possible Sales with MaintainX.
• Collaborate with a Sales Architect to develop customer-specific integrations, between MaintainX and 3rd party software, as needed.
• As a member of a cross-departmental sales team, work with marketing, product management, engineering, implementation, and customer support to find solutions for prospective customers.
• Develop and launch new sales assets and collateral.
• Keep existing sales assets and collateral up-to-date.
• Mentor sales staff by reinforcing product knowledge and messaging/positioning from our product marketing managers, during collaborations.
• Collect marketing and product feedback from day-to-day customer interactions, and provide feedback to the product marketing team.

About you:

• 3+ years of related experience, such as technical sales, implementation, solutions building, or sales/solutions engineering.
• Background in manufacturing, industrial operations, or warehouse environments, preferably with direct exposure to operational workflows.
• Comfortable multi-tasking and keeping the energy high.
• Outstanding verbal and written communication ability.
• Interpersonal and listening skills.
• Insanely detail-oriented and organized.
• Effective problem-solving capabilities.
• Ability to adjust communication style based on customers’ personalities and based on stakeholders’ objectives.
• Ability to present effectively and command attention with a variety of stakeholder perspectives.
• Personality traits: empathic, positive, passionate, creative, smart, high integrity, startup mentality.
• BA degree or higher.

Bonus if you have:

• Prior consulting and/or sales experience.
• Experience with modern sales tech stacks: Salesforce, Salesloft, DiscoverOrg, etc.
• Experience with startups and entrepreneurial organizations.
• Experience working with CMMS/EAM, ERP or facility operations software.
• Experience working in a manufacturing facility.
• Ability to perform in a remote work setting.

What’s in it for you:

• Competitive salary and meaningful equity opportunities.
• Healthcare, dental, and vision coverage.
• 401(k) / RRSP enrollment program.
• Take what you need PTO.
• A Work Culture where:
• You’ll work alongside folks across the globe that reflect the MaintainX values, Smart Humble Optimist.
• We believe in meritocracy, where ideas and effort are publicly celebrated.

About us:

Our mission is to deliver one platform for maintenance, repair & operations teams to keep the physical world running. We believe the greatest asset in any organization is the people. That’s why we built an intuitive, mobile-first solution to help boost productivity and collaboration across teams and locations.

MaintainX is committed to creating a diverse environment. All qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

What The Role Is

We are seeking a talented Senior Data Engineer to design, build, and maintain our data infrastructure supporting mission-critical energy operations. You'll work at the intersection of renewable energy and data, developing pipelines that process everything from real-time asset performance data to complex trading and risk analytics. This hybrid role offers the opportunity to make a direct impact on clean energy operations while working with a cutting-edge data stack including Snowflake, Dagster, dbt, Modal, and GitLab.

What You'll Be Doing

Analytics Infrastructure & Data Warehouse Management

• Design, deploy, and maintain scalable data infrastructure to support enterprise analytics and reporting needs
• Manage Snowflake instances, including performance tuning, security configuration, and capacity planning for growing data volumes
• Optimize query performance and resource utilization to control costs and improve processing speed

Data Pipeline Development & Orchestration

• Build and orchestrate complex ETL/ELT workflows using Dagster to ensure reliable, automated data processing for asset management and energy trading
• Develop robust data pipelines that handle high-volume, time-sensitive energy market data and asset generation and performance metrics
• Implement workflow automation and dependency management for critical business operations

Data Transformation & Analytics Support

• Develop and maintain dbt models to transform raw data into business-ready analytical datasets and dimensional models
• Create efficient SQL-based transformations for complex energy market calculations and asset performance metrics
• Support advanced analytics initiatives through proper data preparation and feature engineering

Data Quality & Governance

• Implement comprehensive data validation, testing, and monitoring frameworks to ensure accuracy and consistency across all energy and financial data assets
• Establish data lineage tracking and privacy controls to meet regulatory compliance requirements in the energy sector
• Develop alerting and monitoring systems for data pipelines, including error handling, SLA monitoring, and incident response

CI/CD & DevOps

• Lead continuous integration and deployment initiatives for Dagster and dbt pipelines, and Streamlit/Gradio application deployments to Linux servers
• Implement automated testing and deployment automation for data pipelines and analytics applications
• Manage version control and infrastructure as code practices

Cross-functional Collaboration

• Partner with Analytics Engineers, Data Scientists, and business stakeholders to understand requirements and deliver solutions
• Work closely with asset management and trading groups to ensure real-time data availability for market operations and risk calculations
• Collaborate with credit risk teams to develop data models supporting financial analysis and regulatory reporting
• Translate business requirements into technical solutions and communicate data insights to stakeholders

Documentation & Security

• Create and maintain technical documentation, data dictionaries, and onboarding materials for data assets
• Implement role-based access controls, data encryption, and security best practices across the data stack
• Monitor and optimize cloud infrastructure costs, implement resource allocation strategies, and provide cost forecasting

What You'll Bring

• Experience: 4+ years of hands-on data engineering experience in production environments
• Education: Bachelor's degree in Computer Science, Engineering, or a related field
• Data Orchestration: Proficiency in Dagster for pipeline scheduling, dependency management, and workflow automation; Airflow experience a plus
• Cloud Data Warehousing: Advanced-level Snowflake administration, including virtual warehouses, clustering, security, and cost optimization
• Data Transformation: Proficiency in dbt for data modeling, testing, documentation, and version control of analytical transformations
• Programming: Strong Python and SQL skills for data processing and automation
• CI/CD: 3+ years of experience with continuous integration and continuous deployment practices and tools; proficiency in GitLab CI/CD required (GitHub Actions experience a plus)
• Database Technologies: Advanced SQL skills, database design principles, and experience with multiple database platforms
• Cloud Platforms: Proficiency in AWS/Azure/GCP data services, storage solutions (S3, Azure Blob, GCS), and infrastructure as code
• Data Integration: Experience with APIs, various data connectors, and formats
• Data Security: Understanding of data security best practices, access controls, encryption, and role-based access management
• AI & LLM Proficiency: Practical experience integrating and leveraging large language models (e.g., OpenAI, Anthropic, or open-source models) within data workflows; ability to apply LLMs efficiently and securely, with awareness of data privacy boundaries, prompt injection risks, and responsible AI usage in production environments
• Problem-Solving: Strong analytical and troubleshooting skills with attention to detail
• Communication: Ability to work effectively with both technical and business stakeholders
• Work Style: Comfortable with a hybrid work environment (2-3 days in office); highly autonomous and self-directed with a strong work ethic and growth mindset; exceptional attention to detail; able to take ownership of projects end-to-end with minimal oversight

What Would Be Nice

• Experience in the energy, utilities, or financial services industries
• Knowledge of energy trading concepts, market data, or asset management
• Familiarity with data governance frameworks and regulatory compliance (SOX, GDPR, CCPA)
• Experience with infrastructure as code (Terraform, CloudFormation)

Clearway will not sponsor non-immigrant visas for this position (H-1B, TN, E-3, etc.).

#LI-Hybrid

What The Role Is

We are seeking a talented Senior Data Engineer to design, build, and maintain our data infrastructure supporting mission-critical energy operations. You'll work at the intersection of renewable energy and data, developing pipelines that process everything from real-time asset performance data to complex trading and risk analytics. This hybrid role offers the opportunity to make a direct impact on clean energy operations while working with a cutting-edge data stack including Snowflake, Dagster, dbt, Modal, and GitLab.

What You'll Be Doing

Analytics Infrastructure & Data Warehouse Management

• Design, deploy, and maintain scalable data infrastructure to support enterprise analytics and reporting needs
• Manage Snowflake instances, including performance tuning, security configuration, and capacity planning for growing data volumes
• Optimize query performance and resource utilization to control costs and improve processing speed

Data Pipeline Development & Orchestration

• Build and orchestrate complex ETL/ELT workflows using Dagster to ensure reliable, automated data processing for asset management and energy trading
• Develop robust data pipelines that handle high-volume, time-sensitive energy market data and asset generation and performance metrics
• Implement workflow automation and dependency management for critical business operations

Data Transformation & Analytics Support

• Develop and maintain dbt models to transform raw data into business-ready analytical datasets and dimensional models
• Create efficient SQL-based transformations for complex energy market calculations and asset performance metrics
• Support advanced analytics initiatives through proper data preparation and feature engineering

Data Quality & Governance

• Implement comprehensive data validation, testing, and monitoring frameworks to ensure accuracy and consistency across all energy and financial data assets
• Establish data lineage tracking and privacy controls to meet regulatory compliance requirements in the energy sector
• Develop alerting and monitoring systems for data pipelines, including error handling, SLA monitoring, and incident response

CI/CD & DevOps

• Lead continuous integration and deployment initiatives for Dagster and dbt pipelines, and Streamlit/Gradio application deployments to Linux servers
• Implement automated testing and deployment automation for data pipelines and analytics applications
• Manage version control and infrastructure as code practices

Cross-functional Collaboration

• Partner with Analytics Engineers, Data Scientists, and business stakeholders to understand requirements and deliver solutions
• Work closely with asset management and trading groups to ensure real-time data availability for market operations and risk calculations
• Collaborate with credit risk teams to develop data models supporting financial analysis and regulatory reporting
• Translate business requirements into technical solutions and communicate data insights to stakeholders

Documentation & Security

• Create and maintain technical documentation, data dictionaries, and onboarding materials for data assets
• Implement role-based access controls, data encryption, and security best practices across the data stack
• Monitor and optimize cloud infrastructure costs, implement resource allocation strategies, and provide cost forecasting

What You'll Bring

• Experience: 4+ years of hands-on data engineering experience in production environments
• Education: Bachelor's degree in Computer Science, Engineering, or a related field
• Data Orchestration: Proficiency in Dagster for pipeline scheduling, dependency management, and workflow automation; Airflow experience a plus
• Cloud Data Warehousing: Advanced-level Snowflake administration, including virtual warehouses, clustering, security, and cost optimization
• Data Transformation: Proficiency in dbt for data modeling, testing, documentation, and version control of analytical transformations
• Programming: Strong Python and SQL skills for data processing and automation
• CI/CD: 3+ years of experience with continuous integration and continuous deployment practices and tools; proficiency in GitLab CI/CD required (GitHub Actions experience a plus)
• Database Technologies: Advanced SQL skills, database design principles, and experience with multiple database platforms
• Cloud Platforms: Proficiency in AWS/Azure/GCP data services, storage solutions (S3, Azure Blob, GCS), and infrastructure as code
• Data Integration: Experience with APIs, various data connectors, and formats
• Data Security: Understanding of data security best practices, access controls, encryption, and role-based access management
• AI & LLM Proficiency: Practical experience integrating and leveraging large language models (e.g., OpenAI, Anthropic, or open-source models) within data workflows; ability to apply LLMs efficiently and securely, with awareness of data privacy boundaries, prompt injection risks, and responsible AI usage in production environments
• Problem-Solving: Strong analytical and troubleshooting skills with attention to detail
• Communication: Ability to work effectively with both technical and business stakeholders
• Work Style: Comfortable with a hybrid work environment (2-3 days in office); highly autonomous and self-directed with a strong work ethic and growth mindset; exceptional attention to detail; able to take ownership of projects end-to-end with minimal oversight

What Would Be Nice

• Experience in the energy, utilities, or financial services industries
• Knowledge of energy trading concepts, market data, or asset management
• Familiarity with data governance frameworks and regulatory compliance (SOX, GDPR, CCPA)
• Experience with infrastructure as code (Terraform, CloudFormation)

Clearway will not sponsor non-immigrant visas for this position (H-1B, TN, E-3, etc.).

#LI-Hybrid

What The Role Is

We are seeking a talented Senior Data Engineer to design, build, and maintain our data infrastructure supporting mission-critical energy operations. You'll work at the intersection of renewable energy and data, developing pipelines that process everything from real-time asset performance data to complex trading and risk analytics. This hybrid role offers the opportunity to make a direct impact on clean energy operations while working with a cutting-edge data stack including Snowflake, Dagster, dbt, Modal, and GitLab.

What You'll Be Doing

Analytics Infrastructure & Data Warehouse Management

• Design, deploy, and maintain scalable data infrastructure to support enterprise analytics and reporting needs
• Manage Snowflake instances, including performance tuning, security configuration, and capacity planning for growing data volumes
• Optimize query performance and resource utilization to control costs and improve processing speed

Data Pipeline Development & Orchestration

• Build and orchestrate complex ETL/ELT workflows using Dagster to ensure reliable, automated data processing for asset management and energy trading
• Develop robust data pipelines that handle high-volume, time-sensitive energy market data and asset generation and performance metrics
• Implement workflow automation and dependency management for critical business operations

Data Transformation & Analytics Support

• Develop and maintain dbt models to transform raw data into business-ready analytical datasets and dimensional models
• Create efficient SQL-based transformations for complex energy market calculations and asset performance metrics
• Support advanced analytics initiatives through proper data preparation and feature engineering

Data Quality & Governance

• Implement comprehensive data validation, testing, and monitoring frameworks to ensure accuracy and consistency across all energy and financial data assets
• Establish data lineage tracking and privacy controls to meet regulatory compliance requirements in the energy sector
• Develop alerting and monitoring systems for data pipelines, including error handling, SLA monitoring, and incident response

CI/CD & DevOps

• Lead continuous integration and deployment initiatives for Dagster and dbt pipelines, and Streamlit/Gradio application deployments to Linux servers
• Implement automated testing and deployment automation for data pipelines and analytics applications
• Manage version control and infrastructure as code practices

Cross-functional Collaboration

• Partner with Analytics Engineers, Data Scientists, and business stakeholders to understand requirements and deliver solutions
• Work closely with asset management and trading groups to ensure real-time data availability for market operations and risk calculations
• Collaborate with credit risk teams to develop data models supporting financial analysis and regulatory reporting
• Translate business requirements into technical solutions and communicate data insights to stakeholders

Documentation & Security

• Create and maintain technical documentation, data dictionaries, and onboarding materials for data assets
• Implement role-based access controls, data encryption, and security best practices across the data stack
• Monitor and optimize cloud infrastructure costs, implement resource allocation strategies, and provide cost forecasting

What You'll Bring

• Experience: 4+ years of hands-on data engineering experience in production environments
• Education: Bachelor's degree in Computer Science, Engineering, or a related field
• Data Orchestration: Proficiency in Dagster for pipeline scheduling, dependency management, and workflow automation; Airflow experience a plus
• Cloud Data Warehousing: Advanced-level Snowflake administration, including virtual warehouses, clustering, security, and cost optimization
• Data Transformation: Proficiency in dbt for data modeling, testing, documentation, and version control of analytical transformations
• Programming: Strong Python and SQL skills for data processing and automation
• CI/CD: 3+ years of experience with continuous integration and continuous deployment practices and tools; proficiency in GitLab CI/CD required (GitHub Actions experience a plus)
• Database Technologies: Advanced SQL skills, database design principles, and experience with multiple database platforms
• Cloud Platforms: Proficiency in AWS/Azure/GCP data services, storage solutions (S3, Azure Blob, GCS), and infrastructure as code
• Data Integration: Experience with APIs, various data connectors, and formats
• Data Security: Understanding of data security best practices, access controls, encryption, and role-based access management
• AI & LLM Proficiency: Practical experience integrating and leveraging large language models (e.g., OpenAI, Anthropic, or open-source models) within data workflows; ability to apply LLMs efficiently and securely, with awareness of data privacy boundaries, prompt injection risks, and responsible AI usage in production environments
• Problem-Solving: Strong analytical and troubleshooting skills with attention to detail
• Communication: Ability to work effectively with both technical and business stakeholders
• Work Style: Comfortable with a hybrid work environment (2-3 days in office); highly autonomous and self-directed with a strong work ethic and growth mindset; exceptional attention to detail; able to take ownership of projects end-to-end with minimal oversight

What Would Be Nice

• Experience in the energy, utilities, or financial services industries
• Knowledge of energy trading concepts, market data, or asset management
• Familiarity with data governance frameworks and regulatory compliance (SOX, GDPR, CCPA)
• Experience with infrastructure as code (Terraform, CloudFormation)

Clearway will not sponsor non-immigrant visas for this position (H-1B, TN, E-3, etc.).

#LI-Hybrid

Job Summary:

A Senior Partner Engineer, Databricks Alliance, is the principal technical advisor and advocate for the Sigma-Databricks partnership, both internally at Sigma and externally with Databricks. This role requires a deep, current, and comprehensive understanding of both the Sigma and Databricks products and the differentiated value they deliver together to joint customers. The Senior Partner Engineer provides technical thought leadership and strategic guidance across the partnership lifecycle, including: enabling technical sales and solution development, managing high-priority technical engagements, driving enablement for field teams, and contributing to overall revenue growth and customer success.

Responsibilities:

• Strategic Technical Alliance Leadership: Serve as the primary technical leader and advocate for the Sigma Computing/Databricks strategic alliance. Drive the mutual success of joint customers by ensuring seamless technical integration, optimal performance, and maximized utilization of the Databricks platform and Sigma.
• Deepen and Expand Stakeholder Relationships: Cultivate and maintain robust technical relationships with key personnel at Databricks, including Product Management, Partner Leadership, Solution Engineering, and Sales teams, to ensure strategic alignment, drive co-innovation, and facilitate joint account mapping.
• Joint Go-to-Market (GTM) Enablement and Execution: Proactively collaborate with Sigma's GTM teams to identify, qualify, and technically support strategic joint customer opportunities. Develop and champion compelling technical GTM solutions, reference architectures, and partner-facing enablement content (e.g., training, workshops, internal demos).
• Platform Integration and Future-Proofing: Proactively identify and scope high-value joint product opportunities and facilitate the handoff to the Partner Architect team for deeper technical engagement and development.
• Cross-Functional Technical Subject Matter Expert (SME): Act as the internal authority on the Databricks platform, providing expert technical guidance and training to Sigma's Sales Engineering, Product, and Engineering teams on best practices for leveraging Databricks features in conjunction with Sigma. Own the creation and maintenance of technical resources for the field, including deep-dive enablement sessions (e.g., HOLs, workshops).
• Content and Event Technical Leadership: Lead the technical creation of joint thought-leadership content, including webinars, blogs, solution briefs, demo vignettes, and presentations for major industry events (e.g., Data and AI Summit, Data and AI World Tours). Coordinate with Sigma’s Marketing and Demo Engineering teams to ensure high-quality technical representation at all joint GTM activities.
• Advanced Solution Development: Identify, design, and evangelize high-value, industry-specific technical solutions leveraging the combined capabilities of Sigma and Databricks, working with internal teams, Systems Integrator partners, and Databricks Industry Leads and Field CTOs to package these solutions for field consumption.

Qualifications:

• 5+ years of experience in a highly technical customer-facing or partner-focused role, such as Technical Alliance Management, Solution Engineering, Product Management, or Technical Consulting.
• Deep and current hands-on experience with the Databricks Data Intelligence Platform is mandatory. Proven understanding of its core architecture, features, and ecosystem integrations.
• Strong technical background in data analytics, data warehousing, business intelligence, and cloud data platforms.
• Prior Data Engineering and Front-End Software Development experience is preferred.
• Prior experience working with BI and Analytics platforms is required; experience with Sigma Computing is a plus.
• Proven ability to develop and maintain strong, mutually beneficial technical relationships with key stakeholders at major partner organizations (e.g., Product, Engineering, Partner Sales).
• Exceptional communication and presentation skills, with the ability to translate complex technical concepts into clear, compelling business value for both technical and non-technical executive audiences.
• Demonstrated ability to be a self-starter who thrives in a fast-paced, high-growth startup environment and can manage multiple priorities independently.
• Willingness to travel up to 50% of the time for partner and customer engagements, and company/industry events.

SoFi is seeking a Manager to join our Capital Markets team. In this role, you will be the structuring point person working with a cross-functional internal team of capital markets, treasury, investor relations, legal and IT team members together with external constituencies including broker-dealers, investors and rating agencies to establish the most efficient structures for proposed Capital Markets’ transactions.

What you’ll do:

• Manage the structuring process for all Securitizations and Loan Sales, including Intex file set up and iteration and Cash Flow model analysis. 
• Analyze and understand the economic impact of using different avenues of funding available through the capital markets (execution related to ABS transactions, whole loan sales, warehouse financing, and bulk sales).
• Validate and utilize third-party valuation agent credit assumptions and analytics to run internal analyses related to fair market value of SoFi’s managed pool of loans.
• Monitor dashboards and spreadsheets that track ongoing performance of our securitizations and other transactions.
• In partnership with internal and external counsel, review and negotiate transactional terms through to execution.
• Collaborate and provide strategic support to internal stakeholders such as credit, legal, engineering, product, treasury, accounting, servicing and finance.
• Assist with the content preparation, communication, correspondence, and due diligence processes for external stakeholders including investors, lenders, rating agencies, data systems providers, law firms, trustees, custodians, and accounting firms.
• Other ad hoc support as needed requested relating to whole loan sales, asset backed securitizations, new products, securities financing, unsecured lines of credit, and any other future financing initiatives of the company.

What you’ll need:

• 8+ years of relevant experience desired, primarily in capital markets and ABS execution
• BS/BA in business, finance, accounting, economics or similar technical field
• Excellent work ethic and willingness to contribute broadly to achieve team and company objectives   
• Strong verbal and written communication as well as technical and organizational skills
• Strong analytical skills with attention to detail and deep knowledge of Intex Dealmaker and Bloomberg
• Clear understanding of Rating Agency criteria and how they translate into transactional structures
• Strong ability to read and interpret financial contracts and knowledge of core documents and industry standard/best practices in transactional terms
• High level of proficiency with Microsoft Office suite (particularly in Excel, PowerPoint)
• Previous experience with lending or consumer credit products a plus: mortgages, student loans, credit cards, personal loans, etc.
• Previous experience with asset-backed securitization data sets a plus:  Bloomberg, Intex, DV01, etc.

The role:

The Sarbanes-Oxley (SOX) Program Management Office (PMO) and Testing Group at SoFi is part of the Controllership and is responsible for ensuring the company has the necessary internal control and assessment elements in place to meet the SOX requirements. The PMO facilitates risk assessment and scoping to determine project scope of each reporting year, then prepares the internal control assessment plan and accompanying timeline, inclusive of scheduling and conducting walkthroughs for each process and control, and updating corresponding control description and process flowcharts.The Testing team facilitates all SOX management assessments for SoFi and its subsidiaries by attending control walkthroughs and conducting testing for all in-scope systems and controls. The IT Testing team performs testing over IT General Control, IT Automated Controls, Key Reports and IT-related Entity Level Controls. The Data Analytics team develops and implements testing automations, evaluates new technologies and supports reporting and dashboarding for the SOX Audit.

Responsibilities for the SOX Data Analytics & AI Manager, include, but are not limited to, identifying, developing and implementing data analytics and automation solutions for the SOX PMO & Testing teams, partnering with external stakeholders to implement automation solutions related to SOX controls, providing oversight of the SOX Data Analytics program, and assisting the SOX PM with reporting as needed. The SOX Data Analytics & AI Manager will report to the SOX IT Testing & Data Analytics Senior Manager, and will work with a mix of direct, indirect, and external team members to execute the program, including the SOX PMO IT Sr Manager and PMO team, to employ strategic and critical thinking skills to develop data analytics and automations.

SoFi’s fast pace of growth provides career development (e.g., work directly with senior and executive management) and learning opportunities (e.g., new system implementations) considering the role's enterprise-wide exposure.

What you’ll do: 

• Use data analytics, automation techniques and AI to increase efficiency and effectiveness in the SOX program execution (e.g., risk assessments, testing, fraud risk detection, deficiency analysis), program analytics/monitoring as well advise the business control owners on mechanisms to automate controls.
• Develop, Build and Lead the SOX Data Analytics and AI program
• Create SOX Data Analytics and AI program framework and policy/standards
• Work closely with the SOX team and cross-functional stakeholders to translate business objectives into technical specifications for data analytics and automation projects. This includes understanding the SOX business need, identifying technical requirements and bridging the gap between complex data and systems, business needs and internal control requirements.
• Lead the integration of AI and Automation tools to enhance testing efficiency. Develop and deploy automated continuous control monitoring solutions to provide comprehensive coverage of high-risk areas, shifting from point-in-time assurance to continuous assurance
• Design and implement automated data pipelines, build SQL queries and data extraction scripts for evidence retrieval and control testing, reducing manual intervention
• Collaborate with business stakeholders and EPD teams to design and implement integrated solutions that meet business and internal control requirements.
• Identify opportunities for process improvement through automation within the internal control environment.
• Partner with other Data Analytics teams across the three lines of defense to drive cross-functional data analytics projects, such as the build out of a shared data warehouse and code library, and harmonize risk and control reporting across.
• Establish internal policies, procedures and standards for the deployment and use of Automation and AI within the internal control environment.
• Collaborate with the SOX Sr Director, SOX Sr Program Manager, SOX IT Testing Lead and other SOX Leads to identify reporting needs, develop and implement dashboards, including the monitoring of SOX Program (e.g., Audit Status, Issue Trends, Resourcing, Budgeting)
• Key management consultant, and internal controls expert in building and maintaining ongoing relationships with the various lines of business included in the company's SOX process.
• Responsibilities also include the following: 1) adhering to and complying with all applicable, federal and state laws, regulations and guidance 2) adhering to company policies and procedures, 3) completing required training.
• Support other assignment and ad hoc matters as required

What you’ll need:

• Education: Bachelor's Degree.
• 5-7 or more years of Data Analytics experience, including 2-3 years of data analytics within internal audit control teams
• Proficiency in SQL, Python and other languages, including writing complex SQL queries to pull data
• Experience with business intelligence, data warehousing and dashboarding, including Snowflake, Tableau and PowerBI
• Ability to work independently and lead in ambiguity and in a fast-paced environment
• Understanding of data lineage and integrity
• Driven by Excellence - you are driven by our mission and our passion for customer success which means you relentlessly pursue excellence, that you do not tolerate mediocrity and you work intensely to achieve your goals
• High Integrity - you seek open and honest communication, and you hold yourself to very high moral and ethical standards
• You reject manipulation, dishonesty and intolerance
• Critical thinking, analytical and strategic skills
• Ability to independently navigate within an ambiguous environment
• Organized, detailed, proactive, self-motivated, collaborative
• Proven ability to work cross functionally and adapt to change are extremely important
• Ability to prioritize workloads and ensure deadlines are consistently met
• High integrity and ability to handle confidential information
• Ability to define deliverables, build budgets and project plans, align resources and specialists for project teams
• Strong project management skills and organizing ability with successful experience in concurrently managing multiple projects at varying levels of technical difficulty 
• Strong teamwork and communication skills (both oral and written)

Nice to have:

• Big 4 Accounting Firm experience is strongly preferred.
• CPA and CIA/CISA or strongly preferred
• Prefer FinTech, banking and/or financial services experience primarily focused on IT SOX or IT enterprise-wide risk management and ICFR controls consulting.
• Practical and deep knowledge of IT / BP SOX, ICFR and COSO and baseline understanding of business process controls.
• Expertise in performing SOX testing, including ITGCs, ITACs, Manual Controls and Key Report Testing (e.g., examining report configurations, scripts)

We are looking for a technically skilled, self-motivated, customer-focused manager to lead a team of high energy Support Engineers. In this role you will be responsible for hiring, developing and mentoring team members as well as delivering against key performance metrics. You'll lead process improvements for customer and partner growth, retention, and excellence, while fostering individual contributions and driving cross-functional projects that spark innovation and collaboration. You need to be comfortable working in a fast paced environment and continuously challenge the team to step outside their comfort zone.

Minimum Education Requirement

This position requires a U.S. Bachelor's degree (or foreign equivalent) in Computer Science, Software Engineering, Information Systems, Data Science, or a closely related technical field. This requirement is a minimum and cannot be substituted by work experience alone.

What You Will Be Doing

• Become a product expert. We are a data driven group and expect you to become fully proficient in Sigma.
• Lead a team of exceptional product experts providing the Sigma user base with an excellent customer experience.
• Hire, develop and train a strong team of Support Engineers on an ongoing basis.
• Collaborate with cross-functional groups — Engineering, Design, Product, Customer Success, Sales, and Marketing ensuring delivery of a great customer experience.
• Manage and develop a strategy toward key metrics: CSAT, Initial Response (IR), SLA, Time to Resolution (TTR).
• Continuously refine processes to optimize efficiency, elevating customer support operations.
• Uncover golden insights within Support data, translating them into actionable strategies for continuous improvement.
• Develop a reputation for excellence, high credibility and integrity with peers across the org.

Qualifications We Are Looking For

• 5+ years of industry experience supporting data platforms in an enterprise environment and 2+ years in a people management role.
• Computer Science fundamentals. Strong domain expertise in databases and business intelligence.
• Comfortable with CDW environment/concepts.
• Proficient in SQL and data modeling concepts.
• A proven track record of building trust with customers and bringing issues to resolution quickly.
• Are curious, love to learn and to dig into new technologies and can pick them up quickly.
• Excellent verbal and written communication skills.

Highly Desirable Skills & Experience

• Managed a team supporting a SaaS product.
• Experience working with Snowflake, Redshift, or BigQuery.
• Knowledge of GCP or AWS.
• Startup experience.

Additional Job details

The base salary range for this position is $160k - $185k 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 bonus and stock options, as well as a comprehensive benefits package.

Sigma is growing rapidly, and our Technical Support Engineering team is scaling alongside it to meet the needs of an expanding global user base. As a Technical Support Engineer at Sigma, you will be part of an award-winning team recognized with the 2024 Stevie Gold Award for Customer Service, helping customers solve technical, business, and data challenges using the Sigma platform. You'll work closely with Product, Engineering, and Go-to-Market teams to diagnose complex issues, drive solutions, and contribute to the continuous improvement of our product and support operations.

Minimum Education Requirement

This position requires a U.S. Bachelor's degree (or foreign equivalent) in Computer Science, Software Engineering, Information Systems, Data Science, or a closely related technical field. This requirement is a minimum and cannot be substituted by work experience alone.

What You Will Be Doing

• You will work with Sigma's customers and the pre-sales team to assist with the diagnosis and resolution of complex technical issues.
• Working closely with the development team, you will develop best practices and tools for diagnosing issues and optimizing the service for performance.
• Collaborate with cross-functional groups — backend, frontend, DevOps, design, product, and the go-to-market teams to create a first-class experience for users of our product.
• Participate in quarterly projects and perform periodic on-call duties to improve automation and processes.

Qualifications We Are Looking For

• 2+ years of experience in a customer-facing technical role (Technical Support, Solutions Engineering, or Software Engineering) at a cloud or SaaS provider.
• SQL proficiency — strong grasp of JOINs, Partitions, Window Functions, Aggregations, CTEs, and sub-queries.
• SQL query performance troubleshooting and query plan analysis.
• Proficient in data modeling concepts.
• Ability to chart data into logical visualizations.
• A proven track record of building trust with customers and bringing issues to resolution quickly.
• Excellent verbal and written communication skills.
• A strong desire to build scalable processes for issue resolution — documenting common patterns and building tooling for diagnosing issues.
• Strong collaboration skills and the ability to work with multiple departments to coordinate issue triaging, diagnosis, and resolution.

Highly Desirable Skills & Experience

• Supporting a cloud service in production.
• Experience working with Snowflake, Redshift, or BigQuery.
• Knowledge of GCP or AWS.
• Startup experience.

Additional Job details

The base salary range for this position is $90k - $125k 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 an annual bonus, stock options, as well as a comprehensive benefits package.

If you do not feel that you satisfy all the listed requirements, we encourage you to still apply. We are enthusiastically looking for people that will help us grow our company and sometimes we are imperfect communicators and can’t articulate perfectly what experience is required for a role. We are looking for people that are excited to grow and constantly ask how we can do things better. If you are excited about the opportunity, we encourage you to apply even if you don’t satisfy 100% of the job requirements.