Delivering Customer Success is an important focus for Dataiku. As a Senior Customer Success Engineer (CSE) within our Solutions Engineering team, you’ll help Dataiku’s customers achieve meaningful outcomes with business analytics, AI/ML, and Gen AI. 

In this technical and consultative customer-facing role, you’ll focus on technical programming to increase adoption through product enablement and one-to-many user engagement. You’ll leverage your understanding of enterprise analytics, high-impact communication abilities, and hands-on data science skills to add business value. This role will also partner closely with cross-functional teams, including Account Executives, Sales Engineers, and Professional Services and Partners to accelerate end-user adoption.

How you’ll make an impact 

• Work closely with Dataiku’s customers, focusing on onboarding, increasing user adoption, retention, and satisfaction.
• Possess deep technical knowledge of the Dataiku platform to educate customers on best practices within the Dataiku platform. 
• Develop a deep understanding of customer business, use cases, and outcomes to guide their success with Dataiku's products and services.
• Execute demonstrations of new product features and conduct hands-on workshops in collaboration with the Sales Engineers. 
• Establish regular touchpoints with customers to advise users on using Dataiku for their specific business needs, including hands-on support as appropriate.
• Execute programs to create self-sustaining enablement and evangelism of Dataiku within customer accounts.
• Collaborate with Account Executives and Sales Engineers to drive customer engagements with the Dataiku platform and identify opportunities for expansion (both software and professional services) that can drive additional value for customers.
• Document and share the adoption status and key information to inform internal forecasting and renewal.
• Collaborate with other Dataiku functions (such as marketing) on capturing and sharing the customer stories publicly. 
• When identifying technical issues that block user adoption, coach administrators and users to initiate support tickets for timely resolution. 
• Stay current on Dataiku’s products, competitive landscape, and data science trends.
• Willingness to travel up to 25%.

What you’ll need to be successful

• Bachelor’s degree in Data Science, Business Analytics, Statistics, Computer Science, or a related technical field.
• Minimum of four years of experience in sales engineering, technical or solutions consulting, post-sales technical delivery, or data science roles with a proven track record of customer trust and satisfaction.
• Strong written and oral presentation skills, capable of engaging both business and technical stakeholders.
• Strong technical, analytical, and problem-solving skills.
• Experience in building and operating communities of practice.
• Ability to navigate ambiguity, build consensus, foster accountability, and work with urgency to deliver customer outcomes.
• Ability to tailor messaging to personas with varying levels of technical acumen, including no-code and high-code users
• Dataiku advanced designer, Snowflake SnowPro Core and Databricks Business Analyst certifications preferred (not required).
• Preferably located within the Northeast region of the United States. 

What will make you stand out

• Never-ending intellectual curiosity, detail-oriented, and analytical.
• Hands-on experience with data storage and computing infrastructure (SQL, Kubernetes, etc.) and proficiency with Python, R, SQL
• Knack for public speaking with appreciation for engaging with all levels of customer teams, from individual contributors to leadership.
• Passion for technology, the data and analytics space, and enjoyment learning new solutions, features, and functionalities, translating these into business value for customers.
• Experience in Analytics/AI or other enterprise software (preferred but not required).

About The Role

As a Manager of Sales Development, you will lead our exceptional, high agency team to achieve ambitious objectives to drive overwhelming demand for our data activation platform, develop the future leaders of our company, and grow our brand recognition in the market.  You will report into our Head of Sales Development. 

This role is perfect for a leader who is passionate about building and scaling outbound programs, coaching talent, and partnering cross-functionally to drive meaningful pipeline at the top of the funnel.  In this role, you’ll be responsible for hiring, developing, and managing a team who are focused on engaging a range of personas at some of the world’s most impactful companies. 

We’re looking for an experienced and people-driven sales leader who has the skills to effectively drive progress toward our sales organization’s ambitious and challenging objectives. You are strongly aligned with our values and bring a high sense of ownership to your work at Hightouch.

This is a hybrid role in our Chelsea, NYC office or Denver, CO office. 

What You’ll Do

• Hire, train, and develop a team of outbound SDRs
• Coach your team on prospecting and campaign development through 1:1s, call reviews, email coaching, and other formats as needed
• Monitor and report on the team’s performance against input and output metrics
• Work closely with Sales and Marketing leadership on demand generation strategy, sales play development, messaging, and more
• Support the sales leadership in defining the team’s operating model, targets, and headcount needs

What We’re Looking For

• 5+ years of experience in sales with 2+ years of experience leading a sales development function in B2B SaaS focused on outbound opportunities
• Strong analytical skills and passion for digging through data to assess team + business performance.
• Proven track record of team quota attainment.
• Passion for hiring and developing people early in their careers.
• Experience supporting teams working across Enterprise and Mid-Market segments.
• Enthusiasm for wearing many hats, you’re happy to hop on a cold call as well as inspecting message quality and call recordings.
• Experience creating a team culture of collaboration and winning.

Bonus If You Have

• Experience using sales tools such as Outreach, Gong, LinkedIn Sales Navigator, etc.
• Previous closing experience as an Account Executive.
• Have worked in sales at an early or growth stage technology startup.

Compensation

About The Role 

Hightouch is looking for a Sales Development Representative to join our rapidly growing team. In this role, you will be responsible for generating top of the funnel leads in addition to building foundational processes and strategies to the commercial sales team. You will be outbounding to engineers, marketers, and operation teams so we are looking for someone who is highly intelligent and also has the ability to connect with multiple audiences.

What You’ll Do 

• Outreach directly into prospective agents that fit our ideal persona via cold-calls, text, emails, integrated marketing campaigns, LinkedIn campaigns and other methods
• You work with the growth team to  research and craft personalized outreach to target accounts
• Find creative methods, channels, and strategies to help guide prospects to our free trial
• As part of our growing SDR team, help define and improve sales processes, strategies, tactics, and more
• You will be tasked with a goal and expected to execute against it on a monthly basis
• You will live in slack and monitor for new signups, engaging them directly in order to schedule meetings with them. Those meetings will be scheduled for with the sales org and the customer

What We're Looking For

• Bachelor's degree
• Be a Self-starter, ability to self-motivate in a high-growth start-up
• Effective communication skills, both written and verbal
• Prior experience engaging customers and prospects
• Interest in tech and more specifically data
• Ability to multitask, organize, and prioritize work

Even if your experience does not line up perfectly, we are still excited to have you apply. The best hires do not always check off every box of a job description.

About The Role

As .Monks continues to expand our Data & Digital Media capabilities, we are looking for a senior professional to support and grow our services in marketing analytics.

In this role, you will support both ongoing and new engagements by overseeing the delivery of actionable and impactful insights at the intersection of business, site, and paid media data. This position plays a key role in evolving our analytics capabilities while also working closely with client stakeholders to deliver high-quality, scalable solutions.

This is a highly hands-on, client-facing role, with a strong focus on building and maintaining data pipelines, enabling measurement frameworks, and supporting advanced analytics use cases.

Key Responsibilities

• Support analytics delivery across client engagements, ensuring high-quality outputs and actionable insights
• Design, build, and optimize data pipelines and workflows to support reporting, forecasting, and measurement initiatives
• Understand business needs and contribute to the development of cross-channel measurement frameworks
• Partner closely with client stakeholders to translate data into insights and recommendations
• Support test design and analysis to evaluate performance and identify opportunities for improvement
• Contribute to the development of new analytics approaches, tools, and processes
• Identify opportunities to improve efficiency, automation, and data operations
• Collaborate with cross-functional teams (media, strategy, analytics) to deliver integrated solutions

Primary Qualifications

• Bachelor’s or Master’s degree in a quantitative field (e.g., computer science, statistics, applied mathematics, economics, engineering) or equivalent experience
• Strong hands-on experience with SQL and data pipeline development (ETL/ELT)
• Experience working with large datasets in cloud environments (e.g., GCP, Databricks, or similar)
• Working knowledge of Python or similar languages for data processing or automation
• Familiarity with data visualization tools (e.g., Tableau, Datorama, or similar)
• Understanding of digital advertising measurement, reporting, and attribution methodologies
• Strong communication skills, with the ability to translate complex data into clear insights
• Ability to work independently and manage priorities in a fast-paced, ambiguous environment

Nice to Have

• Experience with Databricks, Spark, or distributed data processing frameworks
• Exposure to marketing mix modeling (MMM), forecasting, or advanced measurement techniques
• Experience working in consulting, agency, or embedded client environments
• Familiarity with AI/ML or emerging data applications

Additional Information

• This is an individual contributor role with significant ownership and client exposure
• Success in this role requires a proactive, self-starter mindset and strong stakeholder management skills
• This role supports a West Coast–based team, so candidates should be comfortable collaborating with PST stakeholders and flexing hours when needed (e.g., occasional late afternoon meetings)

At Monks, we believe in fostering an environment where a diversity of perspectives can thrive. We proactively work to design hiring processes that promote equity and inclusion while mitigating bias. We celebrate diversity and are committed to building a team that reflects the communities we serve. We welcome and encourage qualified applicants, from all backgrounds, who are excited to contribute to our mission.  

This role is subject to our Return to Office (RTO) policy. If you reside within a commutable distance of one of our office locations, you will be expected to work from the office a set number of days per week. The specific details, including the number of required office days, will be in accordance with the company’s then-current RTO policy, which is subject to change from time to time.

#LI-HYBRID

#LI-ZZ1

The Data Engineering team builds tools and systems that make Gusto's data consistent, user-friendly, and helpful. This helps our teams make decisions using data and provide intelligent, customized experiences to our customers.

We're looking for a Senior Data Engineer who can take loosely defined problems and drive them end-to-end—from framing the problem and aligning stakeholders to designing, building, and delivering durable data solutions. You’ll partner closely with analytics, product, and engineering teams to deliver data solutions that drive real business and customer impact.

Preferred Qualifications

• 8-10+ years of industry experience in data engineering building scalable data pipelines and data products
• Strong proficiency in SQL and at least one programming language (e.g., Python, Scala, or Java)
• Proven experience building and maintaining robust data pipelines and ETL workflows, with hands-on dbt experience for reliable, testable, and maintainable data transformations.
• Hands-on experience ingesting data from diverse sources, including APIs, databases, SaaS applications, and event streams.
• Strong foundation in data modeling, schema design, and data quality best practices, with functional experience working on cloud platforms like Snowflake, Redshift, BigQuery, or Databricks.
• Experience implementing CI/CD pipelines, automated testing, and data observability to ensure reliability and trust in data systems
• Familiarity with monitoring, alerting, and incident response for production-grade data pipelines
• Proven ability to optimize performance and cost across data workflows and storage systems
• Functional understanding of how to leverage AI and automation in data engineering — building self-service tools, intelligent pipelines, and agents that automate repetitive tasks
• Exemplar problem-solving skills and ability to work collaboratively in cross-functional teams.
• Strong communication and collaboration skills, with a focus on clarity, empathy, and shared ownership

Compensation Details

Our cash compensation amount for this role is targeted at $155,000-$185,000/yr in Denver, $170,000-$200,000/yr in Los Angeles, and $190,000-$220,000/yr for San Francisco, Seattle, and New York. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above.

SLSQ227R297

As a Startup Account Executive at Databricks, you get to work with some of the most exciting, disruptive companies using data to change the world. You are creative and self-motivated with experience running both transactional and strategic sales processes. You know how to sell innovation and change through customer vision expansion and can guide deals forward to compress decision cycles. You love understanding a product in-depth and are passionate about communicating its value to customers and partners. Along with the chance to close exciting deals, we also offer accelerators above 100% quota accomplishment. You will report to a regional sales manager.

The impact you will have:

• Build a territory plan within 30 days with a clear account prioritization strategy.
• Align existing customers with the Lakehouse vision and ecosystem.
• Be able to range from faster transactions to large strategic deals.
• Maintain clear Salesforce and Clari hygiene, including use case, MEDDPICC, revenue forecasts, and account notes.
• Lead with a customer-first mindset and focus on business value

What we look for:

• 2+ years of closing sales experience
• Prior experience in big data, Cloud, or SaaS sales
• Be able to quickly learn new technologies and value propositions
• Experience exceeding sales KPIs and quotas

Method is a global design and engineering consultancy founded in 1999. We believe that innovation should be meaningful, beautiful and human. We craft practical, powerful digital experiences that improve lives and transform businesses. Our teams based in New York, Charlotte, Atlanta, London, Bengaluru, and remote work with a wide range of organizations in many industries, including Healthcare, Financial Services, Retail, Automotive, Aviation, and Professional Services.

Method is part of GlobalLogic, a digital product engineering company. GlobalLogic integrates experience design and complex engineering to help our clients imagine what’s possible and accelerate their transition into tomorrow’s digital businesses. GlobalLogic is a Hitachi Group Company.

We are seeking an experienced Principal Data Architect to join our Data & AI team. In this leadership role, you will help shape modern data and AI architecture strategies that enable organizations to achieve business outcomes through scalable, reliable, and secure data platforms. You will work closely with senior stakeholders, client teams, and engineering teams to define architectural direction, guide implementation approaches, and support the delivery of data-driven capabilities across analytics, AI, and operational use cases. You will exemplify Method culture and values by driving standards of excellence and mentoring and educating those who are accountable to you on projects or within the data engineering discipline. You will be reporting into the head of the Data & AI team. 

This role requires a strong blend of technical depth, architectural thinking, client engagement and team mentorship. You will be expected to navigate ambiguity, align business and technology priorities, and help teams deliver practical, high-quality solutions that support long-term value creation. In addition to shaping solution direction, you will play an important role in guiding and developing data engineering teams through coaching, knowledge sharing, and hands-on support.

Travel for team, client and sales meetings is required, typically up to 25%. This is a US-based position in the East Coast or Mid-Central time zone.

Job Responsibilities

• Lead complex data and AI platform initiatives, addressing architectural concerns while enabling delivery teams to meet defined standards, timelines, and budgets.
• Provide client-facing technical leadership on data architecture, data engineering, analytics platforms, and AI/ML infrastructure.
• Collaborate with enterprise architects and senior technology stakeholders to align on architectural decisions, trade-offs, and implementation approaches.
• Communicate architectural concepts clearly to both engineering teams and business stakeholders.
• Design architectures that bridge operational systems and analytical platforms, enabling data products, advanced analytics, and AI capabilities.
• Define and implement architectures for data governance, security, privacy, and regulatory compliance.
• Establish and integrate data quality frameworks, observability practices, and data reliability processes.
• Partner with sales and pre-sales teams to shape solution approaches, validate technical feasibility, and support proposals.
• Develop new value propositions and offerings for the data engineering at Method, create go to market strategies, test and refine the offerings during the sales pursuits.
• Grow and maintain the data engineering team. Provide career guidance and facilitate career development opportunities across Method. 
• Create an environment that brings together the best of various data disciplines with care for the uniqueness of each project. 
• Foster a culture of curiosity and learning, creating opportunities for employees to learn and grow into our future leaders.

Skills Required
Technical Skills

• 8+  years of experience in data engineering, with 3+ years in a technical leadership role. 
• Experience designing and implementing modern data architectures, including lakehouse, data mesh, and real-time data platforms, and evaluating technology trade-offs.
• Strong background in distributed systems and data-intensive applications.
• Experience building and operating large-scale data platforms, including data warehouses, streaming systems, and data lakes.
• Expertise in data modeling, data platform operations, observability, and reliability engineering for data systems.
• Proficiency with modern data and distributed technologies such as Spark, Kafka, Flink, Trino/Presto, Iceberg/Delta/Hudi, and distributed storage systems.
• Experience designing streaming and low-latency architectures and understanding their operational trade-offs.
• Experience designing and deploying AI/ML platforms, including feature stores, model training pipelines, and model serving systems.
• Familiarity with MLOps and ML productionization practices, including CI/CD, model monitoring, and governance.
• Strong experience working with cloud platforms (AWS, Azure, or GCP) and cloud-native data services.
• Experience with modern data platforms such as Snowflake, Databricks, or similar analytics environments.
• Understanding of data governance frameworks, data cataloging, lineage, and privacy controls.
• Experience implementing data-driven decision systems, advanced analytics, and machine learning solutions in enterprise environments.

Professional Skills

• Advise C-suite executives on data strategy, AI investment, and digital transformation at the highest organizational level.
• Strong experience supporting pre-sales, solution shaping, and technical discovery engagements.
• Support client partners in growing key accounts by identifying new opportunities, navigating complex situations, and educating clients on the value of our work beyond data and AI.
• Excellent stakeholder management skills and the ability to build trust with both business and technical leaders.
• Ability to cultivate strong partnerships across organizations to drive adoption of modern data and AI capabilities.
• Strong influencing skills, with the ability to galvanize, inspire, and align others around a shared direction.
• Contribute Thought Leadership through presentations, blogs, or public talks
• Strong conflict resolution and risk management skills.
• Team player with the capacity to mentor, guide, and champion engineering teams and architects.
• Commitment to technical excellence, pragmatic delivery, and continuous improvement. 

Why Method?

We look for individuals who are smart, kind and brave. Curious people with a natural ability to think on their feet, learn fast, and develop points-of-view for a constantly changing world find Method an exciting place to work. Our employees are excited to collaborate with dispersed and diverse teams that bring together the best in thinking and making. We champion the ability to listen, and believe that critique and dissonance lead to better outcomes. We believe everyone has the capacity to lead and look for proactive individuals who can take and give direction, lead by example, enjoy the making as much as they do the thinking, especially at senior and leadership levels.

We believe in work/life balance. Seriously. We offer a ton of competitive perks, including:

• Continuing education opportunities 
• Flexible PTO and work-from-home policies 
• Pension 
• Health and dental benefits
• Company lunches, company outings, along with a lot of snacks 
• Health and wellness programs 
• Other location specific perks (just ask!)

Next Steps

If Method sounds like the place for you, please submit an application. Also, let us know if you have a presence online with a portfolio, GitHub, Dribbble or other platform.

* For information on how we process your personal data please see Privacy.

* If you are a California resident, more details on how we process your personal information can be found in the CCPA Recruitment Privacy Notice (https://www.globallogic.com/privacy/ccpa-recruitment-privacy-notice/)"

Colorado Applicants (Colorado Equal Pay for Equal Work Act Disclosure):  The starting salary range for this role to be performed in Colorado is estimated to be between $160,000 to $200,000 annually.  This salary range is specific to Colorado residents only, and provided as a general estimate.  The amount offered may be higher or lower. Method  takes many factors into making an offer, including candidate qualifications, work experience, operational needs, travel and onsite requirements, internal peer equity, prevailing wage, responsibilities, and other market and business considerations. 

New York City Applicants (New York City Local Law 32;  Pay Transparency Law):  The starting salary range for this role to be performed in New York City is from $192,000 to $205,000. This salary range is specific to New York City residents only, and provided as a general, good faith estimate. The amount offered may be higher or lower. Method takes many factors into making an offer, including candidate qualifications, work experience, operational needs, travel and onsite requirements, internal peer equity, prevailing wage, responsibilities, and other market and business considerations.

The Role

Ping Identity is seeking a technically strong, hands-on AI Automation Engineer to join the Data & AI team within the Office of the CIO. This is a builder role — you won't just configure platforms, you'll write code, design custom agent architectures, and deliver production-grade AI automation that drives measurable business impact across the enterprise.

As our second AI Automation Engineer, you'll work alongside our existing AI Automation Engineer and report to the Director of AI & Data. Where the first hire focuses on business process design and low-code/no-code delivery, you will own the programmatic side of our agent stack — building custom agents in Databricks, developing integrations and connectors, and tackling automation challenges that require real engineering depth.

This role is for someone who is equally comfortable in a Jupyter notebook and a stakeholder meeting — someone who can translate a complex business problem into a working, governed solution.

What You'll Do

• Build and deploy custom AI agents using Python and Databricks, including complex, multi-step agents that go beyond what low-code platforms can handle.
• Design and implement integrations between Glean, Databricks, and enterprise systems (Salesforce, Jira, Freshservice, etc.) — including custom connectors and data pipelines that feed our AI stack.
• Own the technical delivery of high-code agent use cases in our AI operating model — from requirements through deployment, monitoring, and iteration.
• Collaborate with the AI Automation Engineer (business-focused) to divide and conquer the agent backlog: they own the canvas/low-code layer, you own the programmatic layer.
• Partner with data engineers to ensure agents have access to clean, reliable, well-governed data via Databricks Unity Catalog and our lakehouse architecture.
• Support the agent governance process — writing technical specs, participating in governance reviews, and ensuring custom agents meet security, PII, and compliance requirements before production deployment.
• Contribute to the agent framework and tooling used by the broader AI team — prompt templates, evaluation harnesses, reusable agent components, and CI/CD pipelines for agent deployment.
• Triage and resolve technical escalations from the AI platform support queue that require engineering-level investigation.

What You'll Bring

• 3–5 years of hands-on software engineering or data engineering experience, with a track record of delivering production systems — not just prototypes.
• Proficiency in Python — you write clean, maintainable code, are comfortable working in data and AI engineering contexts, and actively use coding assistants (e.g., GitHub Copilot, Cursor, or similar) as part of your development workflow.
• Experience building on Databricks — specifically with AgentBricks and building custom agents on the Databricks platform. You know your way around notebooks, Delta Lake, and production-grade agent deployment.
• Demonstrated proficiency in building AI agents — you've designed, built, and shipped production agents (Glean canvas, LangChain, LlamaIndex, or similar), and you understand the engineering tradeoffs involved (retrieval, tool use, evaluation, latency, cost). This is a core expectation of the role, not a nice-to-have.
• Proficiency with agentic coding frameworks (e.g., DSPy, LangChain, CrewAI, or similar) — you've used these in production contexts, not just tutorials, and know how to evaluate the right tool for the job.
• Familiarity with agent tracing and monitoring concepts — you understand how to observe agent behavior in production (e.g., trace logs, token usage, latency, failure modes) and know why it matters for reliability and governance.
• API and integration experience — you can read API docs, build connectors, and wire systems together without hand-holding.
• Strong communication skills — you can explain technical architecture to non-technical stakeholders and write documentation people actually use.
• Collaborative and cross-functional — comfortable working across IT, data, and business teams in a fast-moving environment.

You Have an Advantage If

• You've played a hands-on technical role in top-down, enterprise AI transformation initiatives — where the work was tied to clear business outcomes, P&L targets, or measurable productivity gains, not just engineering deliverables.
• You have hands-on experience with Glean — building agents, configuring connectors, or working with the Glean API.
• You've built production-grade agentic workflows incorporating RAG, tool use, orchestration layers (LangGraph, CrewAI, custom), or multi-agent patterns.
• You have experience with Salesforce integrations or have built agents that take actions inside enterprise SaaS platforms.
• You're familiar with MLOps or LLMOps practices — model evaluation, prompt versioning, observability, and deployment pipelines.
• You have a background in data engineering and are comfortable with SQL, Delta tables, and Unity Catalog governance patterns.
• You've contributed to AI governance or responsible AI programs — specifically around agent safety, PII handling, and access control.
• You've worked in a B2B SaaS or enterprise software environment and understand how to build solutions that are supportable at scale.

Base Salary Range: $130,766 - $150,000

In accordance with Colorado's Equal Pay for Equal Work Act (SB 19-085), the approximate compensation range for this role in Colorado is listed above. Final compensation will be determined by various factors, such as knowledge, skills, and abilities.

Job Description  

We automate the most tedious parts of the data stack—so data arrives in the warehouse ready to query, transform, and power insight. No maintenance, no manual effort, just trusted data delivered at scale.

Today, thousands of the world’s most data-driven companies—spanning Fortune 500s to high-growth startups—rely on Fivetran to move billions of records daily and execute millions of transformations through our platform. With ever-increasing demand for data in AI and analytics workflows, we’re building the infrastructure to power the next generation of intelligent business.

About the Role

As a Product Manager on our Enterprise Platform team, you’ll shape the foundation that makes Fivetran scalable, secure, and extensible for thousands of enterprise customers. 

You’ll lead key initiatives across the platform–enterprise-grade security and governance, user and workspace configuration, and observability tooling—ensuring customers can confidently configure, govern, and scale Fivetran usage.

This is a high-impact, high-visibility role, perfect for product leaders who thrive on technical challenges, tight feedback loops, and opportunities to shape long-term platform strategy. You’ll balance usability and self-service with enterprise-grade requirements like scale, security, and governance.

This is a full-time position based out of our Denver, CO office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team.

What You’ll Do

• Define and drive the vision, strategy, and roadmap for key platform features

• Partner closely with engineering and design to define and deliver robust, intuitive functionality that meets the needs of enterprise customers.

• Understand customer needs by engaging directly with users, analyzing feedback and usage data, and collaborating with support, sales, and solutions engineering.

• Drive cross-functional alignment and go-to-market readiness for major product launches.

• Stay on the pulse of trends in developer platforms, data infrastructure, and enterprise tooling—with an eye toward AI-first opportunities.

Skills We’re Looking For

• Product management experience in B2B SaaS or cloud platforms.

• A strong technical foundation—comfortable working on APIs, backend systems, developer tools, or security platforms.

• A track record of owning complex initiatives and delivering high-impact outcomes for technical users.

• Exceptional collaboration and communication skills across product, engineering, and go-to-market teams.

• Analytical mindset and comfort with ambiguity in a fast-paced environment.

• Ability to thrive in a fast-paced, high-growth environment.
   

Bonus Skills

• Familiarity with modern data infrastructure and tooling (e.g., ELT/ETL, dbt, Airflow, Dagster, Snowflake, Databricks).

• Experience with enterprise security and compliance standards (e.g., SSO, RBAC, audit logging, SOC2).

• Prior work on developer tools, SDKs, or extensibility platforms.

• Hands-on experience with cloud platforms (AWS, Azure, GCP).

• Prior experience in a startup or fast-paced environment.

#LI-HYBRID #LI-KM3

About the Role

Fivetran is building data pipelines to power the modern data stack for thousands of companies. We’re looking for a Customer Support Engineer for our API Connector Team. At Fivetran, our Customer Support Engineers (CSEs) take on exciting technical challenges while partnering with internal and external stakeholders to drive issues to a timely resolution. As a Support Engineer, you will partner with some of the most passionate teams in the world, our customer teams, to deliver a best-in-class experience. Through a collaborative and holistic approach that is focused on the resolution and prevention of issues, our CSEs as our customer’s technical champion within Fivetran.

This is a full-time, hybrid position based out of our Denver or Oakland office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team.

What You’ll Do

• Provide virtual technical support to Fivetran customers and partners.
• Work closely with Fivetran customers and other stakeholders to ensure high customer satisfaction and timely resolution of reported issues.
• Investigate and Troubleshoot technical issues within the Fivetran environment using logs, internal/external tools, and foundational knowledge of our product and technologies.
• Work closely with Fivetran’s Dev team to identify and resolve bugs and issues impacting Fivetran customers.
• Become a Subject Matter Expert on the Fivetran API Connectors and related technologies.
• Document any known or newly identified solutions in our knowledge base and share this knowledge across the team.
• Collaborate with teammates on technical and non-technical projects.
   

Skills We’re Looking For

• 2+ years of relevant professional experience
• Strong customer advocacy skills, demonstrated over email and on video calls or screen shares
• Excellent written and verbal communication skills in English
• Experience troubleshooting APIs, including:
  • Making API requests
  • Interpreting responses and standard error codes
  • Navigating and understanding API documentation
• Basic understanding of networking fundamentals, including the TCP/IP model
• Experience working with databases, both SQL and NoSQL
  • Familiarity with basic SQL queries and commands
• Knowledge of and experience with data warehouse infrastructure, such as Snowflake, Databricks, BigQuery, and Amazon Redshift
• Ability to read and analyze logs to investigate and identify issues
• Comfortable navigating GitHub and submitting Pull Requests
• Strong, process-oriented troubleshooting and problem-solving skills
• Ability to thrive in a highly collaborative, global team environment

#LI-HYBRID #LI-EM1

About the Role

Fivetran is building data pipelines to power the modern data stack for thousands of companies. We’re looking for a Customer Support Engineer for our API Connector Team. At Fivetran, our Customer Support Engineers (CSEs) take on exciting technical challenges while partnering with internal and external stakeholders to drive issues to a timely resolution. As a Support Engineer, you will partner with some of the most passionate teams in the world, our customer teams, to deliver a best-in-class experience. Through a collaborative and holistic approach that is focused on the resolution and prevention of issues, our CSEs as our customer’s technical champion within Fivetran.

This is a full-time, hybrid position based out of our Denver or Oakland office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team.

What You’ll Do

• Provide virtual technical support to Fivetran customers and partners.
• Work closely with Fivetran customers and other stakeholders to ensure high customer satisfaction and timely resolution of reported issues.
• Investigate and Troubleshoot technical issues within the Fivetran environment using logs, internal/external tools, and foundational knowledge of our product and technologies.
• Work closely with Fivetran’s Dev team to identify and resolve bugs and issues impacting Fivetran customers.
• Become a Subject Matter Expert on the Fivetran API Connectors and related technologies.
• Document any known or newly identified solutions in our knowledge base and share this knowledge across the team.
• Collaborate with teammates on technical and non-technical projects.
   

Skills We’re Looking For

• 2+ years of relevant professional experience
• Strong customer advocacy skills, demonstrated over email and on video calls or screen shares
• Excellent written and verbal communication skills in English
• Experience troubleshooting APIs, including:
  • Making API requests
  • Interpreting responses and standard error codes
  • Navigating and understanding API documentation
• Basic understanding of networking fundamentals, including the TCP/IP model
• Experience working with databases, both SQL and NoSQL
  • Familiarity with basic SQL queries and commands
• Knowledge of and experience with data warehouse infrastructure, such as Snowflake, Databricks, BigQuery, and Amazon Redshift
• Ability to read and analyze logs to investigate and identify issues
• Comfortable navigating GitHub and submitting Pull Requests
• Strong, process-oriented troubleshooting and problem-solving skills
• Ability to thrive in a highly collaborative, global team environment

#LI-HYBRID #LI-EM1

About the Role

Fivetran is the one platform for moving the world’s data from every source to every destination to power every innovation.

To support our growth, our Product Growth Partners (PGPs) are central to Fivetran’s self-service motion, enabling thousands of customers to succeed at scale. PGPs design and deliver many-to-1 enablement programs, proactively reduce friction for self-service users, and intervene with precision when accounts need additional guidance. PGPs ensure that customers who can self-serve do so seamlessly, while those who need help receive the right support at the right time.

This is a full-time, hybrid position based out of our Denver, CO office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team.

What You'll Do

• Accelerate Self-Service Success
  • Guide new trial users and existing customers to value through scalable programs such as webinars, office hours, and educational sessions.
  • Direct customers/prospects to resources (help docs, videos, automations) that resolve blockers without requiring 1:1 intervention.
• Deliver Targeted Customer Interventions
  • Identify accounts showing clear setup friction or usage blockers and step in with qualified, high-value interventions.
  • Drive trial-to-paid conversions where PGP guidance removes obstacles and enables customers to commit to a paid plan.
• Run Many-to-1 Programs
  • Design, host, and optimize scalable programs (hands-on labs, “best practice” webinars, AMA sessions) that drive activation, adoption, and expansion at scale.
  • Measure program reach, engagement quality, and downstream business impact (trial conversion, connector expansion, MAR growth).
• Enable Expansion Readiness
  • Identify accounts with expansion potential (new connectors, workloads, or use cases) and surface them for sales or CSM follow-up when appropriate.
  • Share preventative guidance to reduce drop-offs and ensure smooth adoption as accounts scale.
• Advocate for Customers
  • Capture customer insights and funnel them back to product, engineering, and marketing teams to improve self-service experiences.
  • Build scalable resources (guides, templates, content) that multiply across the customer base.
• Handle Reactive Needs
  • Support “lights-on” requests (low-touch commercial tasks, small contract adjustments, billing/account escalations) efficiently and effectively.
     

Skills We're Looking For

• Experience: 1–2 years in customer success, product support, enablement, or similar role.
• Customer-Centric Mindset: Ability to diagnose customer friction points and provide clear, scalable solutions.
• Technical Proficiency: Foundational knowledge in SQL, APIs, cloud data warehouses (Snowflake, Databricks, BigQuery, Redshift), and basic data ELT concepts. 
• Program Builder: Experience running group enablement (webinars, labs, training, or community events) preferred.
• Analytical Skills: Comfortable using CRM and product analytics to identify usage patterns, triggers, and opportunities.
• Collaboration: Proven ability to partner with cross-functional teams (product, sales, support, RevOps) to improve customer outcomes.
• Communication: Strong written and verbal communication skills for both 1:1 and many-to-1 interactions.
• Adaptability: Thrives in an environment where success is measured by customer outcomes and scalable impact, not quota attainment.

#LI-Hybrid #LI-LW1

P-1545

• Build a territory plan by 30 days with a clear account prioritization strategy.
• Align both new and existing customers with the Lakehouse vision and ecosystem.
• Be able to range from faster transactions to large strategic 7 figure deals.
• Meet and exceed activity, pipeline, and revenue targets; you will be expected to prospect and generate pipeline in this role.
• Maintain clear Salesforce and Clari hygiene including use case, MEDDPICC, revenue forecasts, and account notes.
• Lead with a customer first mindset and focus on business value.

• 1+ years of closing experience, carrying a direct revenue quota.
• Prior experience in big data, Cloud, or SaaS sales.
• Be able to quickly learn new technologies and value proposition.
• Experience exceeding sales KPIs and quotas.
• Success closing new accounts while working existing accounts.
• Proficiency in MEDDPICC.
• A proven history of exceeding annual revenue targets.
• Consistent top performer with a history of internal promotion.

About the Opportunity

We are seeking a Senior Software Engineer to design, build, deploy, monitor, and optimize production-ready ML services in regulated healthcare. You will work hands-on to package, test, orchestrate, deploy, and maintain ML models, improve workflows, and implement CI/CD and automated testing to ensure reliability, performance, and faster delivery of business value.

Responsibilities

• Design, build, and deploy scalable AI/ML services with clear service boundaries, making pragmatic trade-offs across performance, maintainability, security, and long-term extensibility.

• Own full lifecycle delivery of complex features from architectural planning and API design to implementation and post-release observability.

• Define and enforce robust verification and validation for AI services including unit, integration, and end-to-end testing to ensure reliability of code in production and compliance with our Quality Management System and regulatory standards. 

• Integrate CI/CD and MLOps practices for automated model builds, testing, and deployment.

• Translate product requirements into well-defined technical designs proactively shaping implementation details.

• Contribute to the necessary technical documentation required for regulatory submissions.

• Collaborate cross functionally to reduce knowledge silos and ensure continuity in critical systems through cross-training and documentation. 

Requirements

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related field

• 7+ years of software engineering experience, with expertise in AI production systems (Python, PyTorch) and data services (SQL, Postgres, NoSQL, Redis or similar).

• Experience with unit, integration testing for ML models, including data validation, correctness checks, and reproducibility.

• Experience with CI/CD, Orchestration tools (Airflow, MLflow, Kubernetes, Terraform) and ML/data platforms(SageMaker, Databricks, Unity Catalog, Snowflake/Snowpark) to build scalable ML data pipelines and model workflows.

• Strong collaboration skills to work effectively with ML scientists, engineers, and regulatory teams.

• Comfortable operating in ambiguity and driving clarity across product, engineering, and business stakeholders.

This role is eligible for a 15% target annual bonus, resulting in the following base salary and Total Target Compensation (TTC) ranges:

• Base Salary: $153,000 - $179,000
• TTC: $176,000 - $206,000

*Total Target Compensation (TTC): Total Cash Compensation (including base pay, variable pay, commission, bonuses, etc.) Additionally, stock options, paid benefits, and employee perks are part of your total rewards.

About the Opportunity

We are seeking a senior machine learning software engineer to design, build, deploy, monitor, and optimize production-ready ML services in regulated healthcare. You will work hands-on to package, test, orchestrate, deploy, and maintain ML models, improve workflows, and implement CI/CD and automated testing to ensure reliability, performance, and faster delivery of business value.

Responsibilities

• Collaborate with AI scientists to package and deploy ML models, ensuring reproducibility, versioning, and compliance.
• Build and maintain model serving infrastructure including monitoring, drift detection, automated retraining, and logging.
• Implement unit, integration, and system-level testing for ML models, covering data validation, model correctness, and deployment workflows.
• Develop and operate end-to-end ML pipelines: ingestion → preprocessing → feature engineering → evaluation → deployment → monitoring.
• Integrate CI/CD and MLOps practices for automated model builds, testing, and deployment.
• Identify and resolve workflow inefficiencies or gaps between research and production.
• Recommend and integrate frameworks, libraries, and infrastructure to improve pipeline efficiency, maintainability, and observability.
• Collaborate cross-functionally to ensure compliance with regulatory requirements (FDA/HIPAA) in production ML workflows.
  
  

Requirements

• 7+ years of experience in software engineering for ML production or ML platform delivery.
• Hands-on experience deploying ML models via APIs, batch pipelines, or streaming inference.
• Proficiency in Python (required), Java, or similar, with software engineering best practices for ML workflows.
• Experience with unit, integration, and pipeline-level testing for ML models, including data validation, correctness checks, and reproducibility.
• Familiarity with cloud platforms (AWS preferred: SageMaker, S3, EC2) and reproducible ML pipelines.
• Experience with CI/CD, Orchestration tools (Airflow, MLflow, Kubernetes, Terraform) and ML/data platforms(SageMaker, Databricks, Unity Catalog, Snowflake/Snowpark) to build scalable ML data pipelines and model workflows.
• Strong collaboration skills to work effectively with AI scientists, software engineers, and regulatory teams.

The base salary range for this role varies by location and is aligned to market benchmarks.

• Candidates located in higher-cost labor markets, including California, Washington, New York, New Jersey, Connecticut, Massachusetts, and Washington, DC represent the middle to high end of the range, while candidates located in all other U.S. locations represent the low to middle end of the range.
• Final compensation is determined based on location, experience, skills, and internal equity.

This role is eligible for a 15% target annual bonus, resulting in the following base salary and Total Target Compensation (TTC) ranges:

• Base Salary: $153,000 - $179,000
• TTC: $176,000 - $206,000

*Total Target Compensation (TTC): Total Cash Compensation (including base pay, variable pay, commission, bonuses, etc.) Additionally, stock options, paid benefits, and employee perks are part of your total rewards.

About the team/role

We're seeking an experienced Staff Data Engineer to join our Data Platform team. This team plays a crucial role in our mission by developing and maintaining scalable data platforms for fair and safe hiring decisions.

As a Staff Data Engineer on the Data Platform team, you'll work on Checkr’s centralized data platform, critical for the company's vision. The centralized data platform is the heart of all key customer facing products. You will work on high-impact projects that directly contribute to the next generation products. 

What you’ll do:

• Architect, design, lead and build end-to-end performant, reliable, scalable data platform.
• Be an independent individual contributor who can solve problems and deliver high-quality solutions without oversight and a high level of ownership.
• Mentor, guide and work with junior engineers to deliver complex and next-generation of features. 
• Bring a customer-centric, product-oriented mindset to the table - collaborate with customers and internal stakeholders to resolve product ambiguities and ship impactful features
• Partner with engineering, product, design, and other stakeholders in designing and architecting new features
• Experimentation mindset - autonomy and empowerment to validate a customer need, get team buy-in, and ship a rapid MVP
• Quality mindset - you insist on quality as a critical pillar of your software deliverables
• Analytical mindset - instrument and deploy new product experiments with a data-driven approach
• Architect, lead and build a performant, reliable, scalable data platform.
• Monitor, investigate, triage, and resolve production issues as they arise for services owned by the team
• Create and maintain data pipelines and foundational datasets to support product/business needs.
• Design and build database architectures with massive and complex data, balancing with computational load and cost
• Develop audits for data quality at scale, implementing alerting as necessary
• Create scalable dashboards and reports to support business objectives and enable data-driven decision-making
• Troubleshoot and resolve complex issues in production environments

What you bring:

• 10+ years of designing, implementing and delivering highly scalable and performant data platform.
• Experience building large-scale (100s of Terabytes and Petabytes) data processing pipelines - batch and stream
• Experience with ETL/ELT, stream and batch processing of data at scale
• Expert level proficiency in PySpark, Python, and SQL
• Expertise in data modeling, relational databases, NoSQL (such as MongoDB) data stores
• Experience with big data technologies such as Kafka, Spark, Iceberg, Datalake, and AWS stack (EKS, EMR, Serverless, Glue, Athena, S3, etc.)
• An understanding of Graph and Vector data stores (preferred)
• Knowledge of security best practices and data privacy concerns
• Strong problem-solving skills and attention to detail
• Experience/knowledge of data processing platforms such as Databricks or Snowflake.

What you get:

• A fast-paced and collaborative environment
• Learning and development allowance
• Competitive cash and equity compensation and opportunity for advancement
• 100% medical, dental, and vision coverage
• Up to $25K reimbursement for fertility, adoption, and parental planning services
• Flexible PTO policy
• Monthly wellness stipend

#LI-TD1

About the Role

We are seeking a strong Senior Data Engineer to build and maintain scalable, high-quality data pipelines powering Checkr’s centralized data platform. As a Senior Engineer, you will independently deliver complex features, contribute to system design, and collaborate with cross-functional partners to support the next generation of our data products.

What You’ll Do

• Independently design and implement complex batch and streaming pipelines using PySpark, SQL, and AWS services.
• Navigate ambiguity with guidance, translating high-level direction into well-scoped, high-quality technical solutions.
• Work cross-functionally with product, design, analysts, and engineers to ship impactful features and improve data workflows.
• Contribute to architectural discussions and system improvements without owning long-term strategy.
• Ensure pipeline reliability and data quality, implementing testing, monitoring, and observability best practices.
• Investigate and resolve production issues for services owned by the team.
• Write performant, maintainable code that aligns with engineering standards.
• Support the team in building foundational datasets that enable analytics, ML, and customer-facing features.

What You Bring

• 6–7+ years of experience in data engineering with strong hands-on execution ability.
• Proficiency with PySpark, Python, and SQL, including debugging and performance optimization.
• Experience building large-scale pipelines (up to terabytes or larger), with exposure to streaming systems such as Kafka.
• Strong knowledge of data modeling, relational databases, and NoSQL stores.
• Experience with AWS services such as EMR, Glue, Athena, Lambda, and S3.
• Exposure to Iceberg or other lakehouse technologies (nice to have).
• Understanding of security and data privacy fundamentals.
• Strong problem-solving skills, attention to detail, and ability to execute independently.
• Knowledge of Databricks, Snowflake, or Graph/Vector stores is a plus.

GAQ227R179

Location: We're looking to hire for this role locally to our offices based in Washington D.C., Denver, Bellevue, or Seattle. This will be a hybrid role with in-office expectations.

Databricks is looking for an experienced commercial attorney to join Databricks' growing commercial and go-to-market legal team. As Legal Counsel, you will be joining a team of legal professionals responsible for reviewing and negotiating customer agreements and providing legal support for Databricks' revenue-generating activities. You will report to the Director & AGC, Commercial Legal.

You have 4+ years of relevant commercial legal transactional experience with a focus on complex technology transactions. You have meaningful experience negotiating SaaS commercial transactions and strong knowledge/experience counseling on legal issues related to data privacy, information security, artificial intelligence, and intellectual property, including open source software.

The impact you will have:

• Become an important member of the commercial and go-to-market legal team responsible for reviewing and negotiating commercial customer agreements. Focus on balancing/mitigating risk for the company while continuing to enable our rapid revenue growth.
• Cultivate strong relationships with field sales by providing sound, strategic counsel to close sales transactions and support ongoing go-to-market efforts.
• Help maintain and update our legal agreements, ensuring that terms and internal policies are positioned to continue enabling rapid revenue growth and maintaining long-term stability for the company.
• Serve as a solutions-oriented business partner by providing pragmatic, sound legal counsel to internal Databricks clients and our growing customer base based on your understanding of Databricks' technology, product portfolio, information security architecture, and data privacy/compliance policies.
• Work cross-functionally with our business partners (e.g., Finance, Information Security, Product, and Privacy) to align, communicate, and enforce applicable policies and controls to our global contracting processes.

What we look for:

• Minimum of four (4) years of technology transactions experience either at a law firm and/or in-house Attorney role.
• Relevant commercial transactional experience working for and/or supporting cloud-based software companies, including an understanding of consumption/commit-based business models and the quarterly sales cadence.
• Demonstrated experience drafting, negotiating, and closing complex software sell-side transactions and a strong understanding of contractual issues related to information security, data privacy, artificial intelligence, and intellectual property, including open source software.
• Proven ability to successfully navigate and counsel on complex legal issues while balancing and/or mitigating material risk.
• Able to prioritize competing demands and be responsive to client expectations in a fast-paced environment within a limited time period.
• Outstanding written and verbal communication skills.
• Growth mindset, strong attention to detail, excellent critical thinking, and problem-solving abilities.
• Teaming approach with a focus on building a strong interlock with clients, business partners, and key stakeholders.
• JD and good standing to practice law in the relevant jurisdiction

GAQ426R237

While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.

Overview:

Databricks is seeking a Senior Manager, Finance PMO and Operations, with a specialized focus on FP&A. You will be responsible for driving organization, transformation, innovation, and operational efficiency at scale, as well as managing key programs across global Finance teams within the CFO organization and with our cross-functional stakeholders. You will interface with leadership to ensure transparency and visibility into our programs and projects.

You will partner with teams across the Finance organization, including various FP&A teams (Corporate, GTM, Product, etc.) and partners within the broader CFO org. In addition, you will collaborate with cross-functional teams such as IT, People, Engineering, Product, Go-to-Market, and Pricing. You will own project and program management, including OKR setting, process optimization, transformation roadmaps, and organizational management and communications on behalf of the FP&A team. 

Your passion should be collaborating with FP&A and other cross-functional partners to drive programs for efficiency and transformative change across the Finance organization. The ability to plan and execute effectively while collaborating across teams and locations will be key to success in this role. In this role, you will remove friction for the Finance team by developing organization-wide standards, leading programs, including communications, reporting, and metrics, optimizing processes, and driving technology improvements. You will also leverage AI and emerging technologies to improve Finance workflows and optimize our team’s work, enabling smarter decision-making, predictive insights, and scalable automation across core Finance processes.

The impact you will have:

• FP&A Project and Program Management:
• Facilitate the annual FP&A goal and OKR setting process and track/drive the execution of those goals
• Streamline and own planning, intake, and prioritization processes across FP&A on key priorities related to Data and AI, systems enhancements and process improvements, ensuring alignment with the Company and Finance team’s goals and strategy
• Manage multiple complex, cross-functional programs, including working with stakeholders from IT, Engineering, Sales, and other Finance teams
• FP&A Process Optimization:
• Collaborate with FP&A teams to document and evaluate existing FP&A processes
• Drive end-to-end FP&A process optimization and standardization, leading the re-architecting of processes as necessary ensuring success criteria and metrics are achieved, and stakeholder enablement is completed
• Partner with cross-functional and internal Finance teams to implement scalable, automated solutions leveraging our Databricks product as well as AI and machine learning tools where applicable
• FP&A Organizational Management and Communications:
• Support the design and buildout of an FP&A organization that supports Databricks’ growth
• Facilitate recurring FP&A leadership meetings and FP&A all-hands meetings, including creating agendas and content
• Lead executive communications and reporting to ensure transparency on project progress, risks, and outcomes

What we look for:

• Bachelor’s degree in Business, Finance, or related field
• 8+ years of experience working in or with FP&A teams
• 8+ years of experience leading cross-functional projects and programs with demonstrated success in process optimization and automation
• Expertise in program management, executive communications, reporting, and metrics
• Experience implementing or managing AI and automation tools within Finance organizations
• Expertise in planning, OKRs, and QBRs
• Experience in process improvement and optimization
• Proficiency with JIRA, project management tools, and reporting systems
• SaaS industry experience is a plus
• SQL or Python experience is a plus
• Expert-level presentation skills, including the ability to develop impactful presentations using Google Slides

CSQ127R318

As a Big Data Solutions Architect (Resident Solutions Architect) in our Professional Services team you will work with clients on short to medium term customer engagements on their big data challenges using the Databricks platform. You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data. RSAs are billable and know how to complete projects according to specification with excellent customer service. You will report to the regional Manager/Lead.

The impact you will have:

• You will work on a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to's and productionalizing customer use cases
• Work with engagement managers to scope variety of  professional services work with input from the customer
• Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications
• Consult on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks.
• Provide an escalated level of support for customer operational issues.
• You will work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs.
• Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.

What we look for:

• 6+ years experience in data engineering, data platforms & analytics
• Comfortable writing code in either Python or Scala
• Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one
• Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals
• Familiarity with CI/CD for production deployments
• Working knowledge of MLOps 
• Design and deployment of performant end-to-end data architectures
• Experience with technical project delivery - managing scope and timelines.
• Documentation and white-boarding skills.
• Experience working with clients and managing conflicts.
• Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects.
• Travel to customers 20% of the time
• Databricks Certification

GAQ127R55

Location: This position will be based in Seattle, Bellevue, Denver, or Chicago.  This will be a hybrid role with in-office expectations. 

About the Role:

Databricks is seeking a Sr. Contracts Negotiator to support our growing Healthcare and Life Sciences (HLS) commercial business. Reporting to the Director, Assistant General Counsel, you will negotiate and close complex commercial transactions with HLS customers, including Master Cloud Services Agreements (MCSAs), Business Associate Agreements (BAAs), Data Privacy Agreements, NDAs, Statements of Work, and Order Forms, often addressing topics such as data privacy, information security, intellectual property, and emerging technologies, including AI.

This role is ideal for someone who loves commercial transactions, excels at navigating complex contract issues, and takes pride in helping close strategic, high-impact deals that move the business forward in a fast-paced, collaborative environment.

What You Will  Do

• Negotiate, draft, and close commercial agreements (including MCSAs, Order Forms, and BAAs) with HLS customers, ensuring compliance with company policies, data privacy, information security, and applicable healthcare regulations.
• Support assigned Attorneys on complex or strategic transactions and assist in driving deal execution for key accounts.
• Partner with Sales, Finance, Product, and Compliance teams to facilitate revenue-generating transactions while managing legal and commercial risk.
• Triage and manage incoming contracting requests using Databricks’ contract lifecycle management (CLM) tools, ensuring timely review, accurate routing, and collaboration with cross-functional stakeholders to resolve issues efficiently.
• Streamline contracting processes and workflows, and contribute to improving templates and HLS-specific playbooks to support scale and consistency.
• Advise on commercial and operational risks by developing subject-matter expertise in HLS customer transactions and Databricks’ contracting framework.
• Contribute to Legal team OKRs and strategic initiatives, including contract lifecycle management enhancements and cross-functional projects.

Who you Are

• Bachelor’s degree or equivalent.
• 5+ years of commercial contract negotiation experience, ideally supporting sales teams at cloud-based or SaaS technology companies.
• Familiarity with healthcare and life sciences regulatory frameworks, including HIPAA compliance, Business Associate Agreements (BAAs), and related data privacy and information security requirements.
• Strong attention to detail, excellent critical thinking, and problem-solving abilities.
• Process-oriented mindset with experience improving contracting workflows and driving operational efficiency.
• Effective communicator with the ability to build strong relationships and collaborate across internal teams and with customers.
• Proactive, organized, and dependable — you take initiative, communicate early and clearly, and keep cross-functional partners informed as deals progress.
• A fast learner who’s curious about Databricks’ products and not afraid to ask questions or seek guidance from colleagues when tackling complex issues.

GAQ426R79

About the Team
The mission of Databricks Legal is to apply legal resources and expertise to help Databricks achieve its growth and strategic objectives, while thoughtfully protecting Databricks with a reasonable balance of risk versus opportunity.

What we look for
Databricks is looking for an experienced Proposal Coordinator to support the Global Proposal Program Manager with accelerating field sales and Databricks’ go-to-market efforts. The Proposal Coordinator will report into Databricks' Legal Operations Leadership and will be an important part of the team responsible for providing legal support for Databricks' revenue-generation activities. Specific responsibilities include responding to a variety of international and U.S. customer questionnaires, RFQs, RFIs, registration, supplier, and onboarding forms, and the like – for new and current customers.

The successful candidate will also manage a queue for the questionnaires and other requests, including pulling in subject matter experts. There might also be an opportunity to work with the Global Proposal Program Manager on RFPs, via an intake program/process. The ideal candidate will be an expert at coordinating with cross-functional teams and subject matter experts worldwide to ensure timely and compelling responses that align with Databricks’ global strategy, compliance requirements, and internal policies. 

We are also looking for someone with commercial GenAI-driven automated strategic response management experience, including automation for streamlining the answer process; creating and/or maintaining a knowledge base of questions and answers; and creating enablement focused on educating internal customers (e.g., field sales) on the program/process. As the Global RFx program evolves, so will the role and responsibilities. 

The impact you will have

• You will coordinate with customer questionnaire teams, collaborate closely with internal and external stakeholders, and deliver high-quality content and compelling responses.
• You will help track questionnaires and proposals (e.g., downselection rate for RFx, revenue impact, on-time/SLA completion rate, questionnaire types, revenue impact), identify areas for improvement, and refine future response strategies.
• You will demonstrate excellent project management, and an ability to coordinate efforts across multiple stakeholders, teams, and regions.
• You are expected to manage multiple assignments simultaneously while maintaining a high standard of quality and meeting tight deadlines.

• You routinely identify and recommend opportunities to change and improve ways of working.
• You are a bar raiser, constantly looking to improve standards within the team, such as by creating and implementing new approaches in standardizing proposal/customer questionnaire response formats and updating guidelines to streamline  process and quality across different regions.

What we look for

• Outstanding interpersonal and communication skills
• Three or more years of experience working as the primary proposal management resource for RFx, due diligence questionnaires, and vendor onboarding questionnaires. 
• Experience with pre-sales, sales operations, and/or deal desk; experience within a commercial team is a plus.
• Bachelor's degree or equivalent.
• Demonstrable experience with supporting RFx programs, including knowledge of public sector programs.
• Familiarity with analyzing RFx and questionnaire requests to create tailored, compelling responses.
• Strong understanding of the tools used by in-house commercial legal teams to facilitate the contracting process for revenue, including tools used for contract generation and routing (e.g., SFDC, CPQ, and CLM), and signatures (e.g., DocuSign).
• Strong project management skills.
• Excellent written and verbal communication.
• Ability to work effectively with cross-functional teams across diverse cultures.
• Strategic thinking and problem-solving abilities.
• Familiarity with relevant industry regulations and compliance requirements.
• Proficiency with proposal management software.

P-1445

As a Startup Account Executive at Databricks, you get to work with some of the most exciting, disruptive companies using data to change the world. You are creative and self-motivated with experience running both transactional and strategic sales processes. You know how to sell innovation and change through customer vision expansion and can guide deals forward to compress decision cycles. You love understanding a product in-depth and are passionate about communicating its value to customers and partners. Always prospecting for new opportunities, you will close new accounts while expanding existing accounts. Along with the chance to close exciting deals, we also offer accelerators above 100% quota accomplishment. You will report to a regional sales manager.

The impact you will have:

• Build a territory plan by 30 days with a clear account prioritization strategy.
• Align both new and existing customers with the Lakehouse vision and ecosystem.
• Be able to range from faster transactions to large strategic deals.
• Meet and exceed activity, pipeline, and revenue targets; you will be expected to prospect in this role.
• Maintain clear Salesforce and Clari hygiene including use case, MEDDPICC, revenue forecasts, and account notes.
• Lead with a customer first mindset and focus on business value

What we look for:

• 1+ years of closing sales experience
• Prior experience in big data, Cloud, or SaaS sales
• Be able to quickly learn new technologies and value proposition
• Experience exceeding sales KPIs and quotas
• Success closing new accounts while working existing accounts

Key Responsibilities

Skills, Knowledge and Expertise

Requirements

ABOUT ROCKET MONEY🔮

Rocket Money’s mission is to meaningfully improve the financial prosperity of millions of people. Rocket Money offers members a unique understanding of their finances and a suite of valuable services that save them time and money – ultimately giving them a leg up on their financial journey.

Please note: We strongly encourage team members to be in the office 1-2 days per week, though there is no formal in-office requirement.

ABOUT THE TEAM 🤝

Analytics Engineers at Rocket Money further our mission by helping our company understand our users and products through the lens of data. We build data models that uncover how our customers interact with our products, generate cashflows, and traverse our user experiences. We work with our product and engineering teams to understand the data our applications generate, model it in useful, understandable ways, and make that data available for efficient insight generation.

Our team values:

• Collaboration - We're team players who excel at cross-functional partnership with product and engineering teams
• Impact - We transform raw data into strategic insights that drive business decisions
• Growth - We continuously refine our craft while supporting each other's professional development

We're growing our team and are looking for an Analytics Engineering Team Leader who is committed to building an equitable, healthy work environment where team members thrive. In this role, you'll elevate our Analytics Engineering practice, mentor talented engineers, be a hands on contributor to our dbt and LookML code bases, and champion data-driven decision making across the organization. You'll help shape how Rocket Money uses data to understand our customers and products while building a world-class team.

Our Tech Stack: BigQuery, dbt, Looker, Amplitude, Fivetran, Datadog, git, Deepnote

IN THIS ROLE, YOU'LL:

• Own ambitious yet achievable quarterly roadmaps that drive our business forward by building tooling that allows the team to deliver faster, more consistent work and directing cross-team analytics efforts that inform strategy.
• Lead and manage a team of 4-6 analytics engineering professionals, creating processes for autonomous operation with cross-functional teams while maintaining high quality standards and accountability and supporting individual growth.
  • Evolve team development standards, including technical skill frameworks, career ladders, and learning pathways. Create a culture of continuous improvement through code reviews, knowledge sharing sessions, and mentorship programs that elevate the entire team's capabilities.
  • Champion data quality and attention to detail as core team values, establishing review processes and quality gates that ensure the accuracy and reliability of analytics outputs while still shipping iteratively and building stakeholder trust through visible progress.
• Foster strong working relationships with other leaders at the company, advocating for your team's involvement at the right time and driving high quality analytics delivery across teams.
• Address problems with performance directly and make decisions based on what's best for our users, team members, and business. Create highly functional teams and processes that make best use of data analytics resources.
• Be accountable for making, measuring, and delivering on team commitments, as well as pivoting when necessary to keep the team focused on the most impactful work.
• You're energized by problems that don't come with clearly defined requirements, and you know how to work with stakeholders to scope what's actually measurable.

ABOUT YOU 🦄

Technical Leadership

• You have hands-on experience with the modern analytics stack (e.g., dbt, Snowflake/BigQuery, Looker/Tableau/Databricks/Omni) and can guide technical decisions while establishing quality standards and review processes that ensure data accuracy.
• You have deep expertise in analytics engineering and a strong understanding of data systems and processes, especially delivery of maintainable/scalable models that meet stakeholder needs and support self service. You have experience implementing analytics engineering best practices (version control, testing, documentation, CI/CD) and can balance delivery speed with analytical rigor.
• You have strong software engineering fundamentals and the curiosity to dive into application codebases to understand data generation at its source. You believe analytics engineers should understand the full data lifecycle - from how events are instrumented in production code to how they're modeled in the warehouse.

Strategic & Business Acumen

• You can translate business objectives into technical roadmaps and have experience building self-service analytics strategies that scale across organizations.
• You lead a team that gets ahead of the business, building tooling and documentation so stakeholders can answer their own questions without waiting on a ticket.

People Leadership

• You have 5+ years of experience managing analytics engineering professionals. You've successfully led a team of embedded professionals and know how to cultivate a culture of autonomy within cross-functional teams.
• You can tailor your management style to suit your employees, identifying where some people might succeed with a more hands-off approach than others. You're passionate about developing talent and have a track record of building career frameworks, implementing mentorship programs, and helping analytics engineers grow from mid-level to senior roles.

Communication & Collaboration

• You excel at stakeholder management and can build effective relationships across the organization. You self-organize a peer group to gain feedback.
• You're an exceptional communicator who can explain complex data concepts to non-technical stakeholders and advocate for data-driven decision making at the executive level.

Growth Mindset

• You want to continue to grow and learn. You are excited by hard problems and big challenges.
• Experience in fintech, banking, or finance is a plus.

WE OFFER 💫

• Health, Dental & Vision Plans
• Life Insurance
• Long/Short Term Disability
• Competitive Pay
• 401k Matching
• Team Member Stock Purchasing Program (TMSPP)
• Learning & Development Opportunities
• Tuition Reimbursement
• Unlimited PTO
• Daily Lunch, Snacks & Coffee (in-office only)
• Commuter benefits (in-office only)

Additional information: Salary range of $170,000 - $220,000/year + bonus + benefits. Base pay offered may vary depending on job-related knowledge, skills, and experience.

Rocket Money is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

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

About the Opportunity

We are seeking an experienced  Staff Machine Learning Engineer to architect, scale, and advance our machine learning platforms that bridge AI innovation and production in regulated healthcare. In this high-impact role, you will define and implement core platform capabilities, enabling scalable, secure, and compliant deployment of ML models that directly impact the care pathway for heart disease diagnosis and prognosis. You will tackle complex engineering challenges across end-to-end ML pipelines, ensuring reproducibility, efficiency, and compliance while driving the technical evolution of the platform.

About the Team

The AI Software Engineering team translates advanced ML models into production-ready, scalable solutions that directly impact the care pathway for heart disease diagnosis and prognosis. Working closely with AI scientists, software engineers, and regulatory teams, the team ensures models and ML workflows integrate seamlessly into clinical and product systems while maintaining reproducibility, compliance, and high performance. The team drives continuous improvements in efficiency, throughput, and infrastructure utilization, delivering reliable, scalable AI services that advance the accuracy and impact of Cleerly’s regulated products.

Responsibilities

• Architect and develop scalable AI/ML platforms and end-to-end pipelines, covering data ingestion, preprocessing, model training, evaluation, deployment, monitoring, drift detection, and automated retraining, while ensuring reproducibility, compliance with FDA/HIPAA, and alignment with organizational and regulatory goals.
  
  
• Optimize and operationalize production ML systems, including monitoring, drift detection, automated retraining, and workflow execution, to achieve high performance, reliability, scalability, and regulatory adherence.
  
  
• Evolve the ML stack through integration and refinement of frameworks, libraries, and infrastructure, improving system efficiency, maintainability, and the ability to support clinical ML workflows.
  
  
• Ensure operational readiness of ML pipelines and platforms, verifying data quality, throughput, reproducibility, and compliance across production workflows.
  
  
• Drive improvements in processes, tooling, and collaboration to streamline the transition of ML models from research to production, enhancing efficiency, reproducibility, and compliance across the platform.
  
  

Requirements 

• 12+ years of experience (Bachelor’s; 8+ with Master’s; 5+ with PhD) designing, implementing, and optimizing AI and ML systems, ideally in regulated healthcare or clinical domains.
  
  
• Deep technical expertise in ML pipelines, distributed model serving architectures, and production ML lifecycle management, with a track record of solving high-impact system challenges.
  
  
• Proficiency in Python, Java, or similar, with extensive programming experience establishing reproducible ML workflows, coding standards, and software engineering best practices for AI/ML applications.
  
  
• Proficiency with ML infrastructure and orchestration tools (Kubernetes, Helm, Airflow) and data platforms (Snowflake, PostgreSQL, Airbyte), and building scalable pipelines that support ML data processing and model workflows.
  
  
• Advanced experience with AWS (including SageMaker and S3), ML infrastructure frameworks such as MLflow and Terraform, and exposure to platforms like Databricks, with a proven track record of implementing end-to-end ML systems and optimizing platform performance, scalability, and operational efficiency.
  
  
• Proven ability to influence technical approaches and operational practices in AI/ML workflows, elevating system efficiency, reproducibility, and reliability.
  
  
• Strong expertise in regulatory and compliance requirements for AI/ML (FDA, HIPAA), able to design systems that are inherently compliant, reproducible, and auditable. (Preferred)

The base salary range for this role varies by location and is aligned to market benchmarks.

• Candidates located in higher-cost labor markets, including California, Washington, New York, New Jersey, Connecticut, Massachusetts, and Washington, DC represent the middle to high end of the range, while candidates located in all other U.S. locations represent the low to middle end of the range.
• Final compensation is determined based on location, experience, skills, and internal equity.

This role is eligible for a 15% target annual bonus, resulting in the following base salary and Total Target Compensation (TTC) ranges:

• Base Salary: $175,000 - $201,000
• TTC: $200,000 - $231,000

*Total Target Compensation (TTC): Total Cash Compensation (including base pay, variable pay, commission, bonuses, etc.) Additionally, stock options, paid benefits, and employee perks are part of your total rewards.