Summary

As a primary architect of our financial systems, you will bridge the gap between sophisticated technical design and global business strategy to build a leading-edge digital ecosystem. This role offers the unique challenge of designing our next phase of automation, analytics, and AI in our business processes.

This is a high-impact opportunity to lead the evolution of our finance tech stack, ensuring our data and infrastructure empower the Wikimedia Foundation’s operations so that we can meet our vision of helping every human being freely share in the sum of all knowledge.

You are responsible for:

• Shaping, evolving, and championing the core finance systems strategy to improve accounting and finance operational workflows and promote automation.
• Developing and own a strategic 3-year finance system transformation roadmap that prioritizes initiatives based on business impact, feasibility, resource constraints, and evaluation criteria that measure the effectiveness of transformation initiatives against long-term Foundation goals.
• Driving end-to-end digital transformation of our workflows in collaboration with the business analysis, project management, IT Services teams, and subject matter experts.
• Leading cross-functional system transformation initiatives, serving as both strategist and hands-on project leader.
• Serving as the overall finance systems product owner, driving continuous improvement, proactively identifying inefficiencies, reducing manual work, and enhancing data accuracy and audit readiness.
• Proactively managing risks associated with ERP architecture and data integrity, ensuring that system evolutions do not disrupt business-critical financial activities or audit objectives.
• Driving collaborative decision-making and governance with senior leaders in IT, HR, Fundraising, and Security to execute system-related policies and internal controls, ensuring organization-wide compliance across global finance operations.
• Navigating complex, sensitive organizational shifts by influencing senior leadership and cross-functional stakeholders to adopt new technologies and process changes.
• Defining and owning adoption and success metrics for financial systems.
• Managing the budget and drive cost efficiency of our ERP systems.
• Acting as finance automation & AI lead for our financial workflows, identifying automation targets, improved analytics, and designing agentic workflows.
• Effectively leading a small ERP systems team of 2 direct reports who are responsible for managing multiple work streams and functional areas with dotted lines to other teams.  Ensuring the team meets goals, drives improvement, and develops professionally.

Skills and Experience:

Leadership and Collaboration

• 10+ years of progressive experience in finance transformation, ERP implementation, and systems improvement.
• Strong understanding of accounting and finance concepts; US GAAP principles; record-to-report, procure-to-pay, and other financial cycles.
• Ability to work effectively in a highly integrated working model, partnering deeply with other teams and subject matter experts to design solutions where boundaries overlap.
• Ability to lead workshops, including gathering and documenting business needs and use cases, and recommending envisioned processes.
• Experience delivering major transformation initiatives in waterfall and agile environments. 
• Proven track record in managing cross-functional systems teams. 
• Experience defining roadmaps, prioritizing backlogs, and delivering complex, multi-system changes.
• Able to communicate technical decisions in plain language to senior leadership and cross-functional audiences
• Skilled at working in a global, distributed, remote-friendly environment.

Technical and Architectural

• Direct experience designing and governing multi-tenant cloud enterprise architectures, including management of asynchronous data flows, API rates, and schema evolution between SaaS systems and data warehousing.
• Hands-on experience designing and implementing data pipelines to consolidate disparate data in end-to-end financial workflows.
• Deep understanding of finance processes and ERP systems (Sage Intacct, Coupa, Navan or similar).
• Understanding of non-profit data environments would be a plus.
• Experience defining integration strategy using knowledge of integration patterns and technologies (JSON/XML, REST/SOAP, webhooks), identity, and security controls.
• Knowledge of audit and compliance frameworks and the ability to map these to system configurations.
• Experience designing and implementing cloud data lake or data warehouse solutions in multi-tenant environments is a plus.

Qualities that are important to us:

• You enjoy collaborating with a range of stakeholders and value knowledge sharing. 
• You love solving problems and understand the connections between micro-decisions and macro systems. 
• You love using data and metrics to measure performance and to tell a story.
• You believe in the mission of the Foundation and are excited to refine tools, systems, ways of working to support that mission. 
• You are comfortable with ambiguity and are able to adapt to a rapidly changing business environment.
• You thrive in a results-oriented culture that favors collaborative decision making.
• You are a flexible and creative individual capable of managing multiple priorities and projects in a diverse environment.

About the Wikimedia Foundation

The Wikimedia Foundation is the nonprofit organization that operates Wikipedia and the other Wikimedia free knowledge projects. Our vision is a world in which every single human can freely share in the sum of all knowledge. We believe that everyone has the potential to contribute something to our shared knowledge, and that everyone should be able to access that knowledge freely. We host Wikipedia and the Wikimedia projects, build software experiences for reading, contributing, and sharing Wikimedia content, support the volunteer communities and partners who make Wikimedia possible, and advocate for policies that enable Wikimedia and free knowledge to thrive. 

The Wikimedia Foundation is a charitable, not-for-profit organization that relies on donations. We receive donations from millions of individuals around the world, with an average donation of about $15. We also receive donations through institutional grants and gifts. The Wikimedia Foundation is a United States 501(c)(3) tax-exempt organization with offices in San Francisco, California, USA.

As an equal opportunity employer, the Wikimedia Foundation values having a diverse workforce and continuously strives to maintain an inclusive and equitable workplace. We encourage people with a diverse range of backgrounds to apply. We do not discriminate against any person based upon their race, traits historically associated with race, religion, color, national origin, sex, pregnancy or related medical conditions, parental status, sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, or any other legally protected characteristics.

The Wikimedia Foundation is a remote-first organization with staff members including contractors based 40+ countries*. Salaries at the Wikimedia Foundation are set in a way that is competitive, equitable, and consistent with our values and culture. The anticipated annual pay range of this position for applicants based within the United States is US$136,760 to US$210,769 with multiple individualized factors, including cost of living in the location, being the determinants of the offered pay. For applicants located outside of the US, the pay range will be adjusted to the country of hire. We neither ask for nor take into consideration the salary history of applicants. The compensation for a successful applicant will be based on their skills, experience and location.

*Please note that we are currently able to hire in the following:
US States: Arizona, California, Colorado, Connecticut, District of Columbia*, Florida, Georgia, Idaho, Illinois, Indiana, Iowa, Maryland, Massachusetts, Michigan, Minnesota, Missouri, New Jersey, New Mexico, New York, North Carolina, Ohio, Oklahoma, Oregon, Pennsylvania, Puerto Rico*, Rhode Island, Tennessee, Texas, Utah, Vermont, Virginia, Washington, West Virginia, Wisconsin and Wyoming (*US Territory or Federal District)

Countries: Brazil, Canada, Colombia, France, Germany, Ghana, India, Indonesia, Italy, Kenya*, Mexico, Morocco, Netherlands, Poland, Singapore*, South Africa, Spain, Switzerland and the United Kingdom. Our non-US employees are hired through a local third party Employer of Record (EOR) and must have current work authorization in their location. (*citizens/permanent residents only)

We periodically review this list to streamline to ensure alignment with our hiring requirements.

All applicants can reach out to their recruiter to understand more about the specific pay range for their location during the interview process.

If you are a qualified applicant requiring assistance or an accommodation to complete any step of the application process due to a disability, you may contact us at recruiting@wikimedia.org or +1 (415) 839-6885.

More information

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Wikimedia 2030

What We Do:  

 At Autura, we’re revolutionizing the towing and recovery industry with cutting-edge software that makes a real difference for our customers. From towing service providers to local governments, our tools—like Towing Management Systems, ARIES Dispatch, and Impound solutions—are designed to simplify operations, boost safety, and drive success. Joining Autura means being part of a team that’s passionate about innovation, collaboration, and making the world a little safer and smarter every day. Ready to help us pave the way? 

About the Role 

Autura runs critical customer data across several platforms -- Salesforce, NetSuite, Zendesk, and ThoughtSpot -- and right now those systems don't talk to each other. That’s the challenge this internship is built around.  

As a Data Analytics Intern, you'll work directly with our team to help stitch that data together into a unified view. That means hands-on work in Snowflake as our data warehouse and ThoughtSpot for reporting, alongside the analysis and project coordination needed to get this off the ground. You'll be a real contributor to a meaningful initiative, not just pulling reports in the background. 

This is a good fit if you've had some exposure to working across multiple data systems, enjoy figuring out how disparate pieces connect, and want to build something you can point to when you're done. 

This role is a temporary remote internship reporting directly up to our CFO. We are open to 20-40 hours per week for the summer or as a COOP for 6 months. 

What You'll Be Doing 

• Support the design and buildout of a unified data layer in Snowflake, pulling from Salesforce, NetSuite, Zendesk, and other sources 

• Help document the current state of data across systems and identify gaps and integration opportunities 

• Build and maintain dashboards and reports in ThoughtSpot that surface key customer metrics (churn, CLTV, retention trends, support volume) 

• Clean, validate, and organize data from multiple source systems 

• Help develop and track a project plan for the broader data integration initiative 

• Communicate findings to internal stakeholders in a clear, visually appealing, business-ready format 

About You 

• Pursuing a degree in Data Science, Business Analytics, Statistics, Information Systems, or a related field 

• Comfortable with SQL; Python is a plus 

• Familiar with or curious about tools like Snowflake, ThoughtSpot, Salesforce, NetSuite, or Zendesk -- you don't need experience with all of them, but exposure to stitching data across systems is a strong signal 

• Able to look at a messy data problem and start asking the right questions 

• Proactive, organized, and able to work independently with a distributed team 

• Has examples of prior work -- a project, analysis, or dashboard you built -- that you can walk us through 
• Familiar with AI tools, ideally Claude

About the role

As a Data Analyst at Sporty, you’ll be mining through petabytes of data to provide key insights that drive core business decisions. You’ll create dashboards that are used on a daily basis by product managers, traders, and executives, as well as provide in-depth reports on various areas of the business with complete freedom on your methodology.

Furthermore, our analysts play a key role in ensuring the stability of our reporting infrastructure. They are vital in maintaining our ability to deliver accurate and consistent reporting to the various stakeholders. 

Our Stack

• MySQL
• Python
• AirFlow
• AWS
• Metabase
• Redshift
• Linux

What you'll be doing

• Analysing large and complex datasets to identify trends, patterns, and actionable insights that support business decision-making.
• Designing, defining, and monitoring  core business KPIs to evaluate product and operational performance.
• Partnering with product, marketing, and business teams to translate business questions into structured data analysis.
• Delivering clear, concise, and data-driven insights to stakeholders and shareholders through presentations and reports.
• Developing and maintaining dashboards and reporting frameworks that enable self-service analytics.
• Conducting ad hoc analysis to support strategic initiatives and emerging business needs.
• Ensuring data quality and integrity by validating datasets and collaborating with data engineering teams when needed.

What you'll bring

• 3+ years experience in a similar data-driven role 
• Excellent working knowledge of SQL 
• Familiarity with Python and a range of BI and data visualization tools
• Strong knowledge with ETL data pipelines
• Strong knowledge of A/B Testing
• Familiarity with Airflow
• Understanding of principles of relational databases and data warehouse 
• Strong understanding of sports and gaming will be beneficial 
• Proactive and self-driven with excellent analytical skills 
• Ability to thrive in a fast paced and dynamic environment 
• Great communication skills

Even better if you have

• Hands-on experience with machine learning
• Relevant knowledge or experience in the gaming industry
• Working knowledge of Python
• Experience with Airflow and Metabase

What’s in it for you

• Sporty is a remote first company in pursuit of sustainability
• A competitive salary + individual performance based bonuses every quarter
• 28 days paid annual leave
• Our core working hours are 10am-3pm in your local time zone with flexibility outside of this
• Referral bonuses & flash bonuses
• Top of the line equipment
• Annual company retreats to provide great internal networking opportunities

Interview Process

• Remote video screening with our Talent Acquisition Team 
• Offline Take home assignment
• Remote video interview with Team Members (90 Mins)

If you're interested, we encourage you to apply! Every application is reviewed by a member of our team (AI is not used in our recruitment process), and we aim to respond within 48 hours.

#LI-remote

Evoplay is one of the leading iGaming providers, recognized for its innovative approach to game development and technological solutions. The key to this success is the teamwork of like-minded people who are passionate about a common goal and love games.

Our mission is to surprise not only the iGaming market but the entire entertainment industry with our interesting and unique products. Our game portfolio of 150+ titles, where each is a unique and exciting story, is presented all over the world, including Europe, Latin America, Asia, and the CIS.

We are looking for a strong specialist who goes beyond data processing — someone who understands the business behind the data and can influence decisions through analytics. This role requires autonomy, fast learning, and full ownership of data quality and analytical outputs.

Requirements

• Advanced Python and SQL (query optimization, complex data transformations, large-scale data handling)
• Hands-on experience with ClickHouse or other columnar databases
• Strong background in building ETL/ELT pipelines (ingestion, transformation, orchestration). Experience with Airflow is a plus.
• Solid understanding of Data Warehouse architecture
• Strong Data QA skills (identifying and resolving data issues)
• Experience with Power BI (building and maintaining reports)
• Ability to quickly understand business logic and translate it into data models
• High attention to detail
• English — B2 or higher (working proficiency)

Nice to Have

• Experience with data governance implementation
• Experience in high-load systems
• Experience working with product and business teams

Responsibilities

• Own data quality: identify, analyze, and fix data issues
• Translate business processes into reliable data structures
• Build and optimize ETL pipelines
• Deliver clean and structured data for analytics and BI
• Handle AdHoc analytical requests under tight deadlines
• Maintain and improve Power BI reporting
• Automate repetitive tasks
• Provide analytical support
• Train users on BI tools

What we offer

• Corporate psychologist;
• Gifts for significant occasions;
• Legal support;
• Flexible working hours;
• Direct access to C-level and opportunity to suggest new business ideas and drive changes.

If you are ready to work in a dynamic team, passionate about the product, technology, and the world of entertainment, we’re waiting for your CV and portfolio to schedule an online/offline meeting and get to know each other better!

Your CV will be carefully reviewed by our TA department, and if it meets the requirements of the position, we will contact you within 3 business days to discuss the possibility of scheduling an interview.

We’re looking for a Product Manager, Growth & Analytics to join the Beeper team. You’ll own product execution for our growth initiatives, working directly with Beeper’s leadership team to figure out what makes users stick, what blocks them, and what makes them pay … and then do something about it.

Your instinct is to scope before you build, measure after you ship, and make sure every product has a clear answer at the end. You’re not the kind of PM who waits for someone else to pull the data. You write your own SQL, build your own dashboards, and use what you find to make better decisions. That analytical depth is what sets you apart.

In this role you will:

• Own the product process for growth. Specs, user stories, success criteria, experiment tracking: you keep it tight so engineering isn’t guessing at scope and leadership isn’t guessing at outcomes.
• Run experiments end-to-end. Hypothesis, spec, instrumentation, launch, results. You close the loop every time.
• Build and maintain the dashboards leadership relies on. Activation, retention, conversion, engagement: the numbers the team checks every week come from you.
• Investigate when metrics move. When activation drops or retention shifts, you’re the person who figures out why and what to do about it.
• Work with engineering and support to validate problems and confirm whether what we shipped actually worked.
• Keep product documentation current. Feature specs, release notes, internal reference docs: the stuff that keeps a distributed team aligned.

You’ll do well in this role if you:

• Have four to six years in product management, growth, or a closely related role where you owned product execution.
• Have strong SQL skills (CTEs, window functions, cohort analysis, funnel queries). This is a hard requirement, not a nice-to-have.
• Have experience with a cloud data warehouse and can build dashboards and recurring queries.
• Can write a spec that engineering builds against and a data summary that leadership makes decisions with.
• Have run experiments and know the difference between shipping a feature and learning something.

It will help if you:

• Have experience with experiment design and A/B testing frameworks.
• Have worked on a messaging, social, or consumer product.
• Are familiar with subscription or freemium business models.
• Understand basic statistical methods enough to know when a result is meaningful and when you’re fooling yourself with correlation.
• Are comfortable working with imperfect data when instrumentation isn’t clean.

Bonus points if you’ve worked on a distributed team or at a startup where you had to be scrappy and self-directed. For this role, overlap with North American time zones (Eastern preferred) is important, so you can work closely with the leadership team. This is a mid-level IC role with high-ownership expectations: the leadership team will rely on your work to know whether our strategy is working.

Compensation and Benefits

Salary range: $120,000-$190,000 USD.  Please note that salary ranges are global, regardless of location, and we pay in local currency.

We are searching for high-caliber candidates with the skills and qualities to have a net positive for Automattic. Pay will reflect the potential contribution and the impact you can bring, which may, in some cases, go beyond the range stated.

This isn’t your typical work-from-home job—we are a fully-remote company with an open vacation policy. Read more about our compensation philosophy. To see a full list of benefits by country, consult our Benefits Page. And check out these links to learn more about How We Hire and What We Expect from Ourselves. #LI-DNI

Bridgeway is seeking a Senior Data Engineer to design, develop, and maintain our data warehouse infrastructure. This role involves working closely with analysts, engineers, and other stakeholders to shape our data architecture, ensuring secure and efficient data pipelines, and enabling advanced analytics across the organization. The ideal candidate will have a strong background in data engineering, data warehousing, and ELT processes, along with a passion for optimizing data systems.

This is a remote position, with preference given to East Coast candidates.

Key Responsibilities:

• Design, develop, and maintain a scalable data warehouse/lakehouse environment.
• Design and implement ELT pipelines to ingest, transform, and deliver high-quality data for analytics and reporting, incorporating current best practices, such as “pipelines as code”.
• Ensure data security and compliance, including role-based access controls for security, encryption, masking, and governance best practices to ensure compliant handling of sensitive information.
• Optimize performance of data workflows and storage for cost efficiency and speed.
• Partner with engineers, analysts, and stakeholders to meet data needs; balance cost, performance, simplicity, and time-to-value while mentoring teams and documenting standards.
• Define and implement robust testing frameworks, enforce data contracts, and establish observability practices including lineage tracking, SLAs/SLOs, and incident response runbooks to maintain data integrity and trustworthiness.
• Monitor, troubleshoot, and resolve data & automation issues.
• Collaborate within an Agile-Scrum framework and develop comprehensive technical design documentation to ensure efficient and successful delivery.
• Serve as a trusted expert on organizational data domains, processes, and best practices.

Requirements:

• 5+ years of experience in data engineering and ELT with a focus on large-scale data platforms
• 3+ years of experience with Databricks
• Advanced proficiency in analytical SQL, including ANSI SQL, T-SQL, and Spark SQL
• Strong Python skills for data engineering
• Expertise in data modeling
• Hands-on experience with data quality and observability practices (tests, contracts, lineage tracking, alerts)
• Practical knowledge of orchestration tools and CI/CD concepts for data workflows
• Excellent communication and a track record of technical leadership and mentoring
• Strong understanding of integrating data solutions with AI and machine learning models
• Strong problem-solving skills and attention to detail.
• Experience with version control systems like Git preferred
• Strong understanding of data governance and best practices in data management, with hands-on experience using Unity Catalog
• Hands-on experience in designing and managing data pipelines using Delta Live Tables (DLT) on Databricks
• Streaming and ingestion tools, such as Kafka, Kinesis, Event Hubs, Debezium, or Fivetran
• DAX, LookML, dbt; Airflow/Dagster/Prefect, Terraform; Azure DevOps; Power BI/Looker/Tableau; GitHub CoPilot knowledge is a plus
• Bachelor’s degree in Computer Science, Information Technology, or a related field. Master’s degree preferred

Nosso Modo de Fazer no Time:

Transforme sua carreira com o iFood! Somos uma empresa brasileira de tecnologia referência na América Latina. Por meio de soluções inovadoras, conectamos milhares de restaurantes a milhões de consumidores diariamente com uma média de 100 milhões de pedidos mensais. Além do delivery de comida, também somos Mercado, Farmácia e Pet. Temos também o iFood Pago, nossa Fintech, que engloba o iFood Benefícios, o vale alimentação e refeição do iFood e o próprio iFood Pago, o banco do restaurante. Junte-se a nós e faça parte de uma equipe que está sempre à frente com tecnologia de ponta e inovação constante.

Seu Cardápio Diário:

• Colaborar com membros da equipe para coletar requisitos de negócio e projetar modelos de dados.

• Construir confiança em todas as interações e fornecer os dados mais completos, confiáveis e precisos para a empresa.
• Projetar, desenvolver e estender código ETL e pipelines de dados para expandir o Data Lake Empresarial.
• Criar e manter documentação de arquitetura e sistemas.
• Manter conjuntos de dados principais ou produtos de dados atualizados no Catálogo de Dados para apoiar análises de Self-Service e Fonte Única da Verdade.
• Desenvolver código que atenda aos nossos padrões internos de estilo, manutenibilidade e melhores práticas para um ambiente de dados de alta escala. Manter e defender esses padrões através de revisão de código.
• Aprovar mudanças em modelos de dados como Revisor da Equipe de Dados e ser responsável por conjuntos de dados específicos e esquemas de modelos de dados.
• Compartilhar expertise em modelagem e transformação de dados para todas as equipes do iFood através de revisões de código, pareamento e treinamento para ajudar a entregar designs e consultas otimizados e escaláveis de conjuntos de dados ou produtos de dados no Databricks. 

Ingredientes Que Buscamos:

• Disposição para aprender coisas novas todos os dias.
• Habilidade com SQL, Python e Spark.
• Excelente comunicação: Alcançar consenso regularmente entre equipes técnicas e de negócio.
• Capacidade demonstrada de comunicar de forma clara e concisa atividades complexas de negócio, requisitos técnicos e recomendações.
• 2+ anos na área de Dados como analista, engenheiro ou equivalente.
• 2+ anos de experiência projetando, implementando, operando e estendendo modelos de dados empresariais (dimensionais ou não).
• 2+ anos trabalhando com Banco de Dados ou Data Warehouse de grande escala, preferencialmente em ambiente de nuvem.
• Inglês técnico.
• Desejável: Experiência com Databricks, Airflow e AWS.

Para Realçar o Sabor:

• Experiência prática em inteligência artificial.
• Habilidade para gerar indicadores mensuráveis e identificar mudanças necessárias.
• Capacidade de se adaptar rapidamente a novas tecnologias e desafios.
• Interesse em promover a cultura de colaboração e troca de conhecimentos.

Buscamos uma pessoa apaixonada por tecnologia e dados, que esteja sempre em busca de novos aprendizados e que goste de desafios. Se você se identifica com este perfil, adoraríamos conhecer você!

About the Role
We are seeking GTM Engineering interns to join our team for 6-12 months, with the opportunity to become a full-time team member afterwards pending performance. Interns will work closely with our GTM team on automating workflows and designing demos for client prospects. Interns will have an opportunity to work with cutting-edge AI technology and to be part of a dynamic and innovative team.

What you will be working on Weekly Basis

• Build and iterate on AI-powered go-to-market tools that help Safari AI scale outreach and accelerate deals
• Develop solutions that are robust across customer contexts: varying industries, use cases, and stages of the sales funnel, ensuring a consistent and compelling prospect experience
• Work with a growing team of sales, marketing, and product engineers to ship GTM experiments quickly and feed learnings back into the product roadmap
• Design and maintain the systems, templates, and data pipelines that power outbound sequences, lead nurturing flows, and customer onboarding
• Build and maintain AI-driven prospect research and account-scoring pipelines that surface high-fit venues (stadiums, theme parks, retail, cruise, ski) and enrich them with operational signals (camera count, footprint, parent org, tech stack)
• Develop vertical-specific demo environments and ROI calculators that translate Safari AI's computer vision outputs (queue times, dwell, occupancy, conversion) into language and metrics each buyer persona cares about
• Operate the outbound infrastructure stack — sending platform, CRM, enrichment, and reply-handling agents — and continuously tune deliverability, persona logic, and conversation state machines based on live performance data

Requirement for the Role

• Only students who can commit 6 months (2026/04-2027/01) will be screened
• Senior undergraduate or graduate school students in computer science or relevant field with exposure to classic and modern computer vision and machine learning techniques
• Excellent written and verbal communication skills
• Self-motivated, critical thinking and enthusiastic in solving real-world problems
• Experience with public cloud such as GCP, Azure or AWS
• Ability to design, implement, present, and operate independently without oversight
• Good business insight and exceptional analytical skills
• Comfortable wiring together modern GTM tooling (HubSpot, SmartLead/Instantly, Clay, Apollo, Zapier/n8n, Notion) and writing light Python or TypeScript to glue systems together
• Hands-on experience prompting and orchestrating LLM APIs (Anthropic, OpenAI) for production use cases — not just chat, but agents, classification, and structured output
• Working knowledge of SQL and at least one data warehouse or relational DB (PostgreSQL, BigQuery, Snowflake)

Nice to Have's

• Experiences in startup environment
• Exposure to B2B enterprise sales motions, especially with non-technical buyers in physical-venue industries (sports, hospitality, retail, attractions)
• Familiarity with computer vision concepts and the operational realities of CCTV/IP camera deployments
• Prior work building internal tools, dashboards, or AI agents that were actually adopted by a non-engineering team

What Safari AI Offers

• An opportunity to shape an early-stage AI startup and revolutionize how businesses get data and make decisions
• Professional growth at a fast-growing, venture-funded startup with a proven founder and leadership team

Iovance Biotherapeutics aims to be the global leader in innovating, developing and delivering tumor infiltrating lymphocyte (TIL) therapy for people with cancer. We are pioneering a transformational approach to treating cancer by harnessing the ability of the human immune system to recognize and attack diverse cancer cells in each patient. The Iovance TIL platform has demonstrated promising clinical data across multiple solid tumors. We are committed to continuous innovation in cell therapy, including gene-edited cell therapy, which may be a promising option for patients with cancer.

Overview

The Sr. Manager, Protein Sciences (Upstream) is an experienced manufacturing and processing subject matter expert responsible for managing Iovance’s GMP manufacturing operations and contracted manufacturing operations centered on protein production and characterization, with a focus on upstream process. S/He will actively collaborate with Process Development, Analytical Development,  Manufacturing, Quality Control, Quality, Supply Chain, and Regulatory functions, with a focus on ex-US manufacturing operations.

This position will report to the head of Protein Sciences, and involves planning, coordinating, and overseeing contract manufacturing and development services for Iovance products through the product life cycle. Activities requiring oversight include process development, transfer, scaleup, validation, improvements (COGS), and studies supporting technical changes/improvements. This position will also provide necessary leadership to support CMC product teams and/or lead subteams, manage technical information/data flows, manage project milestones, support audits, and assist in qualification, validation, and regulatory filing activities. Additionally, this position will be responsible for manufacturing data management for selected clinical/commercial products.  

Responsibilities

• Subject matter expert in diverse molecular biology, protein expression, and biochemistry. An understanding of analytical methods is preferred.
• Manage and/or support knowledge management (including product, process, and analytical)
• Manage and/or support process, analytical, microbial control strategy development and implementation, and risk assessment and mitigation.
• Build and support long term business relationships with key Contract Manufacturing Organizations in support of flexible and efficient supply chains.
• Manage and/or support technical transfer and technical/COGS improvement projects. Ensure effective stakeholder engagement and ensure on-time and in-budget delivery.
• Support regulatory CMC and registrational activities for clinical/commercial products as required, with a focus on ex-US.
• Liaise with Quality/Supply Chain on product disposition and ensure continuous alignment with quality/supply chain systems requirements. Support technical investigations, deviations and CAPAs as required. Support and participate in site audits, as required.
• Manage and/or support hiring and development of staff, as required.
• Ensure CMO site operational readiness for manufacturing campaigns/process transfer/change controls/validations; including facilities, equipment, documentation, training.
• Utilize strong operational excellence / lean principles, business acumen, quality-mindedness, and excellent communication skills to develop streamlined, efficient, and robust systems.

Required Experience

• A minimum of 9 years of related experience with a Bachelor's degree; or 7 years and a Master's degree; or a PhD with 4 years experience in a relevant Life Science discipline or equivalent in work experience.
• In-depth understanding of protein expression and characterization. Good understanding of purification and QC methods is a plus.
• Strong prior operational experience preferably in a direct role in a GMP manufacturing environment, with interfaces to Supply Chain, Quality and Regulatory functions, with commensurate experience supporting internationally licensed products.
• Direct experience managing contract development/manufacturing organizations (CDMOs), with focus on aseptic operations and commercial manufacturing, is preferred.
• Must possess a thorough understanding of biotherapeutics manufacturing.
• Demonstrated business and commercial focus with awareness of customer/patient-centric issues.
• Experience working in a global business environment across multiple time zones.
• Self-starter, possessing strong verbal and written communication skills.
• Ability/willingness to travel globally for extended periods, based on business needs.

The physical demands described here represent those that an employee must meet to perform the essential functions of this job successfully. Reasonable accommodations may be made upon request to enable individuals to perform essential functions. Please contact Human Resources to request an accommodation.

Physical Demands and Activities Required

• Must be able to remain in a stationary position standing or sitting for prolonged periods of time.
• Must be able to work on a tablet or computer for 80% of a typical working day.
• Must be able to move and lift 15 pounds.
• Wear proper personal protective equipment when in the warehouse, laboratory setting, i.e., safety glasses, lab coats, and closed-toed shoes.

Mental

• Clear and conceptual thinking ability; excellent judgment, troubleshooting, problem-solving, analysis, and discretion.
• Ability to handle work-related stress.
• Ability to handle multiple priorities simultaneously.
• Ability to meet deadlines.

Work Environment

• This position will work in both an office and a manufacturing setting.
• Potential exposure to noise, equipment hazards and strong odors.

#LI-onsite

Iovance Biotherapeutics aims to be the global leader in innovating, developing and delivering tumor infiltrating lymphocyte (TIL) therapy for people with cancer. We are pioneering a transformational approach to treating cancer by harnessing the ability of the human immune system to recognize and attack diverse cancer cells in each patient. The Iovance TIL platform has demonstrated promising clinical data across multiple solid tumors. We are committed to continuous innovation in cell therapy, including gene-edited cell therapy, which may be a promising option for patients with cancer.

Overview

The Sr. Manager, Protein Sciences (Downstream) is an experienced manufacturing and processing subject matter expert responsible for managing Iovance’s GMP manufacturing operations and contracted manufacturing operations centered on protein production and characterization, with a focus on downstream process, including drug product formulation, fill, and lyophilization. S/He will actively collaborate with Process Development, Analytical Development,  Manufacturing, Quality Control, Quality, Supply Chain, and Regulatory functions, with a focus on ex-US manufacturing operations.

This position will report to the head of Protein Sciences, and involves planning, coordinating, and overseeing contract manufacturing and development services for Iovance products through the product life cycle. Oversight includes process development, transfer, scaleup, validation, improvements (COGS), and studies supporting technical changes/improvements. This position will also provide necessary leadership to support CMC product teams and/or lead subteams, manage technical information/data flows, manage project milestones, support audits, and assist in qualification, validation, and regulatory filing activities. Additionally, this position will be responsible for manufacturing data management for selected clinical/commercial products.  

Responsibilities

• Subject matter expert in protein purification, drug product formulation, fill, and lyophilization.
• Manage and/or support knowledge management (including product, process, and analytical)
• Manage and/or support process, analytical, microbial control strategy development and implementation, and risk assessment and mitigation.
• Build and support long term business relationships with key Contract Manufacturing Organizations in support of flexible and efficient supply chains.
• Manage and/or support technical transfer and technical/COGS improvement projects. Ensure effective stakeholder engagement and ensure on-time and in-budget delivery.
• Support regulatory CMC and registrational activities for clinical/commercial products as required, with a focus on ex-US.
• Liaise with Quality/Supply Chain on product disposition and ensure continuous alignment with quality/supply chain systems requirements. Support technical investigations, deviations and CAPAs as required. Support and participate in site audits, as required.
• Manage and/or support hiring and development of staff, as required.
• Ensure CMO site operational readiness for manufacturing campaigns/process transfer/change controls/validations; including facilities, equipment, documentation, training.
• Utilize strong operational excellence / lean principles, business acumen, quality-mindedness, and excellent communication skills to develop streamlined, efficient, and robust systems.

Required Experience

• A minimum of 9 years of related experience with a Bachelor's degree; or 7 years and a Master's degree; or a PhD with 4 years experience in a relevant Life Science discipline or equivalent in work experience.
• In-depth understanding of protein purification, characterization, drug product formulation, fill and lyophilization. Good understanding of protein expression, cell culture processing, and QC methods is a plus.
• Strong prior operational experience preferably in a direct role in a GMP manufacturing environment, with interfaces to Supply Chain, Quality and Regulatory functions, with commensurate experience supporting internationally licensed products.
• Direct experience managing contract development/manufacturing organizations (CDMOs), with focus on aseptic operations and commercial manufacturing, is preferred.
• Must possess a thorough understanding of biotherapeutics manufacturing.
• Demonstrated business and commercial focus with awareness of customer/patient-centric issues.
• Experience working in a global business environment across multiple time zones.
• Self-starter, possessing strong verbal and written communication skills.
• Ability/willingness to travel globally for extended periods, based on business needs.

The physical demands described here represent those that an employee must meet to perform the essential functions of this job successfully. Reasonable accommodations may be made upon request to enable individuals to perform essential functions. Please contact Human Resources to request an accommodation.

Physical Demands and Activities Required

• Must be able to remain in a stationary position standing or sitting for prolonged periods of time.
• Must be able to work on a tablet or computer for 80% of a typical working day.
• Must be able to move and lift 15 pounds.
• Wear proper personal protective equipment when in the warehouse, laboratory setting, i.e., safety glasses, lab coats, and closed-toed shoes.

Mental

• Clear and conceptual thinking ability; excellent judgment, troubleshooting, problem-solving, analysis, and discretion.
• Ability to handle work-related stress.
• Ability to handle multiple priorities simultaneously.
• Ability to meet deadlines.

Work Environment

• This position will work in both an office and a manufacturing setting.
• Potential exposure to noise, equipment hazards and strong odors.

#LI-onsite

Overview

The centralized Data and Analytics team at Recharge delivers critical analytic capabilities and insights for Recharge’s business and customers. 

As a Senior Data Engineer, you will build scalable data pipelines and infrastructure that power internal business analytics and customer-facing data products.  Your work will empower data analysts to derive deeper strategic insights from our data, and will  enable developers to build applications that surface data insights directly to our merchants. 

What you’ll do

• Build data pipeline, ELT and infrastructure solutions to power internal data analytics/science and external, customer-facing data products.
• Create automated monitoring, auditing and alerting processes that ensure data quality and consistency.
• Work with business and application/solution teams to implement data strategies, build data flows, and develop conceptual/logical/physical data models
• Design, develop, implement, and optimize existing ETL processes that merge data from disparate sources for consumption by data analysts, business owners, and customers
• Seek ways to continually improve the operations, monitoring and performance of the data warehouse
• Influence and communicate with all levels of stakeholders including analysts, developers, business users, and executives.
• Redesign and optimize existing data processes using AI (e.g., LLM-assisted development, automated documentation, issue resolution) to improve team productivity and enhance data quality across the data warehouse
• Live by and champion our values: #day-one, #ownership, #empathy, #humility.

What you’ll bring

• Typically, 5+ years experience in a data engineering related role (Data Engineer, Data Platform Engineer, Analytics Engineer etc) with a track record of building scalable data pipeline, transformation, and platform solutions. 
• 3+ years of hands-on experience designing and building data pipelines and models  to ingesting, transforming and delivery of large amounts of data, from multiple sources into a Dimensional (Star Schema) Data Warehouse, Data Lake.
• Experience with a variety of data warehouse, data lake and enterprise data management platforms (Snowflake {preferred}, Redshift, databricks, MySQL, Postgres, Oracle,  RDS, AWS, GCP)
• Experience building data pipelines, models and infrastructure powering external, customer-facing (in addition to internal business facing) analytics applications.
• Solid grasp to data warehousing methodologies like Kimball and Inmon
• Experience working with a variety of ETL tools. (FiveTran, dbt, Python etc)
• Experience with workflow orchestration management engines such as Airflow & Cloud Composer
• Hands on experience with Data Infra tools like Kubernetes, Docker
• Expert proficiency in SQL
• Strong Python proficiency

Interview recording & AI notetakers
To protect privacy, legal compliance, and interviewer/candidate experience, recording, transcribing, or using AI notetaker tools during interviews is not permitted without our prior written consent. Handwritten notes are welcome. If you need an accommodation (e.g., captions), email recruiting@getrecharge.com before your interview—we’ll arrange an approved solution.

Compensation 

Recharge’s compensation offerings are grounded in a pay-for-performance philosophy that recognizes exceptional individual and team performance. Salary ranges are designed to be competitive and aligned with country specific practices, while individual compensation is determined by skills, qualifications, and experience. The compensation listed is not inclusive of any equity and benefits that might exist in your total compensation package.

• Hiring range in the US
  $148,000 USD - $185,000 USD
• Hiring range in Canada
  $108,000 CAD - $136,000 CAD

Application window anticipated to close: 6/1/2025. If you’re interested in this opportunity, please submit an application as soon as possible.

Team: Revenue Operations
Reports to: Chief Revenue Officer
Location: Remote
Type: Full-time

The Role

You'll be Product Owner across three surfaces:

• CRM — platform, data model, permissions, lifecycle automation.
• Partner Product — the cabinet, dashboards, payout logic, and tooling our IBs, affiliates, and KOLs live in.
• Marketing Enablement — lifecycle stack, AI agents, and the internal tools BD/AM run on.

You own the roadmap, backlog, specs, and outcomes with a simple goal in view - to grow revenue.

We want a disruptor. Someone who sees a 14-step nurture sequence and asks why an agent isn't running it. Someone comfortable in a product review with engineers and a funnel economics conversation with the CEO.

What You'll Do 🛠

CRM

• Lead the new CRM rollout and adoption across BD, Partnerships, AM, Marketing, Compliance, Support.
• Own the data model, permissions, and the pipe from platform → warehouse → CRM → activation.

Partner Product

• Own the IB/affiliate/KOL product experience end-to-end.
• Translate partner and BD feedback into a prioritised backlog; ship with engineering.
• Build the partner journeys, onboarding, activation, tiering, qualification that turn signups into revenue.

Revenue org Enablement & AI

• Ship AI auto-funnels: agents that score, personalise, route, draft, and hand off.
• Embed AI into daily BD/AM work: prospect intelligence, meeting prep, auto-logged notes, next-best-action, call QA.
• Support Acquisition and Retention teams with setting up funnels across email, in-app, SMS, push.

Always

• Test, measure, kill what doesn't work.
• Report ROI clearly. Iterate.

What We're Looking For 🪄

Must-haves

• Product ownership experience with a track record.
• Experience in CRM integration/management (Salesforce, HubSpot, Zoho, Zendesk, Customer.io, Braze, or similar).
• Experience in shipping funnels that actually convert.
• Hands-on with AI in a revenue context: LLM APIs, agents, prompt engineering, AI-powered outbound.
• Strong with Dev, Data, Marketing, Sales. Translates well between them.
• Analytical. Reads cohorts and retention curves, not just reports.

Bonus points for

• Owning a partner/IB/affiliate product before.
• Shipped AI agents on top of a CRM (scoring, outreach, research, QA).
• Tools: n8n, Make, Zapier Agents, Clay, Apollo, Smartlead, HeyReach, Retell, Bland.
• Fintech, crypto, brokerage, iGaming, or other regulated, affiliate-heavy verticals.
• RAG, vector DBs, internal knowledge agents.
• A portfolio that shows what you've built, not just where you've worked.

Ready to architect the future of data? We'd love to hear from you.

Why This Role is Different

Here at Mammoth Growth, we’re going beyond just building data pipelines, we're pioneering the future of AI-enhanced analytics engineering. Our team has developed custom workflows that combine our decade of best practices with cutting-edge AI capabilities. We've built a team, toolset and workflow that utilizes the best AI models to accelerate delivery while maintaining the quality standards we're known for.

As a Technical Architect, you'll be at the forefront of this transformation, working with our AI-enhanced tooling while guiding clients through complex data challenges. You'll define architecture, code hand in hand with agents, review code, and deliver solutions that exceed industry standards.

You will be immersing yourself in a contemporary data stack environment. While familiarity with tools like dbt, Snowflake, and BigQuery are vital, your ability to draw from broad experiences will be paramount.

What You’ll Do:

Technical Leadership

• Be the go-to expert in the room of how we are going to implement the solution
• Articulate and defend your recommendations
• Doing what it takes to move the project toward its goals
• Anticipate future problems and proactively mitigating them

Create Solutions

• Evaluate and document a client’s current systems
• Helping clients to realize their strategy and define their future roadmap
• Design and recommend new systems architecture
• Design the data architecture based on business requirements
• Design custom engineering integrations and solutions

Hands On Execution

• Build complex dbt implementations following medallion architecture patterns
• Design and implement model contracts, versioning strategies, and frameworks
• Conduct rigorous code reviews ensuring quality and testing coverage

What You’ll Need:

• Expert-level dbt proficiency: Complex modeling, macros, testing strategies, model contracts, state comparison, and performance optimization
• Deep cloud data warehouse experience: Extensive hands-on work with Snowflake AND BigQuery, including architecture, optimization, and advanced features
• Advanced SQL mastery: Query optimization, complex transformations, and performance troubleshooting
• Git proficiency: Branching strategies, PR workflows, CI/CD pipelines, and collaborative development practices
• Systems architecture: Proven experience designing and implementing scalable cloud-based data solutions
• Modern ELT architecture: Solid understanding of medallion architecture and evolving best practices
• Prompt engineering: Experience crafting detailed, effective prompts for LLMs
• AI Experience: understanding of top models and how to effectively implement them in development workflows. 

Qualities:

• Demonstrated ability to quickly assess, strategize, and resolve high-stakes situations with calm precision and efficiency
• Inquisitive with an attention to detail and ability to ask the right questions at the right time
• Independently organized; self-starter; ability to work with minimal direction
• Good communication / client facing skills / ability to work in a team environment
• Enjoy learning new tools to better solve new challenges

Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1000+ colleagues in 70+ countries and very few roles based in offices. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution.

The company is founder led, profitable and growing. We are hiring Python and Kubernetes Specialist Engineers focused on Data, Workflows, AI/ML and Analytics Solutions to join our teams building open source solutions for public cloud and private infrastructure.

As a software engineer on the team, you'll collaborate on end-to-end data analytics and MLOps solutions composed of popular, open-source, machine learning tools, such as Kubeflow, MLFlow, DVC, and Feast. You may also work on ETL, data governance and visualization tools like Apache SuperSet, dbt, workflow orchestration tools such as Airflow and Temporal, or data warehouse solutions such as Apache Trino, or ClickHouse. These solutions may be run on servers or on the cloud, on machines or on Kubernetes, on developer desktops, or as web services.

We serve the needs of individuals and community members as much as the needs of our Global 2000 and Fortune 500 customers; we make our primary work available free of charge and our Pro subscriptions are also available to individuals for personal use at no cost. Our goal is to enable more people to enjoy the benefits of open source, regardless of their circumstances.

Location: This initiative spans many teams that are home-based and in multiple time zones. We believe in distributed collaboration but we also try to ensure that colleagues have company during their work hours! Successful candidates will join a team where most members and your manager are broadly in the same time zone so that you have the benefits of constant collaboration and discussion.

What your day will look like

• Develop your understanding of the entire Linux stack, from kernel, networking, and storage, to the application layer
• Design, build and maintain solutions that will be deployed on public and private clouds and local workstations
• Master distributed systems concepts such as observability, identity, tracing
• Work with both Kubernetes and machine-oriented open source applications
• Collaborate proactively with a distributed team of engineers, designers and product managers
• Debug issues and interact in public with upstream and Ubuntu communities
• Generate and discuss ideas, and collaborate on finding good solutions

What we are looking for in you

• Professional or academic software delivery using Python
• Exceptional academic track record from both high school and university
• Undergraduate degree in a technical subject or a compelling narrative about your alternative chosen path
• Confidence to respectfully speak up, exchange feedback, and share ideas without hesitation
• Track record of going above-and-beyond expectations to achieve outstanding results
• Passion for technology evidenced by personal projects and initiatives
• The work ethic and confidence to shine alongside motivated colleagues
• Professional written and spoken English with excellent presentation skills
• Experience with Linux (Debian or Ubuntu preferred) 
• Excellent interpersonal skills, curiosity, flexibility, and accountability
• Appreciative of diversity, polite and effective in a multi-cultural, multi-national organisation
• Thoughtfulness and self-motivation 
• Result-oriented, with a personal drive to meet commitments 
• Ability to travel twice a year, for company events up to two weeks long

Additional skills that would be nice to have

The following skills may be helpful to you in the role, but we don't expect everyone to bring all of them.

• Proven track record of building highly automated machine learning solutions, data pipelines, or orchestrating workflows for the cloud.
• Hands-on experience with machine learning libraries, or tools.
• Experience with container technologies (Docker, LXD, Kubernetes, etc.)
• Experience with public clouds (AWS, Azure, Google Cloud)
• Working knowledge of cloud computing
• Passionate about software quality and testing
• Experience working on an open source project

What we offer colleagues

We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.

• Distributed work environment with twice-yearly team sprints in person
• Personal learning and development budget of USD 2,000 per year
• Annual compensation review
• Recognition rewards
• Annual holiday leave
• Maternity and paternity leave
• Employee Assistance Programme
• Opportunity to travel to new locations to meet colleagues
• Priority Pass, and travel upgrades for long haul company events

About Canonical

Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since its inception in 2004.​ Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game.

Canonical is an equal opportunity employer

We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.

#LI-remote

About the Role

We’re looking for an ambitious AI Engineer to transform how our go-to-market team operates. San Francisco, Austin, or Lisbon are preferred locations where you can collaborate with team members, but the position is remote or hybrid. 

As the founding GTM engineer, you will architect and build the AI-powered systems that power our entire GTM motion, owning the technology stack, partnering with stakeholders to define the workflows, deploying AI agents and apps, and continuously improving how the company acquires, activates, and grows customers.

This is a highly hands-on role for someone who enjoys shipping systems, experimenting rapidly, and solving messy real-world problems with software.

Why This Role Matters

This role is a force multiplier for the entire company. You’ll build the infrastructure that allows the GTM team to move faster, learn faster, and scale without proportional headcount. You’ll help us:

• Turn GTM from a set of tools into a cohesive, intelligent system
• Scale workflows without scaling headcount
• Improve signal quality and timing for marketing and sales
• Increase learning velocity across the entire funnel
• Shape how an open-source, bottom-up product grows into enterprise adoption

What You’ll Do

Build & Automate the foundational GTM AI stack

• Design, build, and maintain AI systems across marketing, PLG, sales, and post-signup activation
• Own integrations and workflows across tools like CRM, marketing automation, product analytics, data warehouse, enrichment tools, and internal services
• Build internal tools and lightweight services that accelerate GTM teams
• Replace manual workflows with scalable, automated systems

AI-Powered Systems & Agents

Design and deploy AI-driven workflows and agents that augment GTM teams.

Examples include:

• Lead qualification, inbound lead routing, and enrichment
• Personalized lifecycle marketing and outbound messaging
• Sales assist tools for deal intelligence and account research
• Automated account insights, pipeline analysis, and deal lifecycle management
• User onboarding, activation, and expansion signals

You’ll continuously improve these systems using real performance data and feedback loops.

Growth: PLG + Sales-Assisted Motion

• Support a hybrid GTM model where open-source and self-serve users graduate into paid, sales-assisted customers
• Partner with Data & Growth to build systems that surface product signals (usage, intent, readiness) to marketing and sales teams at the right time
• Partner closely with Product & Marketing to turn usage insights into GTM leverage

Experimentation & Learning

Build the infrastructure that allows the GTM team to learn quickly and iterate with confidence.

• Design and run experiments across acquisition, activation, conversion, and expansion
• Build experimentation frameworks (feature flags, A/B testing, measurement systems)
• Instrument systems to capture reliable data and insights
• Rapidly iterate based on results, not assumptions

Feedback Loops & Continuous Improvement

Create tight feedback loops between users, product signals, and GTM actions.

• Partner with head of , accessible, and actionable across teams
• Turn qualitative and quantitative insights into system improvements
• Continuously optimize workflows, models, and automation based on real outcomes

What We’re Looking For

Core Skills

This is fundamentally an engineering role, not traditional GTM operations. We’re looking for someone who enjoys building systems, not managing tools.

• Strong engineering background (software, data, or growth engineering)
• Comfortable shipping production code (APIs, services, scripts, internal tools)
• Experience working with data pipelines, analytics, and experimentation frameworks
• Hands-on experience with AI/LLMs, prompt engineering, or agent-based systems

Collaboration & Ownership

• Ability to work cross-functionally with Product, Engineering, Marketing and Sales
• Comfortable operating with ambiguity and defining the problem as you go
• Strong communicator who can translate between technical and GTM stakeholders

Nice to Have

• Experience with open-source or developer-focused products
• Familiarity with CRM systems (e.g., Salesforce, HubSpot), CDPs, and marketing automation
• Experience building internal tools for sales or marketing teams
• Prior work in B2B SaaS, data, or AI-first companies

Thank you for your interest in Dremio! If you've found yourself here, we're guessing that means you may not have found your perfect match in our currently available opportunities just yet. That's okay! Let's keep in touch for opportunities to make waves together in the future. Let us know what areas and/or roles you're interested in and we'll let you know when an opportunity that aligns with your interests and professional experience is available.