Develop value assessment methodologies and create ROI, TCO, and financial impact analyses for enterprise and AI infrastructure opportunities.
Partner with Sales teams on strategic customer pursuits and conduct executive-level workshops focused on business outcomes.
Build repeatable value engineering tools, industry benchmarks, and competitive economic analyses to support account planning and large deal strategies.
DDN is a global market leader in AI and high-performance data storage, powering many of the world's most demanding AI data centers across industries like life sciences, healthcare, and financial services. With over two decades of innovation and a team of passionate professionals, DDN is committed to customer-centricity and shaping the future of AI and data management.
Design, build, and maintain high-quality data pipelines and data models from scratch within a data mesh architecture.
Build AI-powered capabilities such as data/AI agents and natural-language interfaces to amplify team productivity.
Partner with analysts and stakeholders to turn loosely defined needs into clear, well-scoped technical work.
Wellhub is a platform that connects employees worldwide to partners for fitness, mindfulness, therapy, nutrition, and sleep through a simple subscription. Headquartered in NYC with team members in Europe, North America, and South America, we are on a mission to make every company a wellness company with a team that values wellbeing, collaboration, and diverse perspectives.
Own analytical workstreams across global client engagements, ensuring timely and high-quality delivery.
Conduct market assessments and synthesize quantitative and qualitative research into actionable insights.
Create polished client deliverables including presentations, reports, and analytical models using PowerPoint and Excel.
Skift Advisory provides strategic consulting services to the global travel and tourism industry. The company maintains a collaborative, remote-friendly culture with a highly connected international team.
Conduct data discovery and analyze business processes to identify improvement opportunities.
Translate business requirements into analytical specifications and data-driven solutions.
Collaborate with cross-functional teams to improve data quality and reporting capabilities.
The partner company specializes in data-driven business solutions and AI-powered analytics. It operates as a remote global team, fostering a collaborative and innovative work culture.
Client engagements, end-to-end: Lead discovery, align stakeholders, define scope, and drive launch and adoption for complex data problems.
Translating business problems into working systems: Turn whiteboard conversations into clear specs for engineers—ETL pipelines, semantic models, metrics.
Building the company, not just the client: Identify repeatable assets across engagements and contribute to proposals and solution approaches.
Paradox Machines is a venture-backed data and AI company that helps organizations leverage AI through expert data engineering and an AI-enabled platform. As a founding team, they are building the company and its scalable processes with a focus on trusted analytics and AI.
Lead the design, development, and deployment of enterprise-scale AI and data solutions using AWS and Snowflake.
Architect and implement large language models and agentic AI workflows for business automation and decision support.
Collaborate with cross-functional teams to ensure solutions meet regulatory, security, and compliance requirements in financial services.
U.S. Financial Technology operates the largest and most advanced mortgage securitization platform globally, supporting the Uniform Mortgage-Backed Security of Fannie Mae and Freddie Mac. The company supports 70% of the mortgage-backed securities market and offers a full lifecycle of services with a focus on cloud-based technology and innovation.
Support customers with installation, configuration, and optimization of AI and database solutions across cloud and on-premise environments.
Troubleshoot complex technical issues, analyze logs, and collaborate with engineering teams to resolve problems.
Provide guidance on AI technologies including LLMs, embeddings, vector search, and RAG to improve customer outcomes.
Our partner company specializes in AI and database technologies, delivering cutting-edge solutions to enterprise customers. They operate fully remotely with a focus on innovation and customer success.
Apply professional investigative expertise to support advanced AI research initiatives and structured evaluation tasks.
Develop structured deliverables based on common investigative scenarios and review peer-generated outputs for quality.
Contribute expert insights to evaluate how AI systems interpret investigative reasoning and evidence-based scenarios.
Jobgether is an AI-powered job matching platform that connects candidates with hiring companies. It focuses on ensuring applications are reviewed quickly, objectively, and fairly.
Conduct competitive analyses and audit client websites to identify high-impact SEO and growth opportunities.
Build ROI models, strategy decks, and executive overviews that clearly communicate findings and recommendations.
Deliver client-ready presentations with exceptional attention to detail and deadline-driven project management.
Graphite is a technology-enabled growth agency that helps fast-growing companies with content, SEO, and AEO. They are a fully distributed company with team members across North America, Latin America, and Europe.
Support global compensation and benefits operations by managing data, analytics, and process improvements.
Collaborate with regional HR teams and business stakeholders to improve efficiency and accuracy of Total Rewards programs.
Conduct pay equity analysis, prepare reports, and support recommendations for compensation adjustments.
Jobgether uses an AI-powered matching process to connect candidates with hiring companies. It is a platform that focuses on objective and fair review of applications, with a shortlist shared directly with the employer.
Design and build data ingestion pipelines and knowledge bases using enterprise search and AI retrieval technologies.
Implement secure data access controls and retrieval evaluation frameworks to ensure accuracy and compliance.
Collaborate with architects and customer teams to align data strategies and enable long-term adoption of AI solutions.
A partner company specializing in enterprise AI and data solutions is seeking a Data / Search Specialist. The company operates with a focus on secure and scalable AI adoption, though its size and culture are not specified.
Design, build, and operate data and analytics systems supporting advanced model development workflows.
Own the complete lifecycle of experiment data, including modeling, ingestion, retrieval, and analysis.
Develop high-performance, scalable data infrastructure supporting increasing scale and reliability requirements.
The company focuses on building foundational data and analytics infrastructure for advanced AI research and development. They have a globally distributed team with a people-first culture focused on collaboration and innovation.
Design and own the data foundations that power decision-making across product squads, customer success, marketing, and external stakeholders.
Build and maintain scalable semantic layers and self-service analytics systems enabling non-technical stakeholders to access trusted insights.
Partner with product squads to translate operational and product challenges into production-ready data pipelines and analytics assets.
Our partner company is building a fast-scaling product and data ecosystem where analytics is a product itself, supporting healthcare innovation. It is a mission-driven organization offering a remote-first work model with a Paris office and a collaborative culture.
Support critical business initiatives by identifying opportunities and solving operational challenges.
Drive high-priority initiatives across different areas of the business to ensure effective execution.
Conduct research on markets, products, customer needs, and new business opportunities.
The partner company is a fast-growing technology company operating in a global environment. It maintains an international and collaborative team culture with a focus on continuous learning and professional growth.
Lead the strategic vision and execution of a unified data organization spanning Data Engineering, Data Science, AI, and Business Intelligence.
Shape scalable data platforms, drive AI innovation, and build high-performing teams that transform complex data into measurable business value.
Define technical roadmaps, establish best practices, and collaborate with senior stakeholders to support business growth.
Our partner is a company looking for a Head of Data & AI based in Germany. The size and culture are not specified, but the role is in a fast-paced, innovation-driven environment with a focus on data and AI.
Design and implement scalable, low-latency real-time data streaming architectures and end-to-end data pipelines for high-volume systems.
Develop clean, maintainable, and efficient code using technologies such as Go, Python, TypeScript/Node.js, Scala, and SQL.
Build and optimize complex data processing workflows handling structured and unstructured data sources.
Our partner is looking for a Sr. Data Engineer - Data Analytics based in India. The company operates in a global, remote-first environment with a multicultural team spanning 45+ nationalities, focusing on work-life balance and employee well-being.
Define and lead the multi-horizon product strategy for engineering intelligence and insights, balancing short-term customer needs with long-term platform evolution.
Drive the development of analytics and insight experiences, including dashboards, AI-powered interfaces, and conversational analytics capabilities.
Partner closely with engineering and data teams to shape scalable data infrastructure, pipelines, APIs, and knowledge graph integrations.
This role is with a partner company via Jobgether, an AI-powered job matching platform. The company is a global, distributed organization focused on engineering intelligence and analytics, offering equity compensation, comprehensive benefits, and a flexible remote work environment.
Research and create product listings for technology products using AI-powered tools.
Maintain and update catalog data to ensure accuracy and completeness.
Perform audits and monitor market trends to improve product information.
The company is a technology-focused marketplace that ensures accurate product information for customers. They are a growing organization with a culture of innovation and remote work flexibility.