Role Description Seeking a Senior Client Success Manager to join the growing Client Success team. While the title is Customer Success Manager, this role is much closer to a strategic advisor, consultant, and trusted client partner than a traditional SaaS CSM. - This is not a transactional account management role. - This is not a playbook-driven customer success organization. - This is not a role focused on upselling products, following scripted customer journeys, or driving expansion metrics. Instead, we are looking for someone who can become a trusted advisor to enterprise brands and agencies, helping them solve complex marketing, measurement, analytics, and data challenges. The ideal candidate is comfortable operating in ambiguity, building director/executive relationships, and helping clients think strategically about their business. Client Portfolio: Clients include some of the largest brands and agencies in the world. - Enterprise Brands: - McDonald's - Comcast - Verizon - Hershey - Agencies: - Code3 - VaynerX - MMI - Other large independent agencies Each Senior CSM manages a small portfolio of approximately 3-4 highly strategic accounts, allowing for deep partnership and meaningful business impact. Stakeholders They Will Work With - The successful candidate must be comfortable engaging with multiple stakeholder groups, including: - Marketing leaders - Media teams - Analytics & Insights teams - Data & Measurement teams - Agency leadership - Finance stakeholders - Sales stakeholders The ability to translate between technical and business audiences is critical. Qualifications - Industry expertise, strategic thinking, and credibility with clients are much harder to develop. - Experience from one or more of the following areas: - AdTech - MarTech - Marketing Analytics - Data & Measurement Platforms - Digital Media - Agency Strategy - Agency Analytics - Data Consulting Requirements - Preferred Company Backgrounds - We are particularly interested in candidates from companies such as: - Funnel - Adverity - Snowflake - Databricks - Fivetran - Supermetrics - Note: Some of these are partners so please approach carefully. Past experience at these companies is probably preferred than currently active. Additional experience from agencies, marketing analytics providers, measurement platforms, and data-focused consulting organizations is highly relevant. - Backgrounds We Are Not Prioritizing: - While we respect the talent developed at large technology companies, we are not actively targeting candidates from Google or Amazon for this search. Core Competencies - Strategic Thinking: Candidates should demonstrate the ability to: - Influence client strategy - Connect business objectives to data outcomes - Lead executive-level conversations - Drive long-term account plans - Identify opportunities and risks proactively - Consultative Problem Solving: We need people who naturally ask questions, diagnose root causes, and help clients solve business problems. - Comfort With Ambiguity: There is no script, talk track tree, or rigid playbook. We need individuals who can create structure where it does not already exist and confidently navigate new situations. - Industry Fluency: Candidates should be able to speak credibly about: - Marketing measurement - Digital media - Attribution - Data pipelines - Analytics - Reporting - Marketing technology ecosystems Team Philosophy - Strategic retention - Long-term partnerships - Customer outcomes - Product adoption - Executive relationships - Business impact

Role Description As a Senior Technical Product Manager, you will help translate scientific research, machine learning development, and cloud-based engineering into a clear, production-focused roadmap that leadership and external stakeholders can rely on for planning and execution. The work connects applied research, software delivery, and commercial readiness into a single, visible operating model. As the company scales its platforms and enterprise-facing systems, you will establish the execution frameworks, dependency management practices, and communication layers that allow complex technical progress to be understood, sequenced, and delivered with confidence. Key Responsibilities - Execution framework ownership: Establish and maintain progress tracking systems and dashboards that provide leadership with clear visibility into development velocity and milestone delivery on a recurring basis. - Requirements translation: Partner with business and commercial stakeholders to convert customer needs and market signals into well-defined technical requirements for engineering and data teams. - Executive partnership: Serve as a technical advisor to senior leadership, communicating tradeoffs, risks, and timelines in a way that supports go-to-market planning and decision-making. - Architecture alignment: Collaborate with engineering teams to ensure cloud-native systems and data platforms can support large-scale data processing and model deployment. - Infrastructure strategy support: Contribute to the evolution of machine learning service infrastructure to meet performance, reliability, and scalability needs for enterprise-facing use cases. - Dependency management: Coordinate the lifecycle of interconnected data pipelines, models, and services, ensuring upstream and downstream changes are communicated and integrated across teams. - Sprint and ritual leadership: Lead day-to-day execution practices, ensuring work is well-scoped, documented, and tracked through consistent engineering workflows. - Cross-team orchestration: Manage critical paths across data engineering, machine learning, and cloud infrastructure to prevent delivery blockers and maintain development momentum. - Resource and priority sequencing: Support leadership in making informed decisions about technical investments, tradeoffs, and the ordering of major initiatives. Tech Stack - Data and ML systems: Large-scale data ingestion pipelines, machine learning pipelines, model deployment infrastructure. - Program and delivery tools: Engineering ticketing systems, dashboarding and reporting tools, sprint and workflow management platforms. Qualifications - 5+ years owning product delivery in deeply technical domains (data platforms, ML products, infrastructure-heavy systems, or developer/platform products). - Experience leading or managing programs involving large-scale data platforms, machine learning systems, and cloud infrastructure. - Able to translate complex technical and scientific work into clear, business-focused updates for senior stakeholders and leadership. - Ability to operate in early-stage ambiguity while building the foundations enterprise customers expect around delivery, documentation, reporting, executive communications, and operational maturity. - Ability to reason about system design, data flows, and ML lifecycle enough to ask sharp questions, spot gaps, and drive clarity. - Experience translating ML work into product outcomes, including understanding datasets, model iteration cycles, evaluation metrics, monitoring, model drift, and the realities of deploying and operating ML in production. - Comfortable working with cloud-native architectures and the tradeoffs involved in scaling ingestion, compute, storage, latency, reliability, and cost. - Ability to create crisp requirements that reduce ambiguity (well-scoped epics, user stories, acceptance criteria) and definitions of done that teams can actually execute against. It's a Bonus If - Experience working with data collected from sensor-based, geospatial, or field-deployed systems. - Worked with (or adjacent to) atmospheric modeling, forecasting systems, or high-stakes environmental prediction. - Experience supporting government customers, utilities, or regulated enterprises, including longer buying cycles, compliance requirements, and high standards for documentation and auditability. - Owned the implementation of reporting frameworks for board-level and executive-level technical visibility.

Role Description We are looking for an experienced Product Owner with strong expertise in Snowflake or Databricks to lead the delivery of an enterprise data lake initiative. This role requires a mix of product ownership, technical understanding, and data platform experience. The ideal candidate will work closely with engineering, architecture, and business teams to translate requirements into actionable deliverables and ensure successful rollout of a scalable data platform. - Lead the delivery of an enterprise data lake built on Snowflake or Databricks from initial setup to production deployment. - Translate business and data requirements into clear user stories, acceptance criteria, and sprint plans. - Drive the creation of data ingestion and integration pipelines from SaaS applications and other enterprise systems. - Manage the full development lifecycle, ensuring milestones and deliverables are completed on time. - Prioritize the product backlog based on business value, technical feasibility, and operational needs. - Build and maintain a detailed delivery roadmap, including MVP and phased releases. - Collaborate with cloud infrastructure and DevOps teams to ensure scalable, secure, and cost-effective environments. - Track and report key performance indicators such as pipeline success rates, data processing speed, and platform reliability. - Ensure smooth handover to analytics and data science teams with proper documentation and operational readiness. Qualifications - Proven experience as a Product Owner or Product Manager in data platforms, analytics, or cloud-based systems. - Strong understanding of Snowflake or Databricks including data modeling, pipelines, and cloud architecture. - Experience working with engineering, data, and DevOps teams in Agile environments. - Ability to translate complex business needs into technical execution plans. - Familiarity with data ingestion, ETL or ELT workflows, and API based integrations. - Strong communication skills and the ability to collaborate with cross-functional stakeholders. - Previous experience in HRMS or large-scale enterprise environments is an advantage.

Role Description TEKsystems is seeking an experienced Finance Transformation Program Manager to lead and coordinate finance-focused initiatives as part of a large-scale SAP ECC to S/4HANA transformation program that is in flight. This role will serve as a critical liaison between the SI and internal Finance, IT, and Business stakeholders to ensure successful delivery of finance process transformation, system implementation, data migration, testing, and change management activities. The ideal candidate will possess strong project management experience within enterprise ERP implementations, particularly SAP Finance transformations, and have a deep understanding of accounting, financial operations, and business process improvement. Project Leadership & Governance - Lead finance workstream activities within the SAP S/4HANA transformation program. - Develop and maintain project plans, timelines, milestones, and deliverables. - Facilitate governance meetings, steering committee updates, and status reporting. - Manage project scope, risks, dependencies, and issue resolution. - Ensure alignment between Finance, IT, PMO, and implementation partners. Stakeholder Management & Change Leadership - Serve as the primary point of contact for Finance stakeholders. - Build strong relationships with executive sponsors, business leaders, and project teams. - Support organizational change management, communications, and end-user readiness efforts. - Drive adoption of new processes and system capabilities. - Manage SI partner and internal teams. - Rescue project that came into a program last minute. - Work through issue resolution. Requirements - Strong project management experience within enterprise ERP implementations. - Deep understanding of accounting and financial operations. - Experience in business process improvement. Benefits - Medical, dental & vision. - 401(k)/Roth. - Insurance (Basic/Supplemental Life & AD&D). - Short and long-term disability. - Health & Dependent Care Spending Accounts (HSA & DCFSA). - Transportation benefits. - Employee Assistance Program. - Time Off/Leave (PTO, Vacation or Sick Leave). Job Type & Location - This is a Contract position based out of Denver, CO. Pay and Benefits - The pay range for this position is $100.00 - $140.00/hr. - Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Workplace Type - This is a fully remote position. Application Deadline - This position is anticipated to close on Jul 10, 2026.