Abacus Insights

• Own the Requirements-to-Design Arc • Lead discovery sessions with client subject matter experts to understand the why and what behind each use case: the business context, pain points, expected outcomes, and success criteria, rather than just the surface-level data ask. • Translate each use case into a set of clear, testable requirements, with the success criteria and non-functional requirements that define what done looks like, keeping full traceability from business need to requirement. • Document the requirements unambiguously for the client and downstream teams, then translate them into a design the developers can build from: the source-to-target data flow, transformation logic, and business rules that produce the intended output. • Determine the appropriate grain and structure of a dataset given the business context, so the design answers the real question rather than an approximation of it — and trace how that grain decision ripples into every downstream report, model, or program that consumes the data. • Map the dependencies before finalizing a design: which other workstreams, reports, or client use cases touch this same data, and how a change here could break or benefit them. • Apply systems thinking as a default habit, not an exception: recognize when a design built for one client, state, or use case can become a reusable pattern, and actively design toward that reuse rather than discovering it in hindsight. • Work Hands-On With Data • Write and execute SQL to analyze and probe data, test assumptions, and prototype throughout requirements and design. Hands-on data work is core to this role, not occasional. • Be the Client-Facing Anchor • Drive requirements-gathering and clarification conversations with clients, since incomplete or poorly elicited requirements undermine everything built downstream. • Represent client intent throughout the engagement and remain an active point of contact through delivery. • Translate fluently between business and technical audiences, so both sides share the same understanding. • Collaborate Across Delivery • Be the central node connecting the client and the internal team, holding the business context and design drivers that shape the build. • Act as the client's SME for Solution Architects, Product, QA, Account Management, and Program Management, giving them clean hand-offs with the context, business rules, and logic they need to execute without rework or reinterpretation. • Hold the wider view across a multi-workstream engagement: understand how a decision made for one workstream affects the others, and flag those ripple effects before they surface as rework.

• Manage end-to-end delivery of multiple large-scale projects or multiple smaller projects, ensuring timelines, scope, and quality are consistently achieved • Coordinate closely with Client Delivery Managers to understand client requirements and translate them into delivery objectives, milestones, dependencies, and sequencing that support an accurate and effective project schedule. • Apply industry standard project management practices across Schedule Management, Risk Management, Communications Management, and Stakeholder Engagement to improve delivery predictability, transparency, and cross-functional accountability. • Partner closely with cross-functional technical teams and client teams to understand delivery needs, constraints, and dependencies, then translate those inputs into clear business-facing decisions, status updates, mitigation plans, and executive-level project health reporting. • Own integrated project schedule management, including work plan development, milestone tracking, dependency management, critical path visibility, variance reporting, and alignment to client requirements. • Maintain disciplined risk and issue management practices, including RAID log ownership, proactive risk identification, mitigation planning, escalation path management, and follow-through on issue resolution. • Conduct detailed resource planning and capacity management to support realistic delivery commitments and schedule execution. • Facilitate regular status meetings to maintain project health visibility, confirm decisions and next steps, and ensure timely escalation of risks, issues, and dependencies.

• Act as the primary delivery owner for assigned clients, managing end-to-end delivery outcomes. • Proactively identify opportunities to create value beyond the contract, strengthening client partnerships. • Align scope, timelines, risks, and capacity across Implementation PMs, CSDs, Solutions, Product, and Engineering, driving cross-team collaboration and accountability. • Own forecasting, capacity asks, and resource planning for the account, partnering with offshore teams to optimize resource allocation. • Ensure compliance with delivery stage gates, SOWs, change requests, and governance. • Leverage automation and GenAI tools to streamline reporting and improve transparency. • Drive delivery execution, unblock teams, escalate proactively, and ensure commitments are met. • Govern account-level delivery artifacts (Schedules, RAID Logs, Delivery Management Plan, etc.) to ensure cross-team alignment on priorities, risks, and issues. • Lead regular client governance, risk/issue reviews, and status meetings, maintaining a strong client presence and trust. • Manage delivery-related escalations and represent Abacus in all delivery forums. • Lead client conversations, clarify business priorities, understand use cases, and translate them into delivery expectations. • Champion client feedback loops to enhance satisfaction and retention. • Coordinate with offshore Implementation PMs to ensure all project management (task tracking, day-to-day execution, etc.) is executed, while you retain ownership of client relationships and strategic decisions. • Align internal teams (Product, Solutions, Engineering, Delivery) with client objectives and value metrics. • Partner with CSDs on commercial strategy and client engagement monitoring.

• Author the project architecture design documents, including data flows, sequence diagrams and overall system architecture, that will drive the technical implementation of the solutions. This role will primarily focus on defining solutions associated with CMS Interoperability, but may also work on other data solutions. • Work across business and IT teams to understand the current business and system capabilities and determine the desired state to define the overall technology strategy roadmap • Work closely with cross-functional teams, including business experts, technical business analysts, project managers, sales / account executives and data engineers to successfully implement client projects which reduce technology costs and solution redundancy. • Collaborate with Product Management to identify client-specific requirements that may translate into an existing standard product feature or a future feature on the Abacus product roadmap. • Define the solution architecture visions for designated components that describe the long-term goals as well as near-term needs of the client. • Provide mentorship to internal teams on business needs and use cases for seamless client implementation. Provide ongoing support to address questions and issues raised by the implementation team.

• Own the strategy, planning, execution, and optimization of multi-touch, multi-channel demand generation programs aligned to pipeline and revenue goals. • Translate business and growth objectives into integrated campaign strategies, audience segmentation frameworks, and channel plans. • Test “zero tech stack” ABM campaigns leveraging HubSpot, LinkedIn and Apollo across email, social and custom landing pages. • Establish and own success metrics, including influenced revenue, pipeline contribution, CPL, conversion rates, and ROI. • Analyze performance trends and proactively adjust strategy to improve outcomes and scale what works. • Lead the development of campaign messaging and content strategy across channels, ensuring alignment with product positioning and buyer needs. • Independently create and oversee high-quality long-form and short-form content across email, paid media, landing pages, newsletters, and lifecycle programs. • Adapt messaging for multiple audiences, including executive buyers, economic decision-makers, and practitioner-level users. • Leverage product marketing playbooks and AI tools to increase content velocity, quality, and consistency. • Advise on campaign execution and optimization within HubSpot, including workflows, lead management, reporting, and attribution. • Independently manage and optimize LinkedIn Ads campaigns at scale, including audience strategy, creative testing, budget allocation, and performance optimization. • Bring a deep understanding of paid media formats, related measurements, creative best practices, and funnel-stage alignment. • Provide strategic oversight of Google Ads, ensuring performance accountability and alignment with broader campaign goals. • Provide clear creative direction and campaign requirements to designers and external partners to ensure assets align with strategy and channel needs. • Influence cross-functional stakeholders through strong communication, data-backed insights, and clear recommendations. • Act as a senior individual contributor who raises the bar for campaign quality, execution rigor, and measurable impact.

Role Description We are seeking an experienced Technical Account Manager with a strong focus on client data testing to support our growing client base. This role is an individual contributor reporting to the Senior Manager, Client Technical Support. The successful candidate serves as the primary technical liaison between the product implementation team and production support — while also leading client data testing efforts including UAT strategy, execution, and sign-off. The Technical Account Manager is responsible for ensuring the client's production environment operates at optimal levels, resolving technical issues in a timely manner, driving customer satisfaction, and continuously partnering with the Senior Manager, Client Technical Support to improve processes. Approximately 60% of this role is dedicated to core Technical Account Management responsibilities and 40% to leading client data testing engagements. This role requires the ability to balance concurrent priorities across active testing engagements and ongoing production support, often for the same client. This role requires a strong technical background, excellent communication skills, and a passion for helping customers succeed with complex solutions. Qualifications - Experience supporting complex healthcare SaaS data-driven platforms. - Strong background in technical support, escalation management, and client-facing problem solving. - Experience leading or coordinating UAT or QA efforts. - Proficiency in SQL for data validation and root cause analysis in cloud environments (e.g., Snowflake, Databricks). - Clear, concise communication with technical and non-technical stakeholders. - Ability to manage multiple priorities in fast-paced client environments. - Bachelor’s degree in a relevant field or equivalent experience. - Off hours/weekend work may be required during testing cycles or critical production events. - Willingness to travel approximately 5–10% to client locations to build and sustain executive-level relationships. Requirements - Specific to Client Data Testing: - Scrum Master certification or equivalent experience working in agile/scrum delivery environments. - Experience leading a QA effort for cloud software, or similar experience. Benefits - Unlimited paid time off – recharge when you need it. - Work from anywhere – flexibility to fit your life. - Comprehensive health coverage – multiple plan options to choose from. - Equity for every employee – share in our success. - Growth-focused environment – your development matters here. - Home office setup allowance – one-time support to get you started. - Monthly cell phone allowance – stay connected with ease.

• Act as a senior technical escalation point during production incidents • Lead real-time incident triage, mitigation, and recovery efforts • Drive root cause analysis (RCA) with a focus on systemic, long-term fixes • Identify recurring failure patterns and push for architectural or operational improvements • Partner with Customer Success and Engineering to manage customer impact during incidents • Own post-launch reliability, stability, and operational quality of core systems • Investigate and resolve complex field issues and production defects • Ensure fixes developed during incidents or customer escalations are up streamed into the core product • Improve operational readiness of services through better runbooks, monitoring, and alerting • Reduce operational toil by converting repeated manual work into automation • Engage directly with strategic customers to solve real-world, production-grade technical challenges • Support complex deployments, integrations, and escalations in customer environments • Act as a trusted technical partner to customers during high-impact issues • Translate customer learnings into concrete product, platform, and operational improvements • Contribute to reusable tools, playbooks, and best practices that accelerate future deployments • Serve as a subject matter expert for AWS-hosted production systems • Troubleshoot and resolve issues across: • AWS compute, storage, networking, IAM, and security • Databricks jobs, clusters, and Spark-based data pipelines • Debug performance degradation, scalability issues, job failures, and data correctness problems • Partner with platform and data teams to harden systems for reliability, scale, and operability • Write production-quality code to: • Automate operational workflows • Improve reliability and observability • Eliminate manual intervention and reduce incident frequency • Contribute primarily in Python, with exposure to JVM-based systems as needed • Review code with a strong emphasis on operability, resiliency, and maintainability • Advocate for “build it so it can be operated” engineering standards • Provide technical leadership without formal authority, influencing design and operational decisions • Mentor engineers through pairing, reviews, and incident leadership • Collaborate closely with Product, Engineering, Data, and Customer teams • Operate effectively in high-pressure, ambiguous environments, especially during customer-impacting incidents

• Author the project architecture design documents, including data flows, sequence diagrams and overall system architecture, that will drive the technical implementation of the solutions. • Work across business and IT teams to understand the current business and system capabilities and determine the desired state to define the overall technology strategy roadmap • Work closely with cross-functional teams, including business experts, technical business analysts, project managers, sales / account executives and data engineers to successfully implement client projects which reduce technology costs and solution redundancy. • Collaborate with Product Management to identify client-specific requirements that may translate into an existing standard product feature or a future feature on the Abacus product roadmap. • Define the solution architecture visions for designated components that describe the long-term goals as well as near-term needs of the client. • Provide mentorship to internal teams on business needs and use cases for seamless client implementation. Provide ongoing support to address questions and issues raised by the implementation team.

• Build and ship production-grade, automated validation frameworks, test harnesses, and evaluation pipelines across the AI lifecycle (design → deploy). • Design and evolve an AI testing platform integrated with Databricks and MLflow, enabling repeatable testing, traceability, and auditability. • Create large-scale, scenario-based test suites (hundreds to thousands of cases) to validate agentic workflows end-to-end, including edge cases, long-tail scenarios, and failure modes. • Validate orchestration behavior (tool use, memory, decision logic) and stress-test non-deterministic system behavior before production. • Embed quality by design: define system contracts, guardrails, and safe-degradation patterns at key boundaries. • Define measurable quality signals for LLM systems (grounding, hallucinations, relevance, latency, cost) and integrate them into CI/CD pipelines as automated quality gates. • Ensure AI validation runs automatically on model, prompt, and code changes—enabling continuous quality enforcement. • Build reusable libraries and components so teams can adopt consistent AI quality practices quickly. • Own aspects of AI release readiness, including defining go/no-go criteria based on measurable quality thresholds. • Partner with AI, platform, security, and delivery teams to translate mission needs into clear quality criteria, tradeoffs, and confidence levels.

• As a Senior Manager, Engineering for DevOps, Infrastructure, and Release Engineering, you will lead teams responsible for the reliability, scalability, and safe delivery of our SaaS platforms. • This role owns the end-to-end release lifecycle—through CI/CD, environment promotion, and production deployment—ensuring releases are repeatable, observable, auditable, and low-risk. • You will balance senior-level people leadership with deep technical oversight of release engineering systems, cloud infrastructure, and operational excellence. • You will partner closely with Product Engineering, Quality Engineering, Security, and Operations to eliminate release friction, reduce deployment risk, and improve time-to-value without compromising stability or compliance. • This role is ideal for an experienced leader who has lived through failed releases, scale pain, and operational incidents—and knows how to design systems and teams that prevent them from recurring. • Conduct regular 1:1s, performance reviews, goal setting, and career development planning. • Hire, onboard, and retain senior DevOps and release engineering talent. • Foster a culture of operational ownership, blameless postmortems, and high availability.