Program Manager

• Own delivery end-to-end — full visibility into timelines, deliverables, risks, dependencies, and owners
• Build and maintain clear implementation plans that map customer dates, Attuned deliverables, customer dependencies, and internal next steps
• Partner with AI Engineering to configure, tune, and deliver high-quality AI agents for each customer
• Serve as the named operational point of contact for customer and partner program asks, making sure inbound requests are acknowledged, triaged, and routed to the right Attuned owner
• Identify and resolve issues, chasing internal and external blockers and escalating with GTM and Operations leadership when needed
• Own recurring customer meetings (weekly standups, implementation reviews, executive business reviews) — agenda setting, KPI reporting, and follow-through on action items
• Own customer health after go-live — tracking adoption, call-volume ramp, and agent performance, and acting on warning signs before they become escalations
• Translate platform impact into the outcomes customers care about — calls recovered, appointments booked, wait times reduced — and report them in KPI reviews and executive business reviews
• Build the post-launch relationships that drive retention and renewal, serving as the customer's primary operational point of contact and making sure open requests keep moving
• Surface expansion signals and partner with Health Account Executives, who own the commercial relationship, to grow each account
• Build and refine implementation playbooks as the customer base grows
• Build lightweight systems for tracking owners, dates, dependencies, and follow-up across customer and partner programs
• Surface product feedback from the field into our product development process
• Identify operational gaps and lead process improvements proactively

Senior Program Manager, Customer Delivery

Backend Engineer

• Design and maintain enterprise databases, including stored procedures, indexing, views, SQL scripts, and database objects.
• Develop and optimize ETL pipelines and workflows using SSIS, Python, PySpark, and SQL Server.
• Build data ingestion and transformation workflows across raw, staging, curated, and analytics data layers.
• Develop and optimize SQL scripts and stored procedures for data conversion, validation, and ongoing processing.
• Execute large-scale data migration projects, including data cleansing, validation, and transformation across enterprise systems.
• Design and implement logical and physical data models (ERDs).
• Develop database components supporting transactional and reporting systems.
• Build and maintain reporting solutions using SSRS and Power BI.
• Monitor, troubleshoot, and optimize SQL Server database performance.
• Provide production support, including troubleshooting performance issues and participating in on-call support when needed.
• Collaborate with developers, business users, QA teams, and project stakeholders.
• Participate in Agile ceremonies, development activities, code reviews, testing, and release cycles.
• Provide technical documentation and knowledge transfer.

Database Developer

Consultant

• Initiate outbound calls, emails, and messages to potential clients.
• Respond promptly to inbound inquiries.
• Engage in conversations to uncover client needs and goals.
• Clearly explain service offerings and recommend next steps.
• Schedule follow-up calls or connect clients with the right team members.
• Log interactions and maintain accurate notes in our CRM.

Client Consultant

Advisor

• Connect with individuals exploring financial services.
• Guide clients through the discovery process.
• Recommend tailored solutions supporting personal or business goals.
• Educate clients on next steps and facilitate onboarding.
• Track outreach activity and manage follow-up communication in CRM.
• Build long-term client rapport and ensure satisfaction.

Account Advisor

Associate

• Initiate conversations with potential clients and respond to inbound inquiries.
• Understand each client’s unique goals, challenges, and decision-making process.
• Recommend tailored financial solutions based on client input and available data.
• Guide clients through onboarding, product selection, and service implementation.
• Maintain regular contact with clients to support retention and satisfaction.
• Communicate insights and client feedback to internal teams to help improve offerings.

Client Associate

Account Specialist

Client Account Specialist

Agent

• Establish and maintain connections with individuals, teams, and organizations.
• Understand client goals and recommend tailored strategies to help them succeed.
• Conduct meetings to present options, answer questions, and provide clarity.
• Help clients understand tools, resources, and services available to them.
• Expand your network through referrals, outreach, and ongoing engagement.
• Offer continuous support to ensure a high-quality client experience.

Account Agent

• Proactively reach out to clients and handle inbound inquiries
• Discuss client goals and align solutions accordingly
• Provide clear explanations of services and next steps
• Track activity and maintain up-to-date records in CRM
• Support retention efforts through ongoing communication

Data Scientist

• Assist TSD with data analytic products by providing highly skilled and authoritative expertise on analytic methods.
• Perform data quality analysis on source tables to identify any abnormalities or inconsistencies.
• Review, maintain, and provide support using all existing fraud indicators developed by TSD.
• Develop and refine repeatable processes for efficiently combining and analyzing large data sources (including relational tables, structured and unstructured datasets).
• Collaborate closely with criminal investigators to determine and execute strategies to support cases; proactively address and communicate potential data quality issues and adapt analysis to shifting case needs; adhere closely to federal rules of criminal procedure governing protected information (e.g., Rule 6(e)).
• Design, develop, and implement advanced statistical and machine learning models targeted at identifying fraud, improper payments, or non-compliance within SBA programs.
• Utilize indicators of potential fraud, improper payments, or non-compliance to develop and test predictive models.
• Assist in developing case leads for SBA OIG investigations based on model outcomes.
• Coordinate with the Data Engineering Team to ensure system architecture is designed to efficiently support machine learning models.
• Integrate and scale natural language processing methods to parse, clean, and analyze large corpora of unstructured or semi-structured text data, utilizing OCR, semantic similarity algorithms, and large language models as needed.
• Provide detailed documentation of all methodology, test models, and production models; maintain records in compliance with criminal evidentiary requirements.
• Develop visualizations and dashboards to demonstrate methodological choices, outcomes, and predictive capabilities of machine learning models; iteratively solicit and integrate end-user feedback.
• Provide outcomes and recommendations in multiple formats, including data summaries and visualizations for investigative staff, and executive summaries for SBA OIG leadership.
• Create programming and automation techniques to improve task efficiency using tools such as SharePoint, Python, Microsoft Excel, Power BI, and others.
• Identify new business questions to expand the scope of analysis and reporting.

Senior Data Scientist

Data Engineer

• Assist TSD with data products by providing highly skilled and authoritative expertise on data engineering methods and best practices, including code-first development approaches and modern pipeline design patterns.
• Design, implement, and maintain an efficient, secure, stable, and flexible data architecture that supports products and end-users, with all assets managed via source control.
• Design, implement, and maintain ELT/ETL pipelines for efficient processing of source data in Azure Synapse and Azure Machine Learning (using SDK V1 and SDK V2)
• Review, maintain, and improve existing architecture and pipelines, including periodic audits to address bottlenecks, deprecated dependencies, and architecture drift.
• Establish quality controls for maintaining all pipelines, and introduce error handling, logging mechanisms, and validation checks.
• Incorporate source control for all pipelines and data analytics codebases to enable iterative code development while ensuring data architecture stability.
• Optimize the ingestion, processing, and storage of a wide variety of datasets and data types, including modern columnar formats such as Parquet.
• Develop self-service capabilities for SBA OIG analysts to query and export data for investigations and audits.
• Coordinate with data scientists to ensure the architecture efficiently supports machine learning algorithms and data pipelines in Azure Machine Learning.
• Develop robust standard operating protocols (SOPs) dictating the authoring, development, validation, publishing, execution, and monitoring of all data pipelines and assets in Azure environment.
• Provide detailed documentation of the data architecture, including data dictionaries, ER diagrams, and pipeline process maps.
• Maintain and expand the environment with additional datasets and services upon request, following a defined intake and testing process prior to production deployment.
• Stay current with emerging AI tools relevant to data engineering and contribute to exploratory efforts evaluating automation and LLM-assisted capabilities.

Senior Data Engineer

General

• Connect with individuals exploring financial services.
• Guide clients through the discovery process.
• Recommend tailored solutions that support personal or business goals.
• Engage with new leads through calls, emails, and digital platforms.
• Educate clients on next steps and facilitate a seamless onboarding process.
• Track all outreach activity and manage follow-up communication in CRM.
• Build long-term client rapport and ensure satisfaction.

Customer Success Manager

• Own a portfolio of accounts across multiple tiers; manage relationships, health, and outcomes end-to-end
• Lead structured onboarding and training for new clients, ensuring fast time-to-value and strong product adoption
• Monitor account health and proactively engage at-risk accounts before churn signals escalate
• Drive renewal conversations, negotiate contracts, and maintain a high net revenue retention rate
• Conduct regular check-ins and strategic touch points with key stakeholders
• Translate platform data into actionable use cases tailored to each client's business goals
• Maintain clean, up-to-date records in CRM (HubSpot/ChurnZero) — activity logging, health scores, and contact data
• Own upsell and expansion opportunities within your book of business end-to-end, from identifying growth potential to closing the deal

Junior Customer Success Manager – Consumer Trends SaaS

Account Executive

• Connect with prospective and existing clients through calls, emails, and follow-ups
• Learn about each client’s goals and provide personalized recommendations
• Support clients through onboarding and ensure smooth product setup
• Maintain accurate and detailed client records in CRM systems
• Conduct periodic check-ins to provide ongoing support and strengthen relationships
• Collaborate with internal teams to ensure client satisfaction and success

Sales

• Proactively reach out to clients and handle inbound inquiries.
• Discuss client goals and align solutions accordingly.
• Provide clear explanations of services and next steps.
• Track activity and maintain up-to-date records in CRM.
• Support retention efforts through ongoing communication.

Wix

Senior Program Manager, Customer Delivery

Database Developer

Client Consultant

Account Advisor

Client Associate

Client Account Specialist

Account Agent

Account Specialist

Senior Data Scientist

Senior Data Engineer

Account Advisor

Junior Customer Success Manager – Consumer Trends SaaS

Account Executive

Account Sales Specialist