Blend360

Product Manager

• Own the data science product roadmap, aligning business objectives with model development priorities
• Manage inbound requests from Sales and Customer Success teams, triaging and prioritizing based on business impact
• Translate high-level business goals into product requirements for the DS squad and engineering org
• Oversee model development lifecycle, including dataset validation, model tradeoffs, and cost considerations
• Ensure model quality and robustness before reaching production, identifying issues early in the development cycle
• Define success metrics and scope data science initiatives in collaboration with technical teams
• Drive coordination across teams with a product-first mindset, balancing delivery with strategic thinking
• Act as the central point of contact between the data science squad and the broader engineering organization

Backend Engineer

• Develop and maintain Python-based services and integrations that support IAM and access management platforms.
• Support cloud infrastructure deployments using Infrastructure as Code (Terraform / Terraform Enterprise) with guidance from senior engineers.
• Assist with onboarding internally hosted, SaaS, and homegrown applications into centralized data and access frameworks.
• Help implement and support integrations between IAM tools and enterprise platforms such as IGA solutions, ServiceNow, and Okta.
• Perform data mapping and data management activities to integrate application user access data.
• Contribute to building and maintaining Terraform Enterprise (TFE) projects, AWS resources, and reusable modules.
• Support event-driven and serverless solutions using AWS services (e.g., Lambda, SQS, SNS).
• Assist in designing and supporting APIs and backend services for platform integrations.
• Contribute to CI/CD pipelines, code reviews, and quality standards following best practices.
• Collaborate with the team to ensure platform reliability, security, and scalability.

Python Engineer

Project Manager

• Lead end-to-end project management for tactical marketing initiatives, campaign executions, and smaller portfolio-level projects.
• Build and manage project timelines, workback schedules, dependencies, approvals, and milestone tracking to ensure on-time delivery.
• Manage multiple concurrent workstreams while balancing shifting priorities and business needs.
• Identify execution risks, escalate blockers proactively, and drive issue resolution to maintain delivery quality and speed.
• Utilize workflow and asset management tools (such as Aprimo or similar platforms) to manage project intake, routing, approvals, and asset submissions.
• Ensure adherence to established governance, campaign workflows, and operational standards.
• Maintain project documentation, trackers, meeting notes, and status updates to ensure stakeholder visibility and accountability.
• Partner with internal marketing stakeholders, creative teams, agency partners, and external vendors to coordinate deliverables and approvals.
• Contribute to messaging refinement, creative execution planning, and campaign readiness for select initiatives.

Marketing Project Manager, Financial Services

Supply Chain

• own the end-to-end discovery lifecycle – stakeholder interviews, process walkthroughs, data audits, current-state assessment, and gap analysis across plan, source, make, deliver, and return
• define what a supply chain control tower looks like at each maturity horizon
• translate findings into a phased 2–3 year implementation roadmap
• build defensible TCO, ROI, and value-attribution models
• evaluate master data maturity, data lineage, governance, and integration readiness
• serve as the trusted advisor to C-suite and VP-level supply chain leaders
• facilitate executive workshops, present findings
• direct a cross-functional team of functional analysts, data engineers, and solution architects during discovery
• assess integration requirements against existing ERP, planning, and WMS platforms

Supply Chain Lead

• Lead end-to-end project management for tactical marketing initiatives, campaign executions, and smaller portfolio-level projects.
• Build and manage project timelines, workback schedules, dependencies, approvals, and milestone tracking to ensure on-time delivery.
• Manage multiple concurrent workstreams while balancing shifting priorities and business needs.
• Identify execution risks, escalate blockers proactively, and drive issue resolution to maintain delivery quality and speed.
• Utilize workflow and asset management tools (such as Aprimo or similar platforms) to manage project intake, routing, approvals, and asset submissions.
• Ensure adherence to established governance, campaign workflows, and operational standards.
• Maintain project documentation, trackers, meeting notes, and status updates to ensure stakeholder visibility and accountability.
• Partner with internal marketing stakeholders, creative teams, agency partners, and external vendors to coordinate deliverables and approvals.
• Facilitate clear handoffs between business, creative, legal, compliance, and production teams.
• Support portfolio-level messaging initiatives and campaign execution efforts across multiple business priorities.
• Contribute to messaging refinement, creative execution planning, and campaign readiness for select initiatives.

Project Management Lead, Marketing Operations

Data Scientist

• Lead the development and training of Marketing Mix Models (MMM) to support data-driven marketing decisions
• Design, build, and maintain data pipelines for MMM features and scoring processes
• Perform input and output data validation to ensure model accuracy and reliability
• Translate complex model outputs into clear business insights and actionable recommendations
• Collaborate with cross-functional teams and stakeholders to align analytics solutions with business needs
• Manage multiple priorities and deliverables under tight and shifting deadlines
• Ensure high-quality standards in all deliverables, with strong attention to detail
• Create clear and compelling presentations to communicate findings and recommendations
• Handle stakeholder interactions, including managing expectations and navigating challenging conversations
• Adapt to dynamic environments with frequent interruptions, urgent requests, and evolving priorities

Lead Data Scientist

Program Manager

• Lead one of the most consequential data transformation efforts
• Establish operating model, governance structures, and decision-making frameworks
• Maintain a continuously updated view of the in-flight data initiative portfolio
• Communicate program status, priority shifts, and strategic implications
• Lead steering committee preparation and facilitation
• Build trusted relationships across VP and C-suite levels

Marketing Data Program Management

• Own and lead the monthly Marketing Data Decision Forum
• Design and maintain decision frameworks governing data sources and campaigns
• Establish a formal intake and evaluation process for new data requests
• Proactively identify, escalate, and manage risks and tradeoffs
• Maintain a continuously updated view of the entire in-flight data initiative portfolio
• Communicate program status and strategic implications to executive audiences
• Lead steering committee preparation and facilitation
• Build trusted relationships across VP and C-suite levels

Director, Marketing Data Program Management

• Own and lead the monthly Marketing Data Decision Forum — engaging Marketing, Technology, and Analytics leadership to surface decisions, document outcomes, and drive follow-through with accountability.
• Design and maintain decision frameworks governing data sources, identity resolution, profile management, and campaign dependencies, including explicit ownership assignment where ambiguity exists.
• Establish a formal intake and evaluation process for new data requests, replacing ad hoc submission with structured, defensible routing and prioritization.
• Proactively identify, escalate, and manage risks, blockers, and tradeoffs before they impact delivery — keeping executive stakeholders informed and decisions ahead of issues.
• Maintain a single, continuously updated view of the entire in-flight data initiative portfolio — encompassing status, ownership, dependencies, and sequencing across parallel workstreams.
• Synthesize input from Marketing, Technology, and Analytics teams into a coherent, living roadmap explicitly connected to business value outcomes — not just delivery milestones.
• Communicate program status, priority shifts, and strategic implications to executive and working-level audiences with the context and confidence of a trusted advisor.
• Partner with delivery teams to ensure alignment on priorities, expected outcomes, and work sequencing — promoting consistent, repeatable program management standards across the organization.
• Produce and maintain the authoritative program artifacts: initiative portfolio, governance and cadence documentation, risk and decision logs, and executive communications.
• Lead steering committee preparation, facilitation, and follow-through — ensuring executive stakeholders are equipped to make decisions and act with confidence.
• Build trusted relationships across VP and C-suite levels, operating as a credible, objective voice capable of navigating organizational dynamics and competing agendas.
• Translate technical complexity into executive-ready narratives — bridging the language gap between data and engineering teams and business leadership.

QA Engineer

• Validate data pipelines and ensure data quality, reliability, and consistency across modern data platforms.
• Implement automated quality checks within Databricks pipelines.
• Own reconciliation between source systems and Databricks layers.
• Validate identity resolution outputs and investigate false positives/negatives.
• Perform end-to-end pipeline testing and document QA processes.

Data Quality Engineer

• Ensure data quality, reliability, and consistency across modern data platforms.
• Validate data pipelines and implement automated quality checks.
• Collaborate closely with Data Engineering and business teams.
• Design and implement a data quality framework across Bronze, Silver, and Gold layers.
• Build and maintain automated data quality checks within Databricks pipelines.
• Own reconciliation between source systems and Databricks layers.
• Validate identity resolution outputs in the Silver layer.
• Perform end-to-end pipeline testing to ensure accurate data flows.
• Partner with Data Engineers to define acceptance criteria.
• Support UAT with client business stakeholders.
• Document all QA processes and findings.
• Monitor pipeline health post-deployment and resolve data quality incidents.

• Ensure data quality, reliability, and consistency across modern data platforms.
• Validate data pipelines and implement automated quality checks.
• Collaborate closely with Data Engineering and business teams.
• Design and implement a data quality framework.
• Build and maintain automated data quality checks within Databricks pipelines.
• Own reconciliation between source systems and Databricks layers.
• Validate identity resolution outputs in the Silver layer.
• Perform end-to-end pipeline testing.
• Partner with Data Engineers to define acceptance criteria.
• Support UAT with client business stakeholders.
• Document QA processes, test results, and findings.
• Monitor pipeline health post-deployment and resolve incidents.

AI Engineer

• Lead the design and development of AI-driven solutions for supply chain optimization.
• Build and orchestrate agentic AI systems to automate decision-making processes.
• Develop and integrate machine learning models for predictive analytics.
• Collaborate with cross-functional teams to translate business needs into technical solutions.
• Design user-facing applications using React with a strong focus on UX/UI.
• Ensure scalability, performance, and reliability of AI systems.
• Drive technical decisions and best practices across the AI engineering team.
• Mentor and guide engineers, promoting a high-performance engineering culture.

AI Engineering Lead

• Serve as central driver of execution and governance across strategic marketing initiatives
• Partner with marketing leaders and cross-functional stakeholders to deliver programs on time
• Establish and maintain program governance frameworks
• Develop and manage integrated marketing roadmaps
• Identify risks and proactively implement mitigation strategies
• Lead day-to-day program management activities
• Deliver regular status updates and executive-level reporting

Marketing Program Manager, Wealth Management

Marketing

• Translate high-level campaign strategies into detailed project plans, timelines, and deliverables.
• Manage end-to-end execution across creative, content, media, analytics, and partner marketing workstreams.
• Own production schedules, content calendars, approvals, and workflow management to ensure timely, high-quality delivery.
• Coordinate asset development and campaign activation readiness across internal and external teams.
• Serve as the central point of coordination across marketing, product, analytics, and agency teams.
• Facilitate clear communication, alignment, and handoffs between stakeholders.
• Provide regular updates on campaign status, timelines, risks, and key decisions.
• Support Partner with analytics teams to track KPIs and gather performance insights.
• Manage relationships with agencies and external partners to ensure timely delivery of campaign assets.

Product Manager

Python Engineer

Marketing Project Manager, Financial Services

Supply Chain Lead

Project Management Lead, Marketing Operations

Lead Data Scientist

Marketing Data Program Management

Director, Marketing Data Program Management

Director, Marketing Data Program Management

Data Quality Engineer

Data Quality Engineer

Data Quality Engineer

AI Engineering Lead

Marketing Program Manager, Wealth Management

Senior Marketing Manager, Campaign Execution