Solutions Architect (Product)

Pivotal Partners; United States; Remote; USD 125,000 - 187,000; Full time

Job summary

Pivotal Partners is seeking a Solutions Architect – Data Analyst to join their Product team. This hybrid role involves designing solution blueprints, conducting data analysis, and ensuring effective communication between technical and business teams. Ideal candidates will have extensive experience in solution architecture and data analytics, particularly in fintech or AI sectors.

Qualifications

• 7-8+ years in solution architecture, data analytics, or pre-sales engineering for B2B SaaS.
• Expert-level SQL and data wrangling; proficiency in Python (or R) for analysis.
• Familiarity with fraud prevention, credit risk, or AML compliance is a strong plus.

Responsibilities

• Design and maintain reusable solution blueprints for various use cases.
• Lead pre-sales prototypes and PoCs tailored to highlight product capabilities.
• Conduct deep data analysis and feature engineering using SQL and Python.

Skills

SQL

Python

Data Analysis

Feature Engineering

Job description

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Pivotal Partners is exclusively partnered to scale a Series B ($40mil) Gen AI startup. We are looking to aggressively expand our presence by hiring a Solutions Architect for our Product team.

Location: US or Canada (Remote)

Job Description:

We’re hiring a Solution Architect – Data Analyst to join our Product team as the technical bridge between Product, Engineering, and Go-To-Market. In this hybrid role, you'll design and maintain solution blueprints, out-of-the-box (OOB) assets, and proof-of-concept (PoC) environments that let prospects experience product value early in the sales cycle.

You’ll own how our latest GenAI innovations show up in demos and PoCs—ensuring every prototype, dashboard, and workflow reflects the cutting edge of our platform. By translating raw customer data and business goals into clear, compelling technical narratives, you’ll accelerate deals and bring critical field insights directly into the product roadmap.

Key Responsibilities:

• Design and Maintain Reusable Solution Blueprints for fraud, credit, AML, and onboarding use cases—integrating the latest product features and innovations.
• Lead Pre-Sales Prototypes and PoCs, tailoring demos to highlight core and differentiating product capabilities using real or synthetic datasets.
• Conduct Deep Data Analysis and Feature Engineering using SQL, Python, and big data tools to surface risk signals, engineer features, and build rule logic.
• Build Story-Driven and Visual Data Narratives through dashboards, notebooks, and interactive visualizations to clearly convey business value to diverse audiences.
• Create and Maintain Demo Environments, ensuring GTM teams have fast access to realistic, compelling, and up-to-date demo setups.
• Capture Field Insights and Influence Product Roadmap, channeling customer needs and solution patterns back to Product and Engineering.
• Develop Enablement Materials, including playbooks, how-to guides, and training content to support internal teams and partners.

Requirements:

• Experience: 7-8+ years in solution architecture, data analytics, or pre-sales engineering for B2B SaaS—ideally in fintech, risk, data, or AI.
• Technical Skills: Expert-level SQL and data wrangling; proficiency in Python (or R) for ad-hoc analysis and feature engineering.
• Solution Expertise: Proven ability to create PoCs/pilots that convert prospects into customers and keep demo environments current with rapid product releases.
• Domain Knowledge: Familiarity with fraud prevention, credit risk, or AML compliance is a strong plus.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology, Analyst, and Product Management

• Industries

  Software Development, Computer and Network Security, and Financial Services

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