9d ago

Jr. Enterprise Solutions Engineer

United StatesRemoteFull-timeentry

OtherEnterprise Solutions Engineer

1 views0 saves0 applied

Apply Now

Quick Summary

Key Responsibilities

We use an AI

Technical Tools

OtherEnterprise Solutions Engineer

As a Jr. Enterprise Solutions Engineer, you’ll help translate client business challenges into scalable technical solutions, with a strong focus on data and marketing technology. You’ll work closely with sales, client partners, product, strategy, and delivery teams while learning from experienced solutions engineers. The role combines problem-solving, technical discovery, solution design, research, and client-facing storytelling. You’ll contribute to real opportunities from the outset, developing RFP responses, presentations, demonstrations, and solution documentation. You’ll also gain hands-on experience with data, identity, AI, privacy, and mar-tech capabilities. This is an early-career opportunity designed for someone curious, collaborative, and eager to build expertise in enterprise solutions engineering.

Partner with senior solutions engineers to understand client business and technical requirements, investigate challenges, and translate findings into practical solution approaches.
Capture, organize, and synthesize discovery notes, requirements, and client inputs into clear documentation for internal solutions teams.
Prepare initial materials for RFPs, RFIs, client presentations, solution narratives, and other pre-sales deliverables.
Build demonstrations and proof points that communicate technical capabilities and show how proposed solutions can address client needs.
Conduct client, competitive, industry, and market research to support solution design, positioning, and opportunity strategy.
Maintain accurate and organized solution documentation, deal materials, and other supporting artifacts.
Collaborate across sales, account management, delivery, product, strategic advisory, and solutions teams to ensure alignment throughout the opportunity lifecycle.
Support enterprise discovery by helping identify root-cause business challenges, technical requirements, feasibility considerations, risks, and potential value.
Contribute to the design of scalable data and marketing technology solutions aligned with client objectives and relevant partner capabilities.
Develop the ability to assess data, identity, and technology capabilities against specific client use cases.
Apply AI tools to accelerate research, content development, discovery, solution design, and daily workflows.
Share effective AI-enabled practices and emerging use cases with the broader team.
Develop technical narratives that translate complex concepts into clear, outcome-focused messaging for different stakeholder audiences.

Requirements

~1 min read

Bachelor’s degree with 2+ years of experience in mar-tech, ad-tech, or a data-focused role such as data analyst, data engineer, sales engineer, or a related position.
Foundational understanding of data concepts, including data pipelines, customer data platforms, identity resolution, analytics, or related technologies.
Familiarity with pre-sales processes, including deal strategy, pricing inputs, RFP/RFI processes, new-logo opportunities, and upsell opportunities.
Comfortable using AI tools and demonstrated interest in applying AI to everyday professional workflows.
Strong problem-solving skills and the ability to understand complex challenges while considering feasibility, risk, and potential business value.
Ability to communicate technical concepts clearly and translate complex information into straightforward, outcome-focused narratives.
Strong research, analytical, documentation, and presentation skills.
Collaborative and transparent working style, with the ability to build trust across sales, account management, delivery, strategy, and technical teams.
Growth mindset and genuine curiosity about emerging developments in data, mar-tech, AI, identity, privacy, and related technologies.
Strong ownership and accountability, including the ability to make timely, objective decisions within an assigned scope.
Ability to manage multiple priorities and contribute effectively in a fast-moving enterprise environment.
Willingness to learn and develop expertise in audience data, data products, identity resolution, clean-room capabilities, and related solutions.