Solutions Manager: Data-Driven Freight Proposals

Einride; Austin (TX); On-site; USD 130,000 - 150,000; Full time

Benefits offered by this job

Medical, Dental, and Vision coverage

401(k) plan with company match

25 days PTO, 15 sick days, 15 holidays

Annual wellness stipend

Job summary

Einride in Austin/NYC seeks a Solutions Manager to drive electric freight sales by analyzing customers’ freight network data and transforming it into compelling, data-driven proposals. You will collaborate with product, sales, operations, charging, and public affairs to deliver impactful solutions.

You’ll lead data analysis, shape pricing proposals, and craft stories for executive discussions while mentoring junior staff and optimizing internal AI-enabled workflows.

Qualifications

• Bachelor's degree in a technical field or equivalent experience.
• 4–6 years in analytical, customer-facing roles in logistics or tech.
• Strong data analytics and storytelling to drive client adoption.
• Experience with AI tools for workflow optimization is a plus.

Responsibilities

• Analyze customer freight data and turn it into actionable insights.
• Shape proposals and pricing based on data-driven outcomes.
• Develop compelling narratives and presentations for clients.
• Lead customer discussions with executive stakeholders.
• Refine engagement workflows and internal tools with AI.
• Mentor junior team members and collaborate cross-functionally.

Skills

Data analysis

Sales storytelling

Adaptability

Communication

Education

Bachelor's degree in a technical field

Tools

Excel

Google Sheets

Google Slides

Data Studio

Looker

Python

Claude AI

Gemini AI

Job description

Einride in Austin/NYC seeks a Solutions Manager to drive electric freight sales by analyzing customers’ freight network data and transforming it into compelling, data-driven proposals. You will collaborate with product, sales, operations, charging, and public affairs to deliver impactful solutions.

You’ll lead data analysis, shape pricing proposals, and craft stories for executive discussions while mentoring junior staff and optimizing internal AI-enabled workflows.