Soultions Engineer | Presales

Aera Technology

4d•$160,000 - $180,000

About The Position

Aera Technology is a pioneer in the growing category of Decision Intelligence Platforms and a Leader in the GartnerÂ® Magic Quadrantâ¢ for 2026 â the technology to digitize, augment, and automate decision-making processes with AI and machine learning. Through our AI decision automation platform, Aera Decision Cloudâ¢, we are helping the best-known brands in the world make smarter, faster decisions. Privately-held and VC-funded, we have a global team of over 400 Aeranauts â and weâre growing. We deliver Decision Intelligence innovation and services that enable enterprises to automate and scale decision making with accuracy and speed. We continue to be the trusted choice of market leaders for our proven ability to generate value and unlock opportunities that were previously unattainable. The Sr. Solution Engineer operates as a strategic partner to Sales, jointly accountable for advancing and winning complex enterprise opportunities. Working closely with Account Executives, you will help shape deal strategy from early discovery through final decision, ensuring technical, operational, and business stakeholders align around a clear vision of value. This role requires strong collaboration with sales leadership to qualify opportunities, identify decision drivers, and position Aeraâs Decision Intelligence platform as a transformative capability rather than a point solution. In partnership with Sales, you will lead the technical narrative of the deal, translating customer challenges into a compelling future-state powered by Aera. Through discovery, workshops, demos, and proof-of-value engagements, you will guide customers through a structured decision journey that builds confidence in both the platform and the business outcomes it enables. The most successful Solution Engineers operate as trusted advisors to customers and trusted partners to Sales, combining technical expertise with commercial awareness to accelerate deal momentum and maximize win probability. The ideal candidate will be based in PST, and/or in the Western United States.

Requirements

15+ years experience - 3 Years Pre-Sales role for an enterprise software firm
Supply Chain Operations Management exp i.e., Procurement, Manufacturing, Distribution, Inventory Management etc.
Outstanding interpersonal and communication skills
Well versed in process manufacturing and CPG, Chemicals, Pharma, F&B etc.
Experience with value engineering and business case development
Experience writing proposals and SOWs
Bachelorâs degree, STEM Engineering or Computer Science
Ability to travel

Nice To Haves

Experience in Data Science / Machine Learning a plus
Masterâs degree pref.

Responsibilities

Effectively articulate the value and differentiators of Aeraâs Decision Intelligence platform in initial and ongoing client meetings and discussions.
Conduct standard and customized live demos within Aeraâs demo environment, tailored to each prospectâs business challenges and objectives
Build Decision Intelligence Skills within the Aera Workspace to design innovative, customer-specific demos and showcase Aeraâs capabilities efficiently.
Develop a deep understanding of Aeraâs library of Decision Intelligence Skills to inspire customers and illustrate transformative use cases.
Drive proof of concept (POC), proof of value (POV), and skill-building initiation workshops
Facilitate or support benefit assessments, ROI analyses, and business case development to demonstrate tangible value creation.
Contribute to proposal development, RFx responses, and solution documentation in collaboration with sales and delivery teams.
Collaborate closely with Delivery and Customer Success teams to define and present compelling solution deployment roadmaps.
Lead discovery sessions, design thinking workshops, and executive presentations to align solutions with customer priorities.
Use energetic, consultative storytelling to convey the business value and transformative potential of Aeraâs Decision Intelligence platform.
Combine a strong foundation in data, analytics, and enterprise technology with business acumen to engage both technical and business audiences effectively.