Solutions Engineer

Posted 5 Days Ago
Be an Early Applicant
2 Locations
132K-165K Annually
Mid level
Artificial Intelligence • Big Data • Machine Learning
The Data Platform for AI: High quality training and validation data for AI applications.
The Role
The Solutions Engineer will develop strong technical relationships with customers, support AI autonomy initiatives, manage pilots, and influence product roadmaps, while ensuring a seamless technical customer experience. The role requires balancing engineering expertise and commercial engagement with extensive travel for workshops.
Summary Generated by Built In

Scale plays a vital role in the development of AI. Our customer base is growing exponentially, and you will be on the front lines: ensuring that the world's most innovative companies become passionate, lifelong Scale customers. Scale’s Autonomous Vehicles and Computer Vision (AVCV) business unit is our most mature vertical, supporting most important autonomy programs on the road today. We’re a cornerstone of the greater Scale business and a pillar of the overall industry.

In AVCV, Solutions Engineers (SEs) are fundamentally responsible for building relationships and farming with our most strategic customers as trusted technical account leaders. 

This is a unique, multi-faceted role: SEs have to balance their technical prowess and communication (engineering) with driving commercial velocity (sales) while also scoping operationally complex workflows (ops). As such, SEs in AVCV are critical for net-new customers, but also for growing trusted relationships with strategic partners and communicating technical value across multiple organizational levels, departments, and often countries and continents.

You will be part of a highly specialized team, often influencing multi-million dollar contracts and initiatives with strategic customers. You will be traveling onsite around the world to conduct technical workshops and scope new work, while also conducting demos and pilots with new prospects. This is an exciting opportunity to join a tight-knit team, and influence a business that’s been working with the autonomy industry for nearly a decade!


You will:

  • Partner with Scale Account Executives and Engagement Managers to deliver net-new customer pilots and grow technical relationships with existing customers
  • Partner with Product Engineering and Product Management to influence the roadmap based on what you’re seeing on the front lines in the industry
  • Develop technical domain expertise in areas of 2D and 3D imaging and annotation, multi-sensor fusion and calibration, GPS/INS navigation systems, computer vision and other autonomy-adjacent concepts
  • Be accountable for the technical customer experience and commercial growth, often in the form of growing existing customers with new use cases and subteams
  • Work closely with highly technical engineers at our customers to ensure satisfaction with Scale delivered data, software platforms, and workflows
  • Design, develop and maintain playbooks, demos and other tools for executing successful, efficient pilots and customer expansions
  • Evangelize Scale and interact with customers at major industry events and academic conferences

You have:

  • Strong engineering background preferably in Computer Science, Mathematics, or other Engineering fields
  • 3+ years of experience developing with Python, C++, Java and / or other scripting languages
  • 2+ years of enterprise sales experience, including experience selling deeply technical solutions to business and technical audiences pre and post-sales
  • Strong project management and interpersonal skills, high detail orientation, and strong sense of ownership
  • Presentation skills with a high degree of technical credibility when speaking with a variety of external stakeholders including executives and front-line engineers
  • High level of comfort communicating effectively across internal and external organizations
  • Ability to travel 20-25% of the time, including internationally
  • Intellectual curiosity, empathy, and ability to operate with high autonomy

Nice to haves:

  • Hands-on Experience in Robotics, AI, or Computer Vision- particularly hands on sensor experience using Lidars, cameras and other automotive technologies
  • Previous experience as a technical go-to-market resource
  • Previous experience successfully achieving quota
  • Previous experience selling complex technical solutions to enterprises in the deal size of $500K to $5M+

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:

$132,000$165,000 USD

PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.

About Us:

At Scale, we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to make that happen faster across every industry, and our team is transforming how organizations build and deploy AI.  Our products power the world's most advanced LLMs, generative models, and computer vision models. We are trusted by generative AI companies such as OpenAI, Meta, and Microsoft, government agencies like the U.S. Army and U.S. Air Force, and enterprises including GM and Accenture. We are expanding our team to accelerate the development of AI applications.

We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. 

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at [email protected]. Please see the United States Department of Labor's Know Your Rights poster for additional information.

We comply with the United States Department of Labor's Pay Transparency provision

PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

Top Skills

C++
Java
Python
The Company
San Francisco, CA
523 Employees
On-site Workplace
Year Founded: 2016

What We Do

Scale accelerates the development of AI applications by helping machine learning teams generate high-quality ground truth data. Our advanced LiDAR, image, video and NLP annotation APIs allow machine learning teams at companies like OpenAI, Lyft, Pinterest, and Airbnb focus on building differentiated models vs. labeling data.

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