Aidaptive Logo

Aidaptive

Solutions Engineer

Reposted 3 Days Ago
Remote
Hiring Remotely in United States
Mid level
Remote
Hiring Remotely in United States
Mid level
The Solutions Engineer will provide technical support for customers, ensure satisfaction, communicate with sales, and analyze customer needs for product enhancements.
The summary above was generated by AI

Jarvis ML’s mission is to be the most accessible and easy to use end-to-end machine learning platform. As a fully managed MLaaS solution, Jarvis ML enables companies to deploy a revenue generating intelligence engine to their businesses and products within minutes. Jarvis ML was founded in 2021 by Rakesh Yadav, who led the Machine Learning Operations platform development for Google Ads and Payments. Jarvis ML's team has more than 50+ years of combined machine learning experience and is funded by Dell Technologies Capital, SHAKTI and more than a dozen veteran Silicon Valley technologists and business leaders.

About the Solutions Engineer Role

We're looking for a qualified Solutions Engineer to oversee and address our customers’ technical needs. You will provide accurate, professional service before and after the point of sale, ensuring customer satisfaction.

As a Solutions Engineer, you should be a tech-savvy professional, able to explain technical details and requirements to a non-technical audience. You should also be results-driven and aspire to reach clear goals.

Ultimately, you'll be tasked with providing technical, product, and business knowledge to support the sales process and strengthen customer relationships.


Solutions Engineer Responsibilities
  • Provide technical support for customers to support pre-sales and post-sales processes

  • Address all product-related queries on time

  • Train customers to use products successfully

  • Give developers with clients’ feedback to help identify potential new features or products

  • Report on product performance

  • Identify solutions to reduce support costs

  • Analyze customers’ needs and recommend upgrades or additional features to meet their requirements

  • Communicate with the sales department to win new business and increase sales

  • Build best practices

  • Keep track of sales performance metrics


Solutions Engineer Requirements
  • 3+ years work experience as a Technical account manager and/or Solutions Engineer for a enterprise-grade SaaS product - bonus if it's in the eCommerce space

  • Solid technical background with hands-on expertise in digital technologies

  • Familiarity with software and front-end development

  • The ability to understand customers’ needs and suggest timely solutions

  • Outstanding verbal and written communication skills

  • Strong analytical and problem-solving skills

  • BSc degree in Computer Science or relevant field
HQ

Aidaptive Cupertino, California, USA Office

Cupertino, California, United States, 95014

Similar Jobs

13 Hours Ago
Remote or Hybrid
100K-125K Annually
Mid level
100K-125K Annually
Mid level
Artificial Intelligence • Big Data • Cloud • Information Technology • Software • Big Data Analytics • Automation
Provides technical support throughout the sales cycle by delivering product demonstrations, leading proof-of-concept evaluations, supporting cloud architecture discussions, completing RFIs and RFPs, and presenting solutions to technical and executive audiences. Partners with sales teams, channel partners, customers, product management, marketing, and services teams. Requires observability expertise, troubleshooting ability, strong communication skills, and travel up to 30%.
Top Skills: .NetAdvanced ObservabilityAnsibleApplication Performance ManagementAWSAzureCi/CdContainersCSSDevOpsDynatraceGCPGoHTMLJavaJavaScriptKubernetesLinuxNode.jsOpenshiftPHPPuppetServerless FunctionsSite Reliability EngineeringTerraformWindows
5 Days Ago
Easy Apply
Remote or Hybrid
United States
Easy Apply
160K-185K Annually
Senior level
160K-185K Annually
Senior level
Fintech • Information Technology • Software • Financial Services
Partner with account executives in enterprise pre-sales by addressing technical requirements, delivering customized demonstrations, building UAT environments, managing proof-of-concept exercises, conducting architecture and security reviews, and scoping solutions for implementation handoff. The role requires collaborating across sales, product, engineering, and professional services while supporting fintech and banking customers with identity, fraud, credit, and compliance solutions.
Top Skills: APIsAWSCurlEncryptionObject-Oriented ProgrammingPostmanSso
5 Days Ago
Remote or Hybrid
San Francisco, CA, USA
177K-237K Annually
Senior level
177K-237K Annually
Senior level
Artificial Intelligence • Big Data • Software • Analytics • Business Intelligence • Big Data Analytics
Build and lead Hex’s technical partner enablement function for SI and consulting partners. Responsibilities include creating certification curricula, workshops, sandbox environments, demo libraries, technical collateral, onboarding programs, trainings, architecture reviews, proof-of-value support, and technical objection handling. The role also channels partner feedback to Product and Engineering, tracks enablement metrics, and supports partner-led pipeline. Travel of approximately 25–30% is required.
Top Skills: DatabricksDbtFivetranHexPythonSnowflakeSQL

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account