Attio Logo

Attio

Solutions Engineer [Pre and Post-Sales] - Mid-Market

Reposted 7 Days Ago
Be an Early Applicant
Hybrid
2 Locations
160K-200K Annually
Mid level
Hybrid
2 Locations
160K-200K Annually
Mid level
The Solutions Engineer guides customers through pre and post-sales stages, architecting custom solutions, leading demos, and ensuring successful software adoption.
The summary above was generated by AI
Attio is on a mission to redefine CRM for the AI era.

We’re building the first AI-native CRM — designed for the most ambitious go-to-market teams. We recently announced our $52M Series B, led by GV (Google Ventures), with support from Redpoint, Balderton, Point Nine, and 01A. Our team thrives on solving complex technical challenges, delighting our users, and setting a new standard for the industry.

About the role

Our Customer Success team is integral to how we build, grow, and deliver value. We help customers adopt Attio quickly, integrate it smoothly, and unlock lasting impact. With technical fluency and deep empathy, we guide teams through complex use cases, share insights that shape the product, and turn great onboarding into long-term success.

We’re looking for a Solutions Engineer who’s resourceful, committed, and deeply curious — and wants to help reinvent how millions of people work.

What you'll do
  • Become an expert in all areas of Attio’s product and how it’s deployed across industries and departments

  • Guide our highest-value customers through pre-sales, post-sales, and ongoing customer lifecycle stages as their main technical point of contact by

    • Architecting custom solutions spanning Attio’s data model, no-code workflow builder, API, reporting engine, and integrations with other GTM products

    • Leading demos, trainings, and technical solutioning sessions with customers on Zoom and occasionally in person

    • Consulting on general RevOps and GTM-tech best practices

  • Partner with Account Executives during the sales process to close our largest new business deals

  • Independently manage customer’s post-sale onboarding

  • Serving as the relationship owner for our top accounts

  • Internally, serve as a voice of and advocate for our customers across our product, engineering, and marketing teams, contributing your expertise in how our customers use Attio, and how Attio fits into the broader sales-tech ecosystem, to company strategy

What you'll bring
  • 2+ years B2B SaaS experience independently managing the technical side of customer relationships pre- or post-sale

  • Expertise architecting SaaS software deployments for clients across varied industries and use cases, and comfort working with APIs, no-code development platforms, and data model across a variety of SaaS products

  • Deep technical understanding of the B2B tech ecosystem, ideally in GTM Tech

  • Familiarity with fast-growing startups, and adaptability to work in a hybrid role that spans sales, onboarding, and success

What we offer
  • A competitive range of $160,00O to $200,000 OTE [70/30 split]

  • Equity in an early-stage tech company on an incredible trajectory

What does the hiring process look like?
  1. 30-minute introductory phone call with a member of our Talent team

  2. 30-minute interview with our Head of Customer Success

  3. 45-minute technical case interview

  4. Two 30-minute interviews with relevant stakeholders and Mock Demo exercise

  5. 30-minute closing conversation with our CEO

  6. Offer stage

Top Skills

APIs
No-Code Development
SaaS

Similar Jobs

An Hour Ago
Hybrid
New York City, NY, USA
115K-175K Annually
Senior level
115K-175K Annually
Senior level
Artificial Intelligence • Big Data • Healthtech • Machine Learning • Analytics • Biotech • Generative AI
The Senior Scientist II will lead AI-driven projects in oncology, developing agentic frameworks and predictive models while collaborating with teams and pharma partners.
Top Skills: AILanggraphMachine LearningPython
An Hour Ago
Hybrid
3 Locations
90K-150K Annually
Senior level
90K-150K Annually
Senior level
Artificial Intelligence • Big Data • Healthtech • Machine Learning • Analytics • Biotech • Generative AI
The Translational Scientist II will execute research projects utilizing computational analyses of multi-modal data to produce actionable insights for biopharma partners, while effectively communicating complex findings.
Top Skills: AWSCSS3D3DaskDockerFlaskGgplotGitHTML5JavaScriptJupyter NotebooksMatplotlibNumpyPandasPlot.LyRRstudioScikit-LearnScipySeabornTidyverse
5 Hours Ago
Hybrid
New York, NY, USA
148K-200K Annually
Mid level
148K-200K Annually
Mid level
Blockchain • Fintech • Payments • Financial Services • Cryptocurrency • Web3 • Infrastructure as a Service (IaaS)
The AI Operations Lead will identify operational bottlenecks, build AI automations and workflows, and drive cross-team collaboration to enhance efficiency and establish internal AI foundations.
Top Skills: AIAPIsData PlatformsDbtGCPLow-Code ToolsNo-Code ToolsSQL

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