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Bland.ai

Solutions Engineer

Bland.ai, San Francisco, CA, United States


About Bland.ai
At Bland.ai, our goal is to empower enterprises to make AI-phone agents at scale. Based out of San Francisco, we're a quickly growing team striving to change the way customers interact with businesses. We are backed by some of Silicon Valley's finest; including founders of Twilio, Affirm, ElevenLabs, and many more.

This is a full-time role in San Francisco with an expectation of 3 days minimum in the office a week.

Role Description:

This is a full-time role located in San Francisco, CA, though it is ok to be remote sometimes! As a Solution Engineer at Bland, your primary responsibility will be ensuring the success of our enterprise customers as they go live with their AI phone agents. You will help with prompting, integrations, and directly with customers to make sure they have whatever they need to succeed. This is a hands-on, customer-facing role. We are a start-up, and we need people who understand what that means.

We aren't a super traditional team, but we are an extremely effective one. We love unique backgrounds, hard workers, and intelligent people who take pride in everything they do.

Things You Might Do:

  • Onboard enterprise customers, helping with initial prompting, integrations, and set-up.
  • Weekly check-in calls with project leaders, weekly workshops with engineers.
  • Anything the customer needs; your job is to take the actions needed to make that happen.

You Will…

  • Work closely with our customer success and sales teams to better understand our customers' needs and how we can ensure their success.
  • Build conversational pathways for and with our customers.
  • Spend time on customer calls, providing support to sales.

Required Skills and Experience:

  • A minimum of 2+ years of work experience in customer success, sales engineering, software engineering, or a similar position.
  • Experience with AI/ML applications and comfort with prompt engineering.
  • A minimum of 1+ years in a customer-facing engineering role, ideally in enterprise settings.
  • Obsessed with ensuring customers are successful.
  • Attention to small details and enjoy collaborating cross-functionally on a small team.
  • Comfortable working full-stack, from building React components to developing APIs to integrating with third-party services.
  • Willingness to work outside the typical 9-5 hours; this position will involve being available at odd hours.

Bonus Points:

  • Experience in building enterprise-level AI services.
  • Experience with LLMs.
  • Experience at a start-up.

Benefits and Pay:

  • Healthcare, dental, vision, all the good stuff.
  • OTE $120,000-$150,000.
  • Every tool you need to succeed.
  • Equity.

If you don't have the perfect experience, that's fine! We're a bunch of drop-outs and hackers.

Working at a start-up is really hard. We work a lot and we figure things out on the fly.

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