Senior Forward Deployed Engineer, Managed Services
Outreach is hiring a Senior Forward Deployed Engineer, Managed Services for a remote role open to applicants in India. Level rates it ; you can apply on Outreach.
Level's read on this job
- Works on AI ●●●○ is how Level rates this forward deployed engineer role: the daily work is on AI products, without building the model.
- The posting lists this role as remote.
- Tools and skills the posting cites include Databricks, AI agents and CRM.
- Level classifies it as a senior role.
- Level lists 22 other open roles at Outreach.
AI in this role
Help customers build and configure AI agents and maximize adoption within an agentic AI revenue platform.
About the Team
Managed Services sits within Professional Services. We're Outreach, CRM, and GTM technology experts who help customers get full value from the platform once implementation ends.
Our Managed Service Consultants are trusted advisors. They drive adoption, flag risk, and grow usage, so customers keep exceeding their goals.
The Role
You'll join our India-based Managed Services team, chartered with building our customers' AI Agents beyond what was set up during implementation: opening new use cases and growing Amplify credit and product consumption.
You’ll own and expand our largest, most complex portfolio of accounts and guide customers through best practices and hands-on configuration to drive outcomes and deepen adoption. You will partner with the leaders and team to set the technical standard for the practice and be a go-to resource when other consultants hit edge cases. You'll stay technically fluent in Outreach's evolving capabilities, AI included, so you can configure and troubleshoot in real time.
The role mixes technology and business consulting with solution design and project management. You'll work closely with Customer Success and Account Executives, build rapport fast, and influence customer outcomes.
You'll own results for your book of business against Managed Services KPIs, and report to a Practice Manager, Managed Services.
Key Performance Indicators: Manage a book of business with an average QoQ utilization rate of 70%, with a focus on Amplify credit and product consumption — ultimately supporting renewal rates and the minimization of churn and contraction.
Location: This is a remote role, based in Hyderabad. There may be occasional in-person or team events and if asked to attend, it will be during local IST hours.
Working Hours: This is a customer-facing role and will require working US-based hours (night-shift allowance provided).
How we rate this
Senior Forward Deployed Engineer, Managed Services at Outreach rates 60 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in forward deployed engineer jobs at this level
Pay
- Typical forward deployed engineer job
- $182k
This posting doesn't list pay. Use the typical forward deployed engineer figure when pay comes up. See forward deployed engineer jobs
Questions you could be asked
- How do you decide when an AI agent can act on its own versus asking for approval first?
- Tell me about a project where consulting was part of your work. What did you do?
- Tell me about a project where configuration was part of your work. What did you do?
- Tell me about a project where customer success was part of your work. What did you do?
- Walk me through how you've used Databricks in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: AI agents, Consulting, Configuration, Customer Success, and Databricks. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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