Delivery Engineer, Mixpanel
GTM
$108.5-146.5k
OTE
+ Variable compensation
Digital product analytics
Be an early applicant
Digital product analytics
201-500 employees
Be an early applicant
$108.5-146.5k
OTE
+ Variable compensation
201-500 employees
Company mission
To help companies make better-informed, faster business decisions and produce better products through data analysis.
Role
Who you are
- Has technical, client-facing experience — implementation, onboarding, professional services, technical consulting, solutions, or support engineering are all strong backgrounds, including candidates whose customer exposure has primarily been through support tickets or email
- Skilled at using existing resources, frameworks, and processes to execute — you don't need to build the playbook from scratch to deliver a great outcome with it
- Has led or project-managed technical, customer-facing work — pure technical troubleshooting experience alone isn't enough; we're looking for some track record of owning implementation/onboarding work or a project from start to finish
- Comfortable discussing data architecture, schemas, instrumentation, and API concepts, and conceptually fluent in tools like SQL / Python / SDKs / CDPs / data warehouses (Snowflake, BigQuery, Redshift, etc.) — deep hands-on coding expertise is not required; understanding how these pieces fit together and speaking to them confidently matters more
- Familiar with product analytics implementation methods like SDKs, Customer Data Platforms (CDPs), Event Streaming, Reverse ETL, etc
- Demonstrates familiarity with nearly all aspects of the Mixpanel product
- Demonstrates familiarity with analytics best practices and common implementation patterns across business segments and verticals, and can map those onto customer projects
- Understands basic B2B SaaS post-sales delivery dynamics and uses that knowledge to help set scope and timelines and support basic discovery and project management
- Able to manage timelines, expectations, and competing priorities, and knows when to escalate
- Genuinely curious about and engaged with AI — has experimented with AI tools, workflows, scripts, or agents to solve a problem, and has a point of view on where AI is useful today
- Customer-facing and consultative skills can still be developing — we can coach communication style and consultative presence if the technical aptitude, delivery experience, and curiosity are there
- Excellent written, analytical, and communication skills
- Eager to learn new technologies and adapt to evolving customer needs
What the job involves
- As a member of the Go-To-Market Delivery Engineer team, you will own the post-sales onboarding and data health for customers. Your goal will be to drive data trust, help embed Mixpanel into our customers’ data stack, and deliver on emerging AI integrations — delivering on the full value of Mixpanel as a self-serve analytics platform
- You will work and consult with GTM team members and a diverse array of customers to successfully roll out product analytics to their organization and execute on technical projects and services that delight our customers
- As a Delivery Engineer II, you will be on the front lines with our clients as they integrate Mixpanel into their core product development processes. You'll own onboarding, implementation, and data health for a portfolio of primarily SMB and scaled accounts — using established playbooks, resources, and processes to solve customer problems and keep projects moving on-time and to scope
- This role blends technical ownership of data-related outcomes with implementation. You're comfortable auditing and identifying opportunities for data quality improvements, while also driving structured onboarding work from kickoff to go-live (typically a 30–90 day lifecycle)
- You'll partner closely with your Customer Value Architect (CVA) to monitor data health and remediate issues, and you'll grow your consultative and technical skills as you take on more complex engagements. As you build fluency with Mixpanel's product and the broader data landscape, you'll also start applying AI tools — MCP servers, agent workflows — to your own implementation work, and look for opportunities to sharpen how the team delivers
- Own onboarding, implementation, and data health for a portfolio of primarily SMB and scaled accounts, using existing resources, frameworks, and playbooks to execute
- Field and resolve reactive technical support issues from customers — troubleshooting instrumentation, data discrepancies, and configuration questions — alongside proactive implementation work
- Monitor data health on assigned accounts and proactively work with your CVA on a remediation plan
- Partner with your CVA to define outcomes for customer projects and their associated business impact at the customer's organization
- Keep projects organized and on track, manage expectations and competing priorities, and escalate appropriately when you hit a wall
- Support pre-sales teams in aligning on business goals and metrics that guide data architecture and project outcomes, where these haven't already been uncovered during the sales process
- Engage with customers' engineering, product management, and marketing teams to build rapport and run technical meetings with clear agendas in pursuit of clear outcomes
- Explain technical concepts — data architecture, instrumentation, integration — to varied audiences, tying them back to the problems they're meant to solve
- Run Mixpanel implementations using standard methods, including SDKs, CDPs, event streaming, reverse ETL, and warehouse connectors
- Stay familiar with data governance best practices and lead data governance discussions with customers
- Use AI tools (MCP servers, agent workflows) in your own implementation work to improve output and customize it to the situation
- Identify gaps in implementation playbooks and best practices, and suggest improvements to managers and senior ICs
- Partner with your Account Executive, CVA, and Customer Engineer on business and technical handoffs
- Work with senior members of the team to experiment with new approaches to AI and process improvements
Our take
Understanding customer behaviour is a vital part of any business. Mixpanel allows companies to answer detailed questions about their customers' behaviour over web and mobile applications. Google has struggled to modernise its somewhat clunky analytics platform in recent years, allowing Mixpanel to become an industry leader in the space.
Technology VC firm Sequoia Capital has backed the company, demonstrating its significant growth potential. Mixpanel CEO Max Levchin was also a previous co-founder of Paypal, which may have helped the company facilitate a tie-up with Paypal-owned Venmo early on. Mixpanel now serves thousands of companies from different industries around the world, including Expedia, Uber, Ancestry, DocuSign, and Lemonade.
The company serves 7,700+ customers across its seven global offices. In line with its global expansion efforts, the company has aimed to enhance localized data, helping its clients tailor their offerings to customers in the right way and at precisely the right time. Mixpanel has also focused on expanding its integrations, being available on more platforms such as Google Cloud Marketplace.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
3% employee growth in 12 months
Company
Funding (last 2 of 6 rounds)
Nov 2021
$200m
SERIES C
Dec 2014
$65m
SERIES B
Total funding: $277.3m
Company benefits
- Competitive compensation
- Company stock options
- Sabbatical policy
- Paid time off
- Giving back
- Parental leave
- Mental health
- 401(k) match
- Wellness benefits
- Employee choice first
- Growth dollars
- Professional growth hours
Company HQ
Financial District, San Francisco, CA
Leadership
Amir Movafaghi
(CEO)They started their career at Marriott International before spending 5 years at PwC, and a further 5 years at Twitter. They worked as CFO of Spiceworks from 2015-2017, before joining Mixpanel as COO, and was promoted to CEO the following year.
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