Senior Solutions Engineer

Tabnine·Remote(United States)

Sales

WFA Digital Insight

The demand for skilled solutions engineers in the AI and software development space is on the rise, with a notable 25% increase in job postings over the last year. As companies like Tabnine pioneer AI-assisted software development, professionals with a strong background in software development and DevOps are in high demand. With over 75% of companies adopting remote work, the ability to work effectively in a distributed team is crucial. Tabnine stands out for its innovative approach to making AI more reliable and effective in the enterprise. Before applying, candidates should be prepared to showcase their technical expertise, especially in front of enterprise buyers, and understand how to articulate the value of AI-powered solutions to key decision-makers.

Job Description

About the Role

The Senior Solutions Engineer role at Tabnine is pivotal in driving the company's go-to-market strategy, focusing on selling real-world Generative AI solutions to large engineering organizations. This role is not just about individual developer productivity but about integrating AI systems into the broader enterprise context. The successful candidate will be part of a team that is revolutionizing how software development is approached, making AI more reliable, safe, and effective.

As a Senior Solutions Engineer, you will work closely with the sales team to understand complex customer environments and map those requirements to the right Tabnine solution. This involves a deep understanding of the software development lifecycle, the ability to articulate technical solutions, and the capacity to drive technical strategy from the first meeting through to the close and expansion of sales.

The role covers the US region, requiring the ability to partner with sales teams, run technical discovery, demos, architecture conversations, and rollout planning with engineering leadership and other key stakeholders. The ideal candidate has a software development or DevOps background and a proven track record in solution engineering, particularly in front of enterprise engineering buyers.

What You Will Do

Own the technical evaluation components of the sales process for accounts across your assigned territory.
Partner closely with Account Executives to drive technical strategy from the first meeting through close and expansion.
Interface with technical decision-makers or influencers in key accounts, such as VP Engineering, CTO, platform engineering, architecture, DevEx, AppSec, and developers.
Understand how customers build software today, including their architecture, SDLC, developer workflows, governance requirements, and what would need to be true for AI to be trusted in their environment.
Articulate the various Tabnine deployment options, including SaaS, VPC, on-premises, and fully air-gapped deployments.
Run live demos and POVs that demonstrate how the Enterprise Context Engine helps AI tools understand system boundaries, dependencies, architectural patterns, code review signals, and organizational memory.
Define and execute a scalable POV program with clear success criteria tied to buyer concerns such as first-pass acceptance, review cycles, rework, time to resolution, and policy/compliance coverage.
Help customers understand how Tabnine can improve the tools they already use, rather than forcing a rip-and-replace approach.
Work across repositories, code review, CI/CD, documentation, ticketing, and other systems that shape software development inside the customer environment.
Define and execute techniques to scale 1:1 conversations to 1:many, such as recorded webinars, POV templates, workshops, white papers, or other creative scaling techniques.
Meet or exceed revenue and pipeline goals as part of a sales team.
Evangelize AI-powered software development through keynotes, webinars, field events, social media, or other technical audience promotion techniques.
Track and provide feedback to Product and Engineering on customer usage patterns, deployment blockers, feature requests, and competitive intelligence.

What We Are Looking For

A deep knowledge of the software development lifecycle with hands-on experience in software development.
7+ years in Solutions Engineering, Sales Engineering, or Solutions Architecture.
Proven track record in solution engineering, especially in front of enterprise engineering buyers.
Strong understanding of DevOps practices and tools.
Excellent communication and presentation skills.
Ability to work in a fast-paced environment and adapt to changing priorities.
Strong analytical and problem-solving skills.
Experience with AI-powered software development tools is a plus.
Knowledge of cloud platforms such as AWS, GCP, Azure.

Nice to Have

Experience with Tabnine's products or similar AI-powered software development tools.
Certifications in cloud computing, DevOps, or related fields.
Participation in open-source software development projects.

Benefits and Perks

Competitive salary and benefits package.
Opportunity to work with a pioneering company in AI-assisted software development.
Remote work arrangement with flexibility to work from anywhere in the US.
Professional development opportunities, including training and conference attendance.
Access to the latest technologies and tools in software development and AI.
A dynamic and collaborative work environment with a team of talented professionals.
Generous PTO and health insurance package.
Stock options or equity participation.
Recognition and reward for outstanding performance.

How to Stand Out

Tip: Highlight your experience with software development and DevOps practices, especially in an enterprise context.
Ensure your resume and cover letter demonstrate a deep understanding of AI-powered software development and its applications.
Prepare examples of how you have successfully articulated technical solutions to non-technical stakeholders.
Be ready to discuss your experience with cloud platforms and how you have integrated AI tools into software development workflows.
Show enthusiasm for the potential of AI in software development and your willingness to continuously learn and adapt.
Consider creating a portfolio or presenting case studies of your previous work in solution engineering or sales engineering to stand out.
During the interview, ask informed questions about the company's approach to AI-powered software development and its plans for future growth.

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