Senior Pre Sale Solutions Engineer

Reposted Yesterday
Hiring Remotely in USA
Remote
Senior level
Machine Learning
The Role
The Senior Solutions Engineer supports enterprise AI applications by collaborating with sales, delivering demos, and ensuring customer success, focusing on generative AI and LLM deployment.
Summary Generated by Built In
About Comet

Comet is building the development platform for teams who want to ship robust, reliable, and responsible AI applications. Opik, our open source LLM evaluation framework, has quickly become one of the most popular tools in the space. Our experiment management platform is used by data scientists at companies like Uber, Netflix, and Etsy. Tens of thousands of researchers, engineers, academics, and hobbyists use Comet every day to build the future of AI. 

Working at Comet will give you access to the most exciting work being done in all areas of machine learning. Some of the top researchers and companies working on self-driving cars, drug discovery, particle research, diffusion models, and LLMs use Comet every day. Your work has the potential to accelerate the development of some of the most impactful technology in the world, and you will be doing it alongside a team of passionate, caring individuals. If that sounds exciting, Comet is the right place for you.

Comet is backed by more than $63 million in venture capital funding and powers some of the best machine-learning teams in the world, including Netflix, Uber, Etsy, and Mobileye. We are a remote-first company with offices in New York City (USA) and Tel Aviv (Israel).

You are:

Reporting to the Vice President Global Sales and CS, the Senior Solutions Engineer is a highly technical and customer-facing individual contributor responsible for helping enterprise customers evaluate, deploy, and operationalize Generative AI applications and agents using Opik by Comet.

This role partners closely with Account Executives throughout the enterprise sales cycle and serves as a trusted technical advisor during discovery, product demonstrations, proof-of-concepts, and production readiness discussions. The ideal candidate has experience supporting enterprise AI, developer tooling, observability, infrastructure, or platform technologies and understands how modern AI engineering teams build and scale GenAI systems.

This role requires strong technical depth across LLM workflows, AI evaluation, observability, and AI reliability, combined with the ability to communicate complex technical concepts clearly to both technical and executive audiences. The ideal candidate is hands-on, highly consultative, and capable of building compelling demos and prototype GenAI applications that showcase how Opik helps organizations build reliable AI systems in production.

While this is an individual contributor role, the Senior Solutions Engineer will also act as a senior technical leader within the organization by mentoring peers, improving technical processes, and helping standardize demo, POC, and customer engagement best practices.

This individual will work cross-functionally with Sales, Customer Success, Product, Engineering, and Marketing to drive technical wins, accelerate enterprise adoption, and support Comet’s MEDDPICC and Challenger-based sales process.

Responsibilities:
  • Partner with Account Executives to support enterprise opportunities from technical discovery through close
  • Lead technical discovery sessions, architecture discussions, workshops, demos, and proof-of-concepts
  • Build and deliver compelling demos and sample GenAI applications showcasing Opik’s capabilities across:
    • LLM evaluation
    • Agent observability
    • Trace and span analysis
    • Regression testing
    • Prompt and configuration management
    • Production AI monitoring and governance
  • Design and execute enterprise proof-of-concepts with measurable success criteria tied to customer business outcomes
  • Help customers operationalize AI agents and GenAI applications in production environments
  • Support MEDDPICC qualification including technical pain validation, decision criteria alignment, competitive positioning, and deployment readiness
  • Partner closely with Customer Success to ensure smooth customer handoffs into onboarding and post-sales deployment
  • Collaborate with Product and Engineering teams to communicate customer feedback, product gaps, technical requirements, and competitive insights
  • Build reusable demo assets, technical enablement content, and evaluation frameworks for the field organization
  • Assist in developing standardized demo flows, technical messaging, and customer engagement best practices
Preferred Qualifications:
  • Passion for customers, technology, and Generative AI
  • Strong customer-facing communication and presentation skills
  • Hands-on experience with:
    • Generative AI applications
    • LLMs and AI agents
    • AI evaluation and observability
    • APIs and developer tooling
    • Cloud and infrastructure concepts
  • Experience building demos, prototypes, or technical workflows for enterprise software platforms
  • Proven experience running enterprise proof-of-concepts and technical evaluations
  • Strong understanding of enterprise sales motions and MEDDPICC qualification
  • Ability to simplify complex technical concepts into clear business value and customer outcomes
  • Strong problem-solving, organizational, and cross-functional collaboration skills
  • Self-starter with strong ownership mentality and bias toward execution
Requirements:
  • 5+ years in Solutions Engineering, Sales Engineering, Customer Engineering, or related customer-facing technical roles
  • Experience supporting enterprise SaaS, AI infrastructure, developer tooling, or observability platforms
  • Experience working with AI/ML workflows, APIs, developer platforms, or cloud infrastructure
  • Bachelor’s Degree in Computer Science, Engineering, Mathematics, or related technical field preferred
Bonus:
  • Experience with Generative AI infrastructure or LLM tooling
  • Experience supporting open-source GTM motions
  • Familiarity with AI observability, evaluation, or production monitoring platforms
  • Experience building AI demos, agent workflows, or prototype GenAI applications

What We Offer:
  • Competitive base salary based on proven experience, skills and location
  • Competitive benefits package
  • Flexible working hours and remote/Hybrid work options
  • Opportunities for professional growth and development
  • A collaborative and innovative work environment
  • The chance to work with cutting-edge technologies and projects
  • This role will be located in the USA working remotely with a global team (large presence also in the Europe and Israel) - some flexibility with work hours is required.
  • Some travel to customer on-sites is required`

Comet is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees without regard to race, religion, color, sex, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship status, uniform service member status, marital status, pregnancy, age, medical condition, physical or mental disability, genetic information/characteristics, and any other characteristic protected by State or Federal law.

Skills Required

  • 5+ years in Solutions Engineering, Sales Engineering, Customer Engineering, or related customer-facing technical roles
  • Experience supporting enterprise SaaS, AI infrastructure, developer tooling, or observability platforms
  • Experience working with AI/ML workflows, APIs, developer platforms, or cloud infrastructure
  • Bachelor's Degree in Computer Science, Engineering, Mathematics, or related technical field
Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: New York, NY
87 Employees
Year Founded: 2017

What We Do

Comet is a meta machine learning platform designed to help AI practitioners and teams build reliable machine learning models for real-world applications by streamlining and connecting the machine learning model lifecycle. By leveraging Comet, users can employ machine learning experiment tracking to track, compare, explain and reproduce their models. Backed by thousands of users and multiple Fortune 100 companies, Comet provides insights and data to build better, more accurate AI models while improving productivity, collaboration and visibility across teams.

Similar Jobs

Acquia Logo Acquia

Artificial Intelligence Engineer

AdTech • Cloud • Marketing Tech • Productivity • Software • Analytics • Automation
Easy Apply
Remote or Hybrid
United States
1100 Employees
180K-200K Annually

PNC Bank Logo PNC Bank

System Reliability & Support Specialist Sr. - Core Apps and Payroll Team

Machine Learning • Payments • Security • Software • Financial Services
Remote or Hybrid
USA
55000 Employees
45K-122K Annually

ServiceNow Logo ServiceNow

Account Executive

Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Remote or Hybrid
New York, NY, USA
29000 Employees
139K-230K Annually

ServiceNow Logo ServiceNow

Senior Customer Success Manager

Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Remote or Hybrid
San Diego, CA, USA
29000 Employees
102K-179K Annually

Similar Companies Hiring

Blissway Thumbnail
Computer Vision • Fintech • Hardware • Internet of Things • Machine Learning • Software • Transportation
Denver, CO
24 Employees
Yooz Thumbnail
Software • Machine Learning • Fintech • Financial Services • Cloud • Automation • Artificial Intelligence
Aimargues, FR
470 Employees
Credal.ai Thumbnail
Software • Security • Productivity • Machine Learning • Artificial Intelligence
Brooklyn, NY

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account