Client Solutions Manager managing a portfolio of enterprise customers for an on - demand expert network. Driving account growth and coaching a high - performance team alongside product and engineering.
About the role
- Solutions Architect facilitating enterprise AI deployments working with data-rich organizations to bring predictive applications into production. Guiding customers throughout the deployment lifecycle to ensure success.
Responsibilities
- Lead technical discovery to pinpoint high-feasibility, high-impact use cases where NEXUS demonstrates clear ROI
- Partner with Sales to drive the technical win by scoping and building "Art of the Possible" demos, running competitive benchmarks, and prototyping solutions on customer data
- Own the technical strategy for customers, maintaining deep relationships with senior stakeholders and defining the long-term strategy for adoption and expansion
- Lead the end-to-end delivery project, coordinating Forward Deployed Engineers and customer teams to resolve technical blockers and drive alignment across IT, Governance, and Business stakeholders
- Design robust solution architectures and integration patterns that ensure production-grade performance in complex enterprise environments (On-prem, VPC, Legacy systems)
- Translate patterns from the field into high-signal engineering tickets for Product and Research to inform the roadmap and model evolution
- Codify winning deployment strategies into reusable assets and reference architectures to accelerate the entire Solutions Architect team.
- Travel 50% of the time
Requirements
- 5+ years of experience in technical consulting or customer-facing technical roles (e.g. Solutions Architect, Data Scientist, Sales Engineer, ML engineer)
- Proven ability to lead complex technical implementations, spanning traditional machine learning and/or modern Generative AI systems, with an understanding of cloud and on-prem architectures
- Strong experience working with enterprise customers, including navigating multi-stakeholder environments and deployment cycles
- Strong written and verbal communication skills to convey complex technical concepts to both technical and non-technical audiences
- Hands-on technical proficiency with a focus on data manipulation (Python, Pandas, SQL) to execute rapid prototyping and analyze customer datasets independently.
- A collaborative mindset - excited to work cross-functionally, manage trade-offs and balance competing priorities across teams
- Demonstrated ability to own problems end-to-end, learn quickly, and fill in knowledge gaps as needed to deliver outcomes
- Humble, team-oriented attitude with a bias toward action and doing what’s necessary to help the broader team win
Benefits
- Competitive compensation with salary and equity
- Comprehensive health coverage, including medical, dental, vision, and 401K
- Fertility support, as well as paid parental leave for all new parents, inclusive of adoptive and surrogate journeys
- Relocation support for employees moving to join the team in one of our office locations
- A mission-driven, low-ego culture that values diversity of thought, ownership, and bias toward action
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
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