Lead end-to-end delivery of technically complex projects and programs, partnering with architects, tech leads, and DevOps to turn complex technical work into predictable delivery.
Compensation
$130,000—$150,000 USD
Responsibilities
Own end-to-end delivery of technically complex projects and programs
Partner with Solution Architects and Tech Leads to translate business objectives and technical designs into structured delivery plans
Ensure alignment between scope, timeline, and budget
Lead Agile ceremonies including sprint planning, standups, backlog grooming, demos, and retrospectives
Oversee the release and deployment process alongside DevOps
Exceptional Solutions Architect to join the Customer Solutions Team, engaging directly with customers as a trusted advisor to define and demonstrate value across the entire sales cycle.
Compensation
In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits.
Responsibilities
Lead technical discovery to identify and address customers’ needs
Deliver an exceptional pre-sales experience by articulating Fin's value and technical expertise
Conduct impactful, value-based solution reviews and in-depth technical sessions
Design and lead tailored Proof of Concepts (POCs) that showcase Fin's capabilities
Serve as the primary resource for RFPs and customer security questions
Lead technical presales activities, including discovery, solution design, product demonstrations, and proof-of-value engagements for enterprise customers across the EU.
Compensation
Base salary: 80-95k EUR
Responsibilities
Partner closely with Account Executives and Partner AEs throughout the sales cycle
Lead technical discovery sessions to understand customer objectives and challenges
Translate business requirements into technical solutions and MakerSite functionality
Design, develop and deliver product demonstrations and proof-of-value engagements
Facilitate customer value workshops and build confidence in MakerSite
Build K1's customer pipeline and close equipment orders for modular turbine power packages.
Locations (3)
San Francisco, California, United States
Carson City, Nevada, United States
United States
Compensation
We offer a competitive base salary, performance-based sales incentives and meaningful early-stage equity. Our benefits include health, dental and vision insurance.
Responsibilities
Build a focused set of target accounts across data-center operators, power developers and equipment buyers.
Earn access through outreach, relationships, introductions and time in the field.
Build trust with the people who specify, approve, finance and buy the equipment.
Develop a customer champion and reach the decision-makers needed to advance the project.
Build and deploy AI applications that improve spacecraft engineering, manufacturing, and services as part of the AI Strike Team.
Responsibilities
Embed with users to observe actual work, map handoffs and bottlenecks, establish baselines, and define a feasible MVP with the Product Lead and domain owner.
Build application interfaces, backend services, APIs, and workflow automation.
Integrate enterprise and engineering systems through reusable connectors, APIs, and data transformations.
Implement retrieval-augmented generation, structured outputs, and tool calling with grounded answers, citations, and explicit human approval where needed.
Create representative evaluation cases and regression tests.
Lead full-cycle sales of AI solutions to construction industry clients, driving adoption of agentic AI workflows.
Compensation
Base Pay Range:
147,200.00 - 202,400.00 AUD Annual
On Target Earning Range:
294,400.00 - 404,800.00 AUD Annual
This role may also be eligible for Equity Compensation and/or Bonus Incentive Compensation.
Responsibilities
Partner with sales leadership, solutions teams, and account executives to identify and engage general contractors, specialty contractors, and asset owners ready to implement agentic AI workflows.
Lead deep technical discovery with client executives and operational teams, analyzing workflows across submittals, RFIs, estimating, contracts, and financials to uncover measurable business ROI.
Build and deliver tailored technical demonstrations, proofs of concept, and production-ready pilots showcasing LLM-based agents, MCP integrations, and API workflows using client-specific project data.
Configure, tune, and troubleshoot standard and domain-specific AI agents, establishing clear boundaries between standard platform capabilities and custom builds.
Own the full commercial sales cycle from qualification through proposal, pricing, and close, structuring contracts based on consumption sizing, platform credits, and phased adoption models.
Qualify the project behind the interest: operating requirements, site readiness, required power date, budget, procurement process and decision authority.