Drive long‑term business growth for Google Cloud startup customers by managing the full sales cycle, building consultative relationships, and delivering multi‑year agreements.
Develop and implement sales strategies to surpass business goals and build trusted, consultative relationships with customers.
Manage and track the sales pipeline, from lead to close, ensuring health and accurate forecasting for clear visibility into expected outcomes.
Leverage emerging technology trends, market analysis, and knowledge of cloud solutions to showcase how Google Cloud can transform customers' business.
Manage complex, multi‑year agreements and formulate persuasive proposals that illustrate clear return on investment through customer business cases and comprehensive deployment plans.
Mobilize internal experts and external partners at the right time to drive consumption and deliver a seamless customer experience.
Requirements
Bachelor's degree
Nice to have: consultative selling to executives at startups or digital native organizations
Nice to have: qualifying leads
Nice to have: presenting value proposition of cloud, data, and AI technologies
Nice to have: showcasing current technology trends and Google Cloud differentiators
Develop and evolve Rust verification tools and apply them to real‑world problems across Google’s code base, leveraging formal verification, Lean, Rust, and concurrent separation logic.
Design, demo, and deploy Tonic solutions for customers, leading technical discovery, pilots, onboarding, and support while driving product improvements.
Compensation
Competitive compensation and equity
Responsibilities
Run technical discovery with prospects’ engineering, DevOps and QA teams
Design and demo the solution, handling hard technical questions
Scope pilots with clear success criteria and run them to decision
Own onboarding after the deal closes, deploying Tonic and configuring data pipelines
Diagnose and fix data issues, or explain them to engineers
Requirements
Bachelor's degree in a technical field (computer science, engineering, information systems, math or similar)
Work closely with robotics customers and Ethernovia engineering teams to develop optimized system-level connectivity architectures.
Compensation
The annual salary range for this position is $200,000 - $275,000. The compensation package will also include incentive compensation in the form of pre-IPO ISO options, in addition to base salary and a full range of medical and other benefits.
Responsibilities
Develop end-to-end connectivity architectures for humanoid, mobile, and industrial robots.
Define networking solutions connecting AI processors, cameras, sensors, controllers, and distributed computing nodes.
Create system-level block diagrams, connectivity blueprints, and reference architectures.
Optimize designs for bandwidth, latency, determinism, power, cost, and reliability.
Work directly with robotics OEMs to understand requirements and recommend solutions.
Lead technical advisory and solution design for AI-enabled cybersecurity workflows, partnering with customers to deploy OpenAI models and APIs in security-critical environments.
Responsibilities
Deeply embed with strategic customers as the technical lead for AI-enabled cybersecurity workflows
Lead discovery across AppSec, DevSecOps, vulnerability management, SOC/IR, detection engineering, red team, cloud security, identity, and GRC automation use cases
Build and deliver customer-facing demos, prototypes, workshops, proofs of concept, and reference architectures using OpenAI APIs, Codex, agents, scripts, CLIs, GitHub workflows, CI/CD systems, logs, tickets, scanners, and common security tools
Scope pilots with clear success criteria, data requirements, workflow integrations, evaluation methods, security constraints, safety boundaries, and human approval points
Advise customers on safe implementation patterns, including tool and function calling, structured outputs, retrieval, sandboxing, data handling, guardrails, telemetry, auditability, and approval-gated side effects
Partner with Account Managers to deepen and expand relationships with existing Ramp customers, acting as a technical and financial subject matter expert across the customer lifecycle.
Responsibilities
Partner with Account Managers to demonstrate new Ramp products and features to existing customers, building the business case for expansion through customized demos and workflow illustrations
Evaluate customer requirements for expansion opportunities, assessing fit through use‑case analysis, ROI assessments, and technical scoping
Design and recommend best‑fit Ramp architecture — including when and how to use APIs, ERP integrations, and HRIS connectors — based on each customer’s existing systems and workflows
Act as a technical advisor to customers and internal teams, guiding integration, configuration, and system design decisions without writing code directly
Troubleshoot ERP and integration blockers, and guide customers through complex configuration decisions across NetSuite, Sage Intacct, Microsoft Dynamics, Oracle Fusion, and others
Requirements
Bachelor's degree in computer science, engineering, finance, business, or a related field
Oversee and optimize the mechanical supply chain on a global scale, managing sourcing, procurement, supplier relationships, and ensuring timely, cost-effective delivery of mechanical parts.
Compensation
The estimated base salary range for this position is $190k to $220k, which does not include the value of benefits or a potential equity grant.
Responsibilities
Identify, qualify, and manage global suppliers for mechanical components
Develop and maintain strong relationships with key suppliers
Oversee the entire mechanical supply chain process from supplier selection to delivery
Lead cost reduction initiatives and negotiate favorable terms
Develop and execute supply chain strategies aligned with product development and business goals
Requirements
Bachelor’s degree in mechanical engineering, supply chain management, manufacturing engineering or a related field
Advanced degrees or relevant certifications (e.g., APICS, ISM) are a plus
Ensure reliability and performance of Plaud.ai’s AI products at scale, design and operate highly available, scalable cloud-native systems, own production reliability, incident response, and on-call practices, build observability and reliability automation, define and manage SLOs, SLIs, and error budgets, drive postmortems and reliability improvements, lead incident response and continuous reliability improvement, partner with product and engineering teams on reliability design, improve observability and operational maturity.
Compensation
Market-competitive compensation, global exposure, and a vibrant, creativity-fueled work atmosphere.
Responsibilities
Ensure reliability and performance of Plaud.ai’s AI products at scale
Design and operate highly available, scalable cloud-native systems for AI workloads
Own production reliability, incident response, and on-call practices
Build observability (metrics, logs, tracing) and reliability automation
Define and manage SLOs, SLIs, and error budgets with engineering teams
Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
Requirements
Bachelor’s degree or equivalent practical experience.
Nice to have: Master's degree or PhD in Computer Science or related technical fields.
Nice to have: 4 years of experience in software development.
Nice to have: 2 years of experience with data structures and algorithms.
Nice to have: 2 years of experience in formal verification.
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