Build the Platform That
Thinks Ahead

You'll own the core inference layer that runs Clyvoro's ML models in production — the system that processes millions of predictions per day with sub-10ms latency. This is a high-ownership role: you'll design, build, and scale the infrastructure that sits at the heart of everything we ship.

• Design and maintain the low-latency model serving infrastructure handling millions of requests/day
• Build and optimize distributed systems for real-time feature computation and prediction serving
• Collaborate closely with ML engineers to productionize new model architectures efficiently
• Drive reliability improvements — SLO design, alerting, graceful degradation, and runbook documentation
• Mentor junior engineers and establish backend best practices across the platform team

• 5+ years of backend engineering experience, with strong proficiency in Go, Rust, or Python
• Deep experience building and operating distributed systems at scale (Kafka, gRPC, Redis, etc.)
• Familiarity with ML serving patterns — batching, caching, model versioning, A/B routing
• Track record of owning production systems with high-availability requirements
• Strong written communication and comfort working asynchronously across time zones

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As a Staff Engineer on Data Infrastructure, you'll define how Clyvoro ingests, stores, and serves terabytes of customer data in real time. You'll set the technical direction for our data platform, partner with ML and product teams, and be the go-to person for making hard architectural calls.

• Lead the design and evolution of Clyvoro's data ingestion and storage architecture
• Own the streaming data pipeline (Kafka, Flink, Spark) end-to-end, from connectors to feature stores
• Establish engineering standards for data quality, schema management, and observability
• Partner cross-functionally with ML, backend, and security teams on platform-level decisions
• Identify and drive 10x improvements in performance, reliability, and cost efficiency

• 8+ years of experience in data or infrastructure engineering, including staff-level IC work
• Expert-level knowledge of stream processing systems (Kafka, Flink, Spark Streaming)
• Strong experience with cloud data platforms (Snowflake, BigQuery, Databricks, or similar)
• Demonstrated ability to set technical direction and influence across teams without authority
• Experience in a high-growth startup or scaling data platform from 0→1 at a larger company

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You'll build the data visualization and dashboard experiences that enterprise users live in every day — turning complex ML model outputs into clear, fast, beautiful interfaces. This is a high-craft role for someone who cares as much about performance and accessibility as they do about pixel-perfect design.

• Build and maintain Clyvoro's real-time dashboard product using React and D3/Recharts
• Own the design-to-code pipeline in close partnership with our product designer
• Drive performance: fast initial loads, smooth 60fps interactions, and efficient data fetching
• Build reusable component systems and contribute to our internal design system
• Collaborate with backend engineers on WebSocket and API contract design for live data

• 4+ years of frontend engineering experience with React and TypeScript
• Strong data visualization skills — experience with D3, Recharts, Vega, or similar
• Obsessive attention to detail in UI quality, accessibility (WCAG), and cross-browser behavior
• Experience working from Figma designs and contributing feedback to designers
• Bonus: experience building enterprise SaaS products or analytics tools

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You'll own the roadmap and strategy for Clyvoro's core platform — the connectors, pipelines, model studio, and deployment tooling that enterprise data teams rely on. This means deep customer empathy, tight collaboration with engineering and design, and strong opinions backed by data.

• Own the product vision, roadmap, and prioritization for the core platform surface area
• Conduct regular customer discovery with enterprise accounts to identify pain points and opportunities
• Write crisp PRDs, define success metrics, and lead cross-functional delivery from kick-off to launch
• Partner with Sales and Customer Success to ensure product–market fit signals flow back into the roadmap
• Set the quality bar for the team — push back on scope, ship incrementally, and measure outcomes rigorously

• 5+ years of product management experience, ideally in B2B SaaS or data/AI infrastructure
• Strong technical foundation — you can read API docs, understand data pipelines, and have productive conversations with engineers
• Experience owning a product area with multiple competing stakeholders and enterprise customers
• Clear, direct written communication style and strong facilitation skills
• Bonus: background in data engineering, ML tooling, or analytics platforms

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You'll be Clyvoro's first dedicated product designer — shaping the visual language and interaction model of a platform used by enterprise data teams around the world. You'll work end-to-end: from research and wireframes through high-fidelity specs and design system components.

• Own the end-to-end design process for core product flows — from discovery through delivery
• Build and maintain a scalable design system in Figma that engineers can implement directly
• Run user research sessions with enterprise customers and synthesize findings into design decisions
• Establish the visual identity and interaction patterns for new product areas
• Partner with frontend engineers to ensure high-fidelity implementation and fast iteration

• 4+ years of product design experience, with a portfolio of shipped B2B SaaS products
• Expert Figma skills — components, auto-layout, variables, and design tokens
• Strong systems thinking: you design components, not screens
• Experience designing complex data-heavy UIs (tables, charts, filters, dashboards)
• Comfortable translating ambiguous problem spaces into clear, structured design solutions

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You'll work on Clyvoro's forecasting engine — the models that predict demand shifts, churn, fraud signals, and operational anomalies across our enterprise customer base. This is applied ML work: you'll take research ideas from paper to production and own the full model lifecycle.

• Develop and productionize time-series forecasting and anomaly detection models
• Design feature engineering pipelines and evaluate model performance across customer datasets
• Continuously improve model accuracy, latency, and resource efficiency in production
• Collaborate with backend engineers to integrate models into the inference platform
• Stay current with ML research and bring relevant techniques into the product

• 4+ years of ML engineering experience with production models (not just research/notebooks)
• Strong proficiency in Python and ML frameworks (PyTorch, scikit-learn, statsmodels)
• Deep familiarity with time-series methods — ARIMA, Prophet, LSTMs, Transformers for sequences
• Experience with ML experiment tracking, model registries, and CI/CD for models
• Bonus: experience with probabilistic forecasting or uncertainty quantification

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Clyvoro's enterprise customers can't deploy black-box models — they need to explain every prediction to regulators, clinicians, and executives. You'll lead research into explainability methods and translate them into production-grade features that make Clyvoro the most trustworthy AI platform on the market.

• Research and implement state-of-the-art explainability methods (SHAP, LIME, attention mechanisms, concept bottlenecks)
• Work closely with product to design human-readable explanation UIs for non-technical users
• Publish research findings internally and externally to establish Clyvoro as a thought leader in XAI
• Collaborate with compliance teams and enterprise customers on regulatory requirements (EU AI Act, HIPAA, SR 11-7)
• Build evaluation frameworks for measuring explanation quality, faithfulness, and user understanding

• PhD or equivalent research experience in machine learning, statistics, or a related field
• Deep expertise in model interpretability techniques and the XAI literature
• Strong publication record or equivalent evidence of research output
• Ability to bridge research and production — you've shipped explainability features, not just papers
• Experience working with stakeholders on compliance or model governance is a strong plus

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You'll own the full sales cycle for enterprise accounts — from initial outreach and discovery through technical evaluation, negotiation, and close. Our AEs are trusted advisors: you'll understand a prospect's data stack, identify where Clyvoro creates the most value, and build champions at the VP and C-suite level.

• Own a quota of $1M–$2M ARR and manage a pipeline of 30–50 enterprise accounts
• Lead multi-threaded deals involving data engineering, IT, legal, and executive stakeholders
• Partner with Solutions Engineers to run technical evaluations and proof-of-concepts
• Contribute to playbook development, competitive positioning, and sales enablement materials
• Provide structured feedback to product on enterprise buyer needs and blockers

• 5+ years of B2B SaaS sales experience with consistent quota achievement at $100k+ ACV deals
• Track record closing complex, multi-stakeholder enterprise deals (6–12 month cycles)
• Comfortable discussing technical topics — data infrastructure, APIs, security/compliance
• Excellent written and verbal communication; strong executive presence
• Experience selling data, analytics, or AI/ML tools is a significant plus

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You'll be the technical bridge between Clyvoro and our enterprise prospects — running proof-of-concepts, answering deep technical questions, and helping customers understand exactly how Clyvoro fits into their stack. The best SEs here become trusted advisors that customers ask for by name.

• Lead technical discovery calls and translate customer requirements into Clyvoro solution designs
• Build and run customized proof-of-concept environments using real or representative customer data
• Answer security, architecture, and compliance questions during enterprise evaluations
• Partner with AEs on RFP responses and technical evaluation criteria
• Feed structured product feedback from evaluations back to the product and engineering teams

• 3+ years in a pre-sales, solutions engineering, or technical consulting role
• Comfortable writing code (Python, SQL) to build demos and integrate with customer data systems
• Strong understanding of data engineering concepts — ETL, APIs, cloud data warehouses
• Excellent presentation skills with both technical and executive audiences
• Experience with AI/ML platforms, BI tools, or data infrastructure products is a plus

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You'll build Clyvoro's marketing function from the ground up — brand, demand gen, content, and analyst relations. This is a builder role: you'll hire the team, establish the strategy, and execute hands-on until we have the team to scale. You'll report directly to the CEO.

• Define and own Clyvoro's brand positioning, messaging architecture, and go-to-market narrative
• Build and execute a demand generation engine across paid, content, events, and partner channels
• Own the website, blog, social media, and content calendar end-to-end
• Establish analyst and press relationships; manage Gartner, Forrester, and key media outreach
• Hire and develop a small but mighty marketing team as the function scales

• 8+ years in B2B SaaS marketing, with 2+ years leading a marketing function or team
• Experience marketing a technical product to data, engineering, or IT buyer personas
• Strong command of demand generation, pipeline metrics, and marketing attribution
• Exceptional writer — you can produce world-class content yourself, not just manage others
• Startup experience: you've built from scratch before and are comfortable with ambiguity

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You'll lead Clyvoro's finance function at a pivotal moment — post-Series B, scaling revenue, and preparing for eventual IPO readiness. You'll own FP&A, accounting, and investor relations, and be a strategic partner to the CEO and board on all financial matters.

• Own FP&A: build and maintain the company financial model, board reporting, and operating plan
• Manage accounting operations, audit readiness, and month-end close processes
• Lead investor reporting and serve as the primary finance contact for existing investors
• Partner with the CEO on fundraising strategy, cap table management, and M&A diligence
• Build and manage a small finance team as the company scales

• 8+ years in finance, with at least 2 years as a Head of Finance or VP Finance at a startup
• Deep experience with SaaS financial metrics (ARR, NRR, CAC, LTV, Rule of 40)
• CPA or Big 4 background preferred; experience with revenue recognition under ASC 606
• Strong Excel/Google Sheets modeling skills; familiarity with NetSuite or similar ERP
• Comfortable as a strategic partner to the CEO, not just a keeper of the books

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You'll own the people function at Clyvoro — recruiting operations, onboarding, benefits, performance cycles, and culture programs. This is a high-ownership role with direct impact on what it feels like to work here every day. You'll report to the COO and work closely with every team.

• Own the recruiting operations pipeline — coordination, scheduling, ATS management, offer letters
• Design and run onboarding programs that get new hires productive and connected quickly
• Manage benefits administration, PTO policies, and employee relations for a distributed team
• Lead bi-annual performance review cycles and 360 feedback programs
• Build culture programs and company rituals that reinforce Clyvoro's values at scale

• 4+ years in HR, People Ops, or talent operations at a high-growth startup
• Experience managing benefits and compliance across multiple US states (international a plus)
• Proficiency with HRIS tools (Rippling, Gusto, Workday, or similar) and ATS platforms (Lever, Greenhouse)
• Strong interpersonal skills — you're the person employees trust with hard conversations
• Operationally excellent: you run tight processes and never let details fall through the cracks

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