Build the facility intelligence layer infrastructure has been missing.

Build and ship features across the web app (Next.js, React, TypeScript) and the mobile app (Expo / React Native).

Contribute to the risk intelligence engine — Weibull survival analysis, Monte Carlo simulation, consequence scoring, and the Decision Ledger audit trail.

Design and maintain Postgres schemas, row-level security policies, and the multi-tenant isolation that the DPA promises.

Integrate with the AI provider (Anthropic) for Facility Intelligence features, with attention to prompt design, cost control, and provider-agnostic abstractions.

Review code, mentor newer engineers, and help shape the team’s engineering culture as Rivolq grows.

Strong TypeScript / React fundamentals; comfortable across the stack rather than locked into one layer.

Postgres at depth — you can reason about query plans, indexes, and isolation, not just write SQL.

Product instincts — you can read a spec, push back on what doesn’t make sense, and ship something that respects the user’s time.

Comfort working in early-stage ambiguity. Decisions get made with incomplete information; you make good ones anyway.

Bias toward boring, robust solutions over novel ones.

Experience with statistical modeling, survival analysis, or Monte Carlo methods.

Background in CMMS, EAM, facilities management, or industrial IoT.

Experience operating production systems on Heroku, Postgres at scale, or with similar managed infrastructure.

Past work with LLM APIs and prompt design for B2B applications.

Plan, write, and ship the editorial calendar — blog, case studies, guides, sample report updates — with an eye on the buyer’s actual decisions (capital timing, deferred maintenance, board narratives).

Run the email and nurture program through our transactional email provider; segment by stage and content theme.

Coordinate customer-story production end-to-end: scheduling interviews, drafting the narrative, getting approvals, publishing.

Own analytics for the marketing site (GA4) and report monthly on what’s working and what isn’t — including what to kill.

Help with sales-enablement material — one-pagers, deck slides, RFP responses — in close partnership with the founder.

Strong written voice — you can write something that sounds like a real human in the facilities industry, not generic SaaS copy.

2–5 years in B2B SaaS or technical-product marketing.

Comfortable with light analytics (GA4, sheets) and lighter automation (Zapier, simple workflows).

Hands-on ownership instinct — happy to ship instead of brief.

Discretion. Some of what you’ll see is sensitive (customer infrastructure, pilot results); handling it with care matters.

Familiarity with the facilities, infrastructure, AEC, or CMMS space.

Experience producing case studies or customer stories that named buyers actually approved.

Light design fluency — Figma comfort, the ability to take a screenshot and make it look intentional.

Calibrate Weibull survival parameters for the asset classes we model — chillers, boilers, AHUs, generators, switchgear, pumps, cooling towers, and more.

Validate risk model output against your professional judgment and bring back signal when the model is wrong. Push back on engineers when needed.

Lead or co-lead on-site facility walks during pilot deployments. Read condition. Translate field observations into structured platform data.

Author the technical content that backs the platform: methodology white papers, asset-class deep-dives, pilot retrospectives.

Represent Rivolq in industry conversations — IFMA, APPA, ASHE, SMACNA, AFE — where credibility comes from actual field experience.

5–15+ years working hands-on with building systems — HVAC, electrical distribution, generators, plumbing, fire protection, or large-asset maintenance.

Healthcare, higher-ed, data center, or industrial / manufacturing facilities experience preferred.

PE license preferred but not required if the field experience is strong.

Comfortable communicating technical reasoning to a non-engineering audience (CFO, board member, building owner).

Willingness to travel for pilots — typically 4–8 days a quarter.

CMMS or EAM workflow experience (Maximo, Fiix, Limble, UpKeep, etc.).

Past work on capital planning, facility condition assessments (FCA), or replacement-prioritization studies.

Familiarity with Weibull analysis or survival statistics in an industrial setting.

Experience in life-safety regulated environments (Joint Commission, NFPA codes).