Head of Engineering — VelorStrategy Workspace
United States or Middle East · Remote · Consulting OS, client workspaces, delivery dashboards
Role Overview
This role leads the engineering for VelorStrategy Workspace — Stratenity’s consulting operating system for boards, client rooms, delivery
dashboards, and execution workflows. Approximately 70% of the role is focused on technical architecture, product engineering, and platform
reliability, with 30% focused on cross-functional collaboration with advisory, design, and data teams to translate consulting workflows into
robust product features.
Key Responsibilities
- Own the architecture and roadmap for VelorStrategy Workspace across back-end, front-end, and integration layers.
- Design and scale secure workspaces, client rooms, and delivery dashboards for consulting and strategy teams.
- Translate advisory frameworks into productized flows, templates, and reusable components.
- Guide engineering standards for reliability, observability, security, and data privacy.
- Collaborate with advisory and product leads to define backlog, milestones, and release cadence.
- Mentor and grow a small, high-caliber engineering team working in a remote, distributed model.
Qualifications
- Degree in Computer Science, Software Engineering, or related field; MBA or product background is a plus.
- Experience architecting and shipping B2B SaaS products (preferably in consulting, analytics, or workflow tools).
- Strong familiarity with modern web stacks (e.g., TypeScript/Node, React, Postgres, cloud-native architectures).
- Comfort working with data models for engagements, dashboards, roles/permissions, and multi-tenant design.
- Proven ability to balance speed, quality, and technical debt in an early-stage product environment.
Head of Engineering — Straten AI
United States or Middle East · Remote · AI agents, copilots, orchestration, governance
Role Overview
This role leads engineering for Straten AI — the layer that powers consulting copilots, agents, and AI advisory flows across the Stratenity stack.
Approximately 70% of the role focuses on model integration, orchestration, safety, and tooling, with 30% focused on collaborating with advisory
leaders to encode domain expertise in AI workflows.
Key Responsibilities
- Own the technical design for Straten AI agents, orchestration services, and prompt / tool pipelines.
- Integrate and manage multi-provider LLM architectures, including routing, evaluation, and monitoring.
- Implement safety, governance, and policy layers for AI usage in consulting workflows.
- Work with advisory teams to translate strategy playbooks into agentic workflows and co-pilot behaviors.
- Lead experimentation frameworks, A/B testing, and AI performance evaluation for consulting use cases.
- Ensure that Straten AI components can be reused across VelorStrategy, Collasia, VelorOne, and OneMind Strata.
Qualifications
- Strong background in software engineering with experience in ML/LLM-based systems.
- Hands-on experience with LLM APIs, vector DBs, orchestration frameworks, and evaluation pipelines.
- Understanding of AI safety, governance, and risk in enterprise or regulated environments.
- Ability to work closely with non-technical stakeholders to align AI capabilities with real advisory needs.
Head of Engineering — Collasia Community & Marketplace
United States or Middle East · Remote · Community graph, content, and marketplace rails
Role Overview
This role leads engineering for Collasia — Stratenity’s community and marketplace layer that connects consultants, advisors, and clients.
Approximately 70% of the role focuses on platform architecture, graph and marketplace design, and integrations, with 30% dedicated to working
with growth, community, and product to ensure the experience supports meaningful collaboration and monetization.
Key Responsibilities
- Design and implement Collasia’s core data model (profiles, communities, content, marketplace listings, transactions).
- Build features for discovery, curation, reputation, and trusted collaboration across the network.
- Integrate payments, billing, and monetization rails in alignment with Stratenity’s business model.
- Work with growth and community teams to support onboarding flows, engagement loops, and analytics.
- Ensure secure, compliant handling of user data and marketplace activity.
Qualifications
- Experience building community platforms, B2B marketplaces, or networked SaaS products.
- Strong data modeling skills for user graphs, activity logs, and marketplace transactions.
- Comfort with payments / billing integration and related security practices.
Head of Engineering — VelorOne Matching
United States or Middle East · Remote · Expert and project matching engine
Role Overview
This role leads engineering for VelorOne — the intelligent matching engine that connects experts, advisors, and consulting teams with
the right projects and opportunities. Approximately 70% of the role focuses on matching algorithms, data signals, and system design,
with 30% focused on partnering with product and advisory to define matching criteria and value signals.
Key Responsibilities
- Design and implement matching algorithms combining rules, embeddings, and behavioral signals.
- Define and manage the data model for profiles, skills, project requirements, and performance feedback.
- Collaborate with advisory and product leaders to capture “fit” and “value” dimensions in matching logic.
- Build experimentation and feedback systems to continuously improve match quality.
- Integrate VelorOne with Collasia, VelorStrategy Workspace, and OneMind Strata data sources.
Qualifications
- Experience with recommendation systems, matching engines, or marketplace ranking.
- Strong background in data engineering, feature design, and experimentation (A/B testing, offline evaluation).
- Comfort with embeddings, similarity search, and related ML tooling is a plus.
Head of Engineering — Stratenity LLM
United States or Middle East · Remote · LLM infra, retrieval, governance, and reasoning pipelines
Role Overview
This role leads engineering for Stratenity LLM — the core reasoning and retrieval layer that powers governed, domain-specific intelligence
across the stack. Approximately 70% of the role is focused on LLM infrastructure, retrieval pipelines, evaluation, and tooling, with 30%
focused on working with advisory and research teams to ensure outputs are accurate, explainable, and aligned with enterprise expectations.
Key Responsibilities
- Own the design and implementation of retrieval and RAG pipelines across Stratenity products.
- Define evaluation frameworks for LLM quality, reliability, and guardrail performance.
- Work with security and governance leads to embed policy enforcement and auditability.
- Optimize infra for latency, cost, and reliability in a multi-tenant, multi-product environment.
- Collaborate closely with OneMind Strata on embeddings, indexing strategy, and ontology-driven retrieval.
Qualifications
- Deep experience with LLM infrastructures, vector databases, and retrieval architectures.
- Background in large-scale backend or infra engineering (cloud-native, observability, scaling).
- Understanding of evaluation methods for reasoning, factuality, and alignment.
Head of Engineering — OneMind Strata (Research & Knowledge Graph)
United States or Middle East · Remote · Research graph, embeddings, data pipelines
Role Overview
This role leads engineering for OneMind Strata — Stratenity’s research layer and knowledge graph. Approximately 70% of the role is focused
on data modeling, graph and ontology design, ingestion pipelines, and embeddings, with 30% focused on working with advisory, research, and
LLM teams to ensure that knowledge assets are structured, searchable, and reusable across the OS.
Key Responsibilities
- Design and maintain the core knowledge graph and ontology for Stratenity’s research assets and frameworks.
- Build ingestion pipelines for documents, cases, frameworks, and external data sources.
- Implement embedding strategies and indexing approaches optimized for consulting and strategy content.
- Collaborate with Stratenity LLM and Straten AI teams on retrieval, context construction, and grounding.
- Work with advisory teams to encode domain structures (industries, functions, frameworks) into the graph.
Qualifications
- Experience with knowledge graphs, ontologies, or semantic data modeling.
- Background in data engineering, ETL pipelines, and structured/unstructured data processing.
- Familiarity with embeddings, similarity search, and search relevance tuning.
Common Profile for All Six Roles
- Degree in Computer Science, Software Engineering, Data/AI, or related field; MBA or equivalent business exposure is a plus.
- Experience building and leading high-caliber engineering teams in early-stage or growth-stage environments.
- Comfort working in remote, distributed teams across time zones (US and Middle East).
- Ability to move between high-level architecture and hands-on problem solving when needed.
- Interest in consulting, enterprise workflows, and AI-powered strategy tools.
How to Apply
Send your CV and a short introduction email specifying which role(s) you are applying for, your relevant engineering and leadership
experience, and your preferred base (US or Middle East) to:
advisory@velorstrategy.com