Job Description

We are hiring a Strategic GTM & Revenue Narrative Lead to work directly with our founder in shaping how complex B2B SaaS / AI products are positioned, communicated, and sold. This role sits at the intersection of product, strategy, and revenue, and focuses on translating complex technical concepts into clear, compelling narratives that drive pipeline and conversion. This is not a traditional marketing or content role. The focus is on commercial impact, deal support, and revenue outcomes.

Key Responsibilities

• Translate complex product and technical concepts into clear value propositions, positioning, and messaging
• Develop high-impact sales and GTM materials including:
  • sales decks
  • use cases
  • proposals
  • customer narratives
• Support deal shaping and conversion by aligning messaging to:
  • buyer pain points
  • objections
  • decision criteria
• Define and refine GTM strategy, ICP, and messaging hierarchy
• Work closely with founder on:
  • product positioning
  • narrative development
  • strategic messaging
• Ensure all content and assets contribute to pipeline generation and revenue conversion

Required Experience

We are looking for candidates with 5–8 years of experience in one or more of the following:

• Product Marketing (B2B SaaS / AI / Enterprise software)
• Presales / Solution Consulting / Sales Enablement
• Management Consulting / Strategy Consulting
• Product + GTM roles in high-growth startups

Strong Preference For Candidates Who Have

• Experience working on RFPs, proposals, or enterprise deal support
• Built sales enablement materials (decks, case studies, positioning)
• Worked closely with sales and product teams
• Experience in AI, data platforms, or enterprise SaaS
• Exposure to GTM strategy, positioning, and messaging frameworks

Key Skills

• Product positioning and messaging
• Go-to-market (GTM) strategy
• Sales enablement and deal support
• Enterprise storytelling and value articulation
• Ability to simplify complex technical concepts
• Strong business and commercial thinking

Who This Role Is Ideal For

• Candidates from consulting, presales, or product + GTM roles who want to move closer to revenue and product strategy
• Individuals who enjoy working on complex products and enterprise narratives
• Candidates who want to work directly with founders and influence how products are sold

Candidates with primarily SEO, social media, or campaign execution backgrounds are unlikely to be a fit for this role.

Compensation & Working Model

• 100% Remote
  Work from anywhere. We operate as a distributed team and optimize for output, not location.
• India Federal Holidays + Company Shutdown Weeks
  In addition to standard holidays, we operate two company-wide shutdown periods:
  • June 29 – July 4
  • December 23 – January 6
    These are built-in recovery periods to support sustained high performance.
• Full Benefits
  Comprehensive benefits package aligned with senior engineering roles.
• High Ownership, High Accountability
  This is not a task-based role. You will own core systems that directly impact platform scalability, reliability, and company performance.
• Direct Collaboration with Founder
  You will work closely with the CEO and senior strategists to translate expert reasoning into production systems.

Shape the Future of AI-Powered Innovation at Rapid Alpha

About Rapid Alpha

At Rapid Alpha, we don’t just analyze market trends—we architect competitive advantage. We combine AI-driven business intelligence, intellectual property expertise, and deep industry research to help companies make bold, strategic decisions that drive innovation. We foster a high-trust, high-autonomy culture. Our team is a mix of IP strategists, market intelligence specialists, and AI engineers, all working collaboratively to push the boundaries of AI-powered research and competitive intelligence. We believe in structured decision-making but encourage bold, creative problem-solving.

As a Business Intelligence & Intellectual Property Analyst, your work will not just inform strategy—it will shape billion-dollar opportunities, protect breakthrough technologies, and uncover hidden market advantages before competitors do. If you're energized by data-driven insights, strategic impact, and the power of AI, this role will put you at the forefront of innovation intelligence.

Why This Role Matters

Your research won’t just sit in a report—it will shape billion-dollar innovation strategies, protect breakthrough technologies, and help businesses bring transformative ideas to market faster. At Rapid Alpha, you’re not just analyzing trends—you’re actively influencing the future of innovation.

This is a high-impact role that offers both autonomy and influence. You’ll be at the center of business-critical research, helping C-suite executives, investors, and R&D leaders make strategic decisions that define their company’s innovation roadmap.

🔹 Your insights will directly influence business decisions, guiding our clients through complex innovation landscapes.
🔹 You will de-risk investments and accelerate market entry by identifying high-value opportunities and potential obstacles before they emerge.
🔹 You'll help develop AI-powered tools that turn unstructured data into actionable intelligence, enhancing business strategy at scale.
🔹 This is a role for high-autonomy, high-impact thinkers—those who thrive in solving big, strategic challenges.

What You’ll Be Doing

1. Business Intelligence & Competitive Analysis

• Conduct deep-dive research on emerging technologies, patents, market trends, and competitor strategies.
• Build AI-enhanced competitive intelligence reports to uncover investment risks, market gaps, and IP vulnerabilities.
• Use multi-source data analysis to track industry shifts and forecast disruptive innovation trends.

2. AI-Powered Insights & Strategic Decision-Making

• Work with AI-driven tools to analyze IP landscapes, regulatory trends, and commercialization pathways.
• Identify product-market fit indicators and help clients validate and scale their innovations.
• Leverage AI models and automation to speed up research, improve accuracy, and optimize decision-making.

3. Intellectual Property & Innovation Management

• Assess patentability, Freedom-to-Operate (FTO), and licensing opportunities for emerging technologies.
• Build IP-backed business cases that help companies leverage patents as a competitive moat.
• Provide strategic guidance on IP portfolio development and commercialization strategies.

4. High-Impact Reporting & Executive Collaboration

• Deliver CEO- and investor-ready insights, ensuring that research translates into clear, actionable business strategies.
• Work closely with executives, R&D leaders, and legal teams to align business, market, and IP strategies.
• Create visual dashboards and intelligence frameworks that make complex data digestible for decision-makers.

What Sets This Role Apart?

💡 Autonomy & Influence: You won’t be a cog in a machine—you’ll be leading high-stakes research that directly impacts client success.
💡 AI-Driven Approach: You’ll combine AI automation with human intelligence to deliver cutting-edge insights faster and better.
💡 Cross-Industry Exposure: Work across deep tech, IP strategy, and emerging industries, from quantum computing to digital therapeutics.
💡 Innovation at Scale: Your work will help early-stage innovators, market leaders, and investors navigate high-growth opportunities.

Who Should Apply?

✅ You thrive in a fast-paced, highly collaborative environment where your work spans multiple industries. You seamlessly shift between intellectual property analysis, market research, and competitive intelligence, adapting quickly to new challenges and uncovering strategic opportunities in real time.
✅ You have experience in IP analytics, market intelligence, or strategic business research.
✅ You’re excited about leveraging AI tools to scale research efficiency—but you don’t need to be an AI engineer.
✅ You have a strong analytical mindset, with experience in patent research, financial analysis, or business strategy.

Why Join Rapid Alpha?

AI-Driven Research & Intelligence Development

🚀 Industry Impact: Work on high-profile projects that influence multi-million-dollar decisions.
🤖 AI + Human Intelligence: Use cutting-edge AI tools to amplify research and automate workflows.
🌎 Remote-First, Global Reach: Collaborate with experts worldwide in a high-trust, high-autonomy culture.
💼 Career Growth: Build your expertise in business intelligence, IP strategy, and innovation management.

How to Apply

📩 Submit your LinkedIn profile and a brief statement on why you're excited about this role.
📊 If available, share an example of a research project where you identified a market or IP opportunity.

We’ll reach out within 72 hours if your skills align.

Job Description

We are building a high-leverage, AI-driven content and go-to-market system to drive software revenue.

We already generate:

• thought leadership
• structured content
• multi-format outputs (LinkedIn, long-form, landing pages, email)

What we need is a single, exceptional operator who can:

• refine ideas into sharp, compelling narratives
• ensure every asset is conversion-driven
• translate complex thinking into clear, buyable product messaging

This role sits at the intersection of:

• product marketing
• conversion copy
• AI-assisted content systems

What You Will Own

1. Narrative Precision

• Transform raw ideas and AI-generated content into:
  • clear arguments
  • structured positioning
  • consistent messaging across channels
• Act as the final editorial layer before anything goes live

2. Conversion Performance

• Own performance of:
  • landing pages
  • email sequences
  • core funnel messaging
• Continuously improve:
  • conversion rates
  • clarity of value proposition
  • call-to-action effectiveness

3. Product & Market Translation

• Translate complex technical and strategic concepts into:
  • clear product positioning
  • specific use cases
  • differentiated messaging
• Ensure messaging answers:
  • who this is for
  • what problem it solves
  • why it matters now
  • why we win

4. AI-Assisted Content Workflow

• Work within an AI-driven content system:
  • build structured briefs
  • guide outputs (not write everything from scratch)
  • refine and elevate generated content
• Ensure outputs are:
  • high-quality
  • consistent
  • aligned to strategy

5. Speed + Quality Layer

• Enable fast review cycles by:
  • delivering clean, polished drafts
  • minimizing iteration overhead
  • maintaining high standards across all outputs

What You Will NOT Do

• No social media management
• No SEO execution
• No campaign ops
• No content volume production

This is a high-leverage, thinking + refining role, not a content factory role.

What We’re Looking For

Must-Have

• 5–10 years experience in one or more:
  • B2B SaaS product marketing
  • conversion copywriting
  • growth / GTM roles
• Demonstrated ability to:
  • improve landing page or email conversion
  • write and edit high-quality, persuasive content
  • simplify complex ideas

Core Skills

• Exceptional writing and editing ability
• Strong product positioning instincts
• Deep understanding of conversion funnels
• Ability to work with AI-generated content effectively
• High speed with strong judgment

You Are Likely Someone Who:

• Edits aggressively and values clarity over cleverness
• Thinks in systems, not just individual assets
• Understands the difference between:
  • “content” vs “conversion”
• Can operate with minimal direction

Nice to Have

• Experience in:
  • technical products
  • consulting or strategy environments
  • early-stage startups
• Familiarity with:
  • AI content tools
  • structured content workflows

How We Work

• Founder-led idea generation
• AI-assisted content production
• You own:
  • refinement
  • clarity
  • conversion

This is a high-trust, high-autonomy role with direct impact on revenue.

Compensation

• 100% remote
• India federal holidays + company shutdown weeks
• Full benefits
• High ownership
• Direct collaboration with founder and AI Systems Architect

Compensation reflects expected impact on platform stability and revenue scalability.

About Rapid Alpha

Rapid Alpha helps mid-sized companies align Vision, Focus, and Results (VFR) into repeatable execution systems.

EVOS is a structured execution platform designed to encode expert reasoning into scalable AI workflows.

Our 2026 objective:

Scale results delivery without scaling fragility.

This role is foundational to that objective.

SaaS Infrastructure, Reliability & Multi-Tenant Scaling

Why This Role Exists

Rapid Alpha is executing a 2026 transition:

From: Analyst-heavy, manually scaled delivery
To: Platform-leveraged execution through EVOS

Our objective is clear:

Increase margin.
Increase client concurrency.
Increase reliability.
Without increasing operational fragility.

Today:

• AI workloads (embedding, indexing, classification) can strain infrastructure.
• Web and compute workloads must be cleanly isolated.
• Client concurrency must scale predictably.
• Infrastructure discipline must match product ambition.

You are not joining to “manage servers.”

You are joining to ensure the system holds under growth.

This role protects revenue and enables scale.

The System You Will Inherit

You step into a live, revenue-generating SaaS environment:

• Laravel-based web application
• Python services for AI workloads
• PostgreSQL database
• AWS infrastructure (EC2, RDS, S3)
• Multi-tenant client usage
• Growing concurrent document-processing demands

Current constraint:

AI workloads and application workloads must be cleanly separated and scaled.

The foundation exists.
Your responsibility is to professionalize and harden it.

What You Own (Non-Negotiable)

1️⃣ System Stability & Isolation

You will:

• Separate web tier from worker tier
• Implement and maintain queue-driven architecture
• Ensure embedding and classification jobs never degrade web performance
• Design horizontal scaling strategies
• Implement resource limits and concurrency controls

If the system degrades under load, you own the diagnosis.

2️⃣ Multi-Tenant Scalability

As we onboard more clients, you ensure:

• Client workloads do not interfere with one another
• Background processing scales predictably
• Capacity planning anticipates growth
• Infrastructure bottlenecks are identified before failure

Scaling revenue must not increase fragility.

3️⃣ Observability & Operational Discipline

You will implement:

• Monitoring and alerting
• Logging and traceability
• Performance metrics dashboards
• Incident documentation practices
• Environment parity (dev/staging/prod)

Engineering discipline is part of margin expansion.

4️⃣ Collaboration with AI Systems Architect

You will work closely with the Principal AI Systems Architect to ensure:

• AI workflows are async and queue-driven
• Concurrency is managed intentionally
• Rate limiting and retry logic are robust
• Infrastructure scales before demand forces it

You own the system layer.
They own the intelligence layer.

P&L Impact

This role directly impacts:

• Client retention (no instability under growth)
• Revenue capacity (more concurrent workloads)
• Operational cost control
• Founder risk exposure
• Long-term platform valuation

Stable infrastructure is a revenue multiplier.

Fragile infrastructure is a growth limiter.

What You Must Be Able To Explain

• How to isolate CPU-bound AI jobs from web application workloads.
• How to design a queue-based architecture for large document processing.
• What fails first under concurrency (DB, memory, CPU, IO) and how to mitigate it.
• How to scale AWS infrastructure predictably.
• How to introduce observability in a growing SaaS system.

If you cannot articulate failure modes, this role is not a fit.

Required Experience

• 6–10+ years backend/infrastructure engineering
• Strong AWS experience (EC2, RDS, autoscaling, networking)
• Experience implementing queue systems (SQS, Redis, RabbitMQ, etc.)
• Experience scaling multi-tenant SaaS platforms
• Strong understanding of distributed system constraints
• Familiarity working in mixed-stack environments (PHP + Python preferred)
• Experience improving production stability in live systems

This is equivalent to a Senior / Staff-level infrastructure engineer in a scaling SaaS company.

What You Do NOT Own

• Frontend feature development
• AI workflow logic
• Prompt design
• Client-specific custom builds
• Marketing or product experimentation

You own stability, scale, and operational integrity.

What Success Looks Like (First 90 Days)

By Day 30

• Architecture audit completed
• Clear isolation plan defined
• Immediate stability risks mitigated

By Day 60

• Worker isolation implemented
• Async job architecture stabilized
• Monitoring and alerts operational

By Day 90

• System stable under concurrent multi-client workloads
• Clear capacity planning roadmap
• Reduced infrastructure risk under growth

Compensation

• 100% remote
• India federal holidays + company shutdown weeks
• Full benefits
• High ownership
• Direct collaboration with founder and AI Systems Architect

Compensation reflects expected impact on platform stability and revenue scalability.

About Rapid Alpha

Rapid Alpha helps mid-sized companies align Vision, Focus, and Results (VFR) into repeatable execution systems.

EVOS is a structured execution platform designed to encode expert reasoning into scalable AI workflows.

Our 2026 objective:

Scale results delivery without scaling fragility.

This role is foundational to that objective.

How to Apply

Please send:

1. A brief description of one production system you helped scale, including what broke and how you fixed it.
2. A short architecture outline (max 500 words) explaining how you would isolate AI background jobs from a Laravel-based web application handling concurrent users.
3. Your CV and expected CTC.

Applications without this information will not be reviewed.

This is a senior ownership role. We value clarity of thinking over keyword density.

Intelligence Systems, Retrieval, and Workflow Architecture

Why This Role Exists

RRapid Alpha is transitioning from analyst-driven delivery to a platform-driven execution model.

Our goal is simple:

Multiply analyst output 10x while increasing quality, repeatability, and margin

We are building EVOS into a system that:

• Ingests thousands of documents
• Converts unstructured data into structured intelligence
• Generates scenarios and roadmaps
• Produces outputs that are traceable, auditable, and repeatable

This role exists to:

Design and implement the intelligence systems that make this possible

---

This role IS:

An architecture + implementation role responsible for building production AI systems that replace analyst work

---

What You Will Own

1. Intelligence System Design (Core)

You will design how EVOS produces intelligence.

This includes:

• classification systems
• retrieval systems
• reasoning workflows
• structured output generation

You will define:

• how evidence becomes structured data
• how systems generate scenarios and roadmaps
• how outputs remain auditable and reproducible

---

2. Document Ingestion & Transformation Pipelines

You will build systems that:

• process 5,000–50,000+ documents
• convert unstructured → structured data
• implement chunking strategies (semantic + hierarchical)
• perform multi-stage classification

---

3. Retrieval Systems (RAG Done Correctly)

You will design:

• hybrid retrieval systems (vector + metadata)
• ranking and filtering logic
• systems that minimize token usage and API calls

---

4. Agentic & Workflow Systems

You will design multi-step systems such as:

Evidence → STU → Scenario → Roadmap

This includes:

• orchestrating multi-stage workflows
• designing stateful processing
• ensuring outputs are structured and reusable

---

5. Human-in-the-Loop Systems

You will define:

• where analysts intervene
• how corrections are captured
• how feedback improves system performance

---

6. Evaluation & Accuracy Systems

You will define:

• precision / recall metrics
• ranking evaluation frameworks
• false positive / false negative analysis
• dataset-based testing

---

👉 This is critical:

Outputs must be correct, not just generated

---

7. Production-Grade System Implementation

You will build systems that:

• are asynchronous and queue-driven
• scale across clients
• integrate with platform infrastructure (AWS, Postgres, services)
• operate reliably under load

You will work closely with the Platform Architect to ensure:

• workload isolation
• system stability
• predictable performance

---

What You Must Be Able To Explain Clearly

You should be able to answer:

• How to process and classify 5,000+ documents across multiple dimensions
• How to design retrieval systems that minimize cost and maximize accuracy
• What fails first in LLM systems at scale
• How to evaluate system accuracy rigorously
• How to design workflows that produce auditable outputs
• Where human intervention is required in AI systems

---

Required Experience

• 6–10 years engineering experience
• 2+ years building production AI / NLP / search systems
• Strong Python
• Experience with:
  • vector databases (PGVector, Pinecone, Weaviate)
  • embeddings and retrieval systems
  • processing large document datasets
• Experience designing multi-step workflows or pipelines

• Built RAG systems in production
• Designed classification systems (not just used APIs)
• Worked with large document datasets
• Defined evaluation or ranking systems
• Built systems that combine automation with human review

---

Application Requirements

To be considered, you MUST include:

1. System Description

Describe one system you personally designed that:

• processes large document datasets
• performs classification, retrieval, or transformation
• produces structured outputs

2. Architecture Exercise

Explain:

How you would design a system to process 5,000+ documents and classify them across multiple dimensions, including ingestion, classification, retrieval, and evaluation.

Applications without this will not be reviewed.

---

What Success Looks Like

In the first 90 days:

• A working ingestion + classification pipeline
• Initial retrieval system operational
• Structured outputs generated from real data
• Evaluation framework defined

In 6 months:

• Analysts are significantly more productive
• Workflows are partially automated
• Outputs are consistent and auditable

In 12 months:

EVOS replaces large portions of analyst work with scalable systems

Application Requirements

To be considered, you MUST include:

1. A description of one production AI/LLM system you designed
2. A short explanation (max 500 words): How you would architect a system to process 5,000+ documents and classify them across multiple dimensions

Applications without this will not be reviewed.

Compensation & Working Model

• 100% Remote
  Work from anywhere. We operate as a distributed team and optimize for output, not location.
• India Federal Holidays + Company Shutdown Weeks
  In addition to standard holidays, we operate two company-wide shutdown periods:
  • June 29 – July 4
  • December 23 – January 6
    These are built-in recovery periods to support sustained high performance.
• Full Benefits
  Comprehensive benefits package aligned with senior engineering roles.
• High Ownership, High Accountability
  This is not a task-based role. You will own core systems that directly impact platform scalability, reliability, and company performance.
• Direct Collaboration with Founder
  You will work closely with the CEO and senior strategists to translate expert reasoning into production systems.

How to Apply

Send:

1. A brief description of one production AI/LLM system you personally designed.
2. A short explanation (max 500 words) of how you would architect a system to process 5,000+ research documents and classify them across multiple dimensions.
3. Your CV and expected CTC.

Applications without this information will not be considered.

We are seeking a versatile QA Engineer skilled in both manual and automated testing to ensure the quality and reliability of our Laravel(PHP), PostgreSQL Python-based web applications. The ideal candidate should understand web development, APIs, server environments, and be capable of designing and maintaining automated test suites. In addition to strong QA expertise, the role requires the ability to interpret business requirements, evaluate user needs, and work with technical documents. The candidate should also be able to perform analytical tasks, including reviewing patent documents, financial data, and supporting management activities. An ideal candidate will have experience in management consulting.

Job Description

Key Responsibilities

• Develop, maintain, and execute test plans, test cases, and test scripts for both manual and automated testing.
• Perform testing across the application stack:
  • Frontend (HTML, CSS, JavaScript, jQuery) – functional/UI testing.
  • Backend (Python services, APIs, automation scripts, PHP) – API and workflow validation.
  • Database (PostgreSQL) – data validation and query testing.
• Implement and maintain automation frameworks (e.g., Selenium, PyTest, unittest, or similar).
• Design and execute API test cases using Postman, REST Assured, or Python-based tools.
• Ensure seamless integration between Laravel (web layer) and Python-based automation workflows.
• Identify, report, and track bugs using bug tracking tools (e.g., JIRA, GitHub Issues).
• Work closely with developers to reproduce and resolve issues.
• Conduct comprehensive quality analysis to ensure all software applications meet both functional and non-functional requirements.
• Continuously improve test coverage, automation efficiency, and QA processes.
• Utilize IP-related documents, financial data, and internal management files from Rapid Alpha to support analysis-driven testing and ensure alignment with business, legal, and strategic requirements.

Required Skills & Qualifications

• Bachelor’s degree in Computer Science, Engineering, or related field.
• 2–5 years of experience in software QA (manual + automation).
• Hands-on experience with Laravel / PHP applications testing.
• Experience in testing REST APIs and backend services (preferably Python-based).
• Good knowledge of PostgreSQL for data validation.
• Proficiency with at least one automation framework (Selenium WebDriver, PyTest, or similar).
• Familiarity with CI/CD tools (Jenkins, GitHub Actions, GitLab CI).
• Strong debugging, analytical, and communication skills.
• Prior experience in an analyst role or management consulting is a strong advantage and will be considered a bonus.

Senior QA Engineer – Marketplace Quality, Compliance & AI-Ready Systems

Why This Role Is Different

Most QA roles focus on checking boxes. This role is about protecting trust at platform scale.

Rapid Alpha builds EVOS, a platform designed to make AI usable for high-stakes business decisions by grounding it in curated, traceable, and reusable data, prompts, and workflows. As EVOS evolves into a marketplace where third parties can publish prompts, datasets, and applications, quality failures are no longer just bugs — they are reputational, legal, and business risks.

We are looking for a dual-threat QA Engineer who can:

• Rigorously test software systems, and
• Act as a quality and compliance gatekeeper for a growing AI marketplace.

If you enjoy breaking systems, understanding why they broke, evaluating whether something should exist at all, and clearly explaining risk and impact — this role is built for you.

What You’ll Do

1. Full-Stack Quality Engineering

• Design, execute, and maintain manual and automated test suites across:
  • Frontend: HTML, CSS, JavaScript, jQuery (UI, usability, regression)
  • Backend: Python services, PHP/Laravel, APIs, automation workflows
  • Database: PostgreSQL validation, integrity checks, edge-case analysis
• Build and maintain automation using Selenium, PyTest, unittest, or similar frameworks.
• Execute API testing using Postman, REST Assured, or Python-based tools.
• Validate integration between Laravel web layers and Python automation services.

2. Marketplace Quality & Compliance Validation

• Review and validate third-party apps, prompts, datasets, and workflows submitted to the EVOS marketplace.
• Ensure marketplace submissions comply with:
  • Rapid Alpha quality standards
  • Data usage and licensing policies
  • Prompt and workflow safety guidelines
  • Traceability and repeatability requirements
• Identify policy violations, ambiguous edge cases, and quality risks before publication.
• Partner with product and legal stakeholders to continuously refine marketplace standards.

This is not automated scanning alone — it requires judgment, pattern recognition, and risk assessment.

3. AI-Aware & Systems-Level Testing

• Test and troubleshoot workflows where code, logic, prompts, or outputs are AI-assisted.
• Identify failure modes introduced by:
  • Prompt reuse and chaining
  • Dataset updates or substitutions
  • Workflow composition across multiple contributors
• Validate that outputs are repeatable, traceable, explainable, and defensible, not just “passing.”

4. Analytical & Consulting-Grade QA

• Use IP documents, financial data, and internal management artifacts as part of test scenarios.
• Validate that platform behavior aligns with business logic, legal constraints, and strategic intent.
• Think beyond “does it work?” to:
  • Is it defensible?
  • Is it explainable to a client?
  • Would a regulated or enterprise user trust this output?

5. Collaboration & Continuous Improvement

• Work closely with developers to reproduce issues and drive root-cause resolution.
• Partner with product, analytics, and platform teams to prevent defects before they ship.
• Continuously improve test coverage, automation efficiency, marketplace review processes, and QA standards.

What We’re Looking For

Core Qualifications

• Bachelor’s degree in Computer Science, Engineering, or related field.
• 3–6 years of experience in QA (manual + automation).
• Hands-on experience testing Laravel / PHP applications.
• Strong experience testing REST APIs and Python-based backend services.
• Solid PostgreSQL knowledge for data validation and query testing.
• Experience with CI/CD pipelines (GitHub Actions, Jenkins, GitLab CI).
• Strong debugging skills and clear written and verbal communication.

What Makes You Stand Out

• Experience in management consulting, analyst roles, or research-heavy environments.
• Comfort reviewing technical, financial, legal, or IP-related documents.
• Ability to explain technical and data risks in business terms.
• High judgment, curiosity, skepticism, and a bias toward evidence.

Why Join Rapid Alpha

• You’ll help build a platform that makes AI trustworthy for real business decisions.
• You’ll work at the intersection of software quality, data integrity, AI, and strategy.
• You’ll collaborate with professional developers and high-caliber analysts.
• You’ll help define what quality and compliance mean in an AI marketplace.
• This role has a clear path into platform-level leadership and authority.

How You Will Grow at Rapid Alpha

Rapid Alpha is building EVOS for the long term — and we’re building our people the same way.

As EVOS grows from a powerful internal platform into a multi-sided marketplace for datasets, prompts, workflows, and applications, the importance of quality, compliance, and trust compounds. That creates a rare opportunity: you can build your entire career here, growing alongside the platform itself.

This is not a dead-end QA role. It is a path to becoming a recognized expert in AI-ready systems, marketplace governance, trusted data platforms, and high-stakes software validation.

Early Growth: Becoming a Core Platform & Marketplace Expert

In your first phase, you will:

• Master EVOS end-to-end: frontend, backend, APIs, data pipelines, and workflows
• Learn how prompts, datasets, and apps move through the marketplace lifecycle
• Develop expertise in testing AI-assisted systems and reusable components
• Work closely with senior developers and analysts to understand how software, data, and business decisions intersect

You’ll quickly move beyond execution into systems thinking and risk awareness.

Mid-Career Growth: From Tester to Trusted Gatekeeper

As you grow, your role shifts from finding issues to preventing platform-level failures.

You may:

• Define quality and compliance standards for marketplace submissions
• Become a primary reviewer for high-risk prompts, datasets, or workflows
• Mentor junior QA engineers
• Influence how developers and contributors design for trust from day one
• Translate technical behavior into business, legal, and reputational impact

At this stage, teams rely on you to answer a critical question:

“Can we safely allow this into the ecosystem?”

Long-Term Growth: Leadership or Deep Expertise

As EVOS becomes widely adopted, two respected paths open:

Leadership Path

• Lead QA Engineer / Quality Architect
• Head of Platform Quality or AI Systems Validation
• Ownership of trust, compliance, and release confidence across the marketplace

Technical Authority Path

• Principal QA Engineer / AI & Marketplace Validation Specialist
• Deep focus on AI failure modes, policy enforcement, dataset integrity, and repeatability
• Influence platform standards without managing large teams

Both paths keep you close to complex problems, high-caliber colleagues, and real impact.

What Makes This Career Different

• You grow with a platform that compounds in value over time
• You help define trust and quality in an AI marketplace
• You work with professional developers and top-tier analysts
• Your work directly shapes how companies make high-stakes decisions

If you have long-term career goals, strong judgment, and enjoy working with smart, driven people on problems that matter — Rapid Alpha is built for you to grow here.

Why This Role Is Different

Most QA roles are about finding bugs.

This role is about protecting trust.

Rapid Alpha builds EVOS, a platform designed to support high-stakes business decisions by grounding AI in curated, traceable, and reusable datasets, prompts, and workflows. As EVOS evolves into a marketplace where third parties can publish apps, prompts, and datasets, quality failures stop being “defects” and become reputational, legal, and business risks.

We are hiring a hybrid QA engineer who combines:

• Deep technical testing capability, and
• Consulting-grade judgment about whether something should exist at all.

If you enjoy breaking systems, understanding why they broke, evaluating risk in ambiguous situations, and clearly explaining impact to technical and business stakeholders—this role is built for you.

Who Thrives in This Role

This role is ideal for someone who:

• Thinks like a consultant but tests like an engineer
• Is comfortable saying: “This technically works, but it shouldn’t ship”
• Enjoys being the trusted gatekeeper when decisions carry real risk
• Prefers accountability and judgment over checklists

This is not a pure development role—but it requires deep technical literacy across the full stack to evaluate platform behavior, risk, and quality.

What You’ll Do

1. Full-Stack Quality Engineering

You will design, execute, and maintain quality validation across the EVOS platform:

• Frontend: HTML, CSS, JavaScript, jQuery
  • UI, usability, regression, edge cases
• Backend: Python services, PHP/Laravel APIs, automation workflows
• Database: PostgreSQL data validation, integrity checks, and edge-case analysis

You will:

• Build and maintain automation using Selenium, PyTest, unittest, or similar frameworks
• Execute API testing using Postman, REST Assured, or Python-based tools
• Validate integrations between Laravel web layers and Python automation services

2. Marketplace Quality & Compliance Gatekeeping

As EVOS grows into a marketplace, quality becomes governance.

You will:

• Review and validate third-party apps, prompts, datasets, and workflows submitted to EVOS
• Ensure submissions meet:
  • Rapid Alpha quality standards
  • Data usage and licensing policies
  • Prompt and workflow safety guidelines
  • Traceability and repeatability requirements
• Identify ambiguous edge cases and latent risks before publication
• Partner with product, legal, and platform stakeholders to evolve marketplace standards

This work requires judgment, pattern recognition, and risk assessment—not just automated scanning.

3. AI-Aware & Systems-Level Testing

You will test workflows where behavior emerges from:

• Code
• Prompts
• Datasets
• Workflow composition across multiple contributors

You will:

• Identify AI-specific failure modes (prompt reuse, chaining, dataset substitution)
• Validate that outputs are:
  • Repeatable
  • Traceable
  • Explainable
  • Defensible

Passing tests is not enough—outputs must be trustworthy.

4. Analytical & Consulting-Grade QA

You will routinely test EVOS using:

• IP documents
• Financial data
• Internal management artifacts

You will evaluate not just “does it work?” but:

• Is it defensible in front of a client?
• Is it explainable to a regulated or enterprise user?
• Does platform behavior align with business logic and strategic intent?

5. Collaboration & Continuous Improvement

• Partner closely with developers to reproduce issues and drive root-cause resolution
• Work with product and analytics teams to prevent defects before release
• Continuously improve:
  • Test coverage
  • Automation efficiency
  • Marketplace review processes
  • Platform quality standards

What We’re Looking For

Core Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related technical field
• 4–8 years experience in QA, platform engineering, or systems validation
• Hands-on experience testing Laravel / PHP applications
• Strong experience testing Python-based services and REST APIs
• Solid PostgreSQL knowledge for data validation and query testing
• Experience working with CI/CD pipelines (GitHub Actions, Jenkins, GitLab CI)
• Strong debugging skills and clear written and verbal communication

What Makes You Stand Out

• Experience in consulting-style, analyst-driven, or decision-critical environments
• Comfort reviewing technical, financial, legal, or IP-related materials
• Ability to translate technical behavior into business, legal, and reputational risk
• High judgment, skepticism, curiosity, and a bias toward evidence

Formal consulting experience is a plus, but consulting-grade thinking is required.

Why Join Rapid Alpha

• Build a platform designed to make AI trustworthy for real business decisions
• Work at the intersection of software quality, data integrity, AI, and strategy
• Collaborate with professional developers and high-caliber analysts
• Help define what quality and trust mean in an AI marketplace

How You Will Grow at Rapid Alpha

Early Phase: Platform & Marketplace Mastery

• Master EVOS end-to-end (frontend, backend, APIs, workflows)
• Develop deep expertise in AI-assisted systems and reusable components
• Build credibility as a technical and judgment-based reviewer

Mid Phase: Trusted Gatekeeper

• Define quality and compliance standards
• Review high-risk marketplace submissions
• Influence how contributors design for trust from day one

Long-Term Paths

Leadership Path

• Lead QA Engineer / Platform Quality Architect
• Ownership of trust, compliance, and release confidence

Deep Expertise Path

• Principal QA Engineer / AI & Marketplace Validation Specialist
• Authority on AI failure modes, policy enforcement, and repeatability

What Makes This Career Different

• You grow with a platform whose value compounds over time
• You help define trust in an AI marketplace
• Your work directly influences high-stakes decisions
• You are respected for judgment, not just execution

If you enjoy complex systems, accountability, and meaningful impact—Rapid Alpha is built for you.