ProofofSkill

We’re reimagining how users interact with SaaS products and looking for a founding engineer to help build the first version from zero alongside a founder with experience building at HubSpot, Asana, and Datadog.

Role

We are hiring a Founding Engineer with strong frontend, product, and design instincts. You will work directly with the founder to shape the product, prototype quickly, make architecture decisions, think through user problems, and turn an early thesis into a working product.

The ideal person is a builder — someone who can move from an ambiguous idea to prototype, from prototype to usable product, and from usable product to scalable architecture. You should be excited by the opportunity to change how users interact with software and, eventually, the internet itself.

What You’ll Build

You will help build the first version of our core product, including:

• An SDK powered by frontier AI models and modern product experience protocols
• Backend services with rules, resolution logic and intent inference
• Early prototypes that help us test different wedges with customers
• Production-ready systems as the product direction becomes clearer

This role will likely span React, TypeScript, Next.js, backend APIs, databases, event tracking, and AI-assisted workflows.

Required Experience

• 2–5 years of software engineering experience, or equivalent demonstrated ability
• Strong frontend engineering experience with React and TypeScript
• Ability to design clean, scalable frontend component architecture
• Experience with backend APIs and databases
• Experience taking ambiguous product ideas and turning them into working software

Strong Plus

• Experience building 0-to-1 products
• Experience at an early-stage startup
• Experience building SaaS products

What Success Looks Like

In the first 30 days, you will:

• Understand our thesis, target customer, and product direction
• Help refine the first product wedge
• Build and iterate on early prototypes
• Set up core frontend and backend foundations
• Move quickly across product, design, and engineering decisions

In the first 60–90 days, you will:

• Ship the first usable product prototype
• Help build demo experiences that clearly communicate the product vision
• Create the first version of the adaptive frontend architecture
• Help test the product with early users, customers, or design partners
• Identify what should become production-grade versus what should remain experimental

Leadership Opportunity

This is a founding role with significant upside.

For the right person, strong performance can lead to a leadership position as the company grows. We are looking for someone who can become a long-term technical and product partner — someone who can help build the first version, shape the architecture, hire future engineers, and potentially lead major parts of the engineering organization.

This is an opportunity to join at the earliest stage and help define both the product and the company.

Why Join

• Build from zero with high ownership
• Work directly with the founder
• Help create a new category of software
• Own meaningful technical decisions from day one
• Opportunity to join the leadership team as the company scales

TL;DR: Seeking a Growth Catalyst who is part GTM engineer, part brand creative — to design and own the PLG motion for both candidates and companies at Proof-of-Skill. This role is pivotal for our zero-to-one journey as we establish our founding team.

Proof-of-Skill is a verified hiring network where every candidate carries a proof stack (identity, experience, skill, education) and every match is earned, not gamed. our AI hiring agent Yoshi handles candidate intake, assessment, and coordination. organizations shortlist candidates based on Proof-of-Skill credentials — not resumes.

Qualifications and Skills:

• You have done B2B SaaS sales before. Plus points if you've done HR tech or marketplace sales before
• You can design the PLG flywheel for both sides of the network — candidates and companies — and execute it from scratch
• You are truth + insight seeking and can build a sharp understanding of the HR tech and hiring market
• You can automate outbound, nurture, and onboarding workflows using Clay, Apollo, n8n — no engineers required
• You can create content that performs — posts, short-form video, brand campaigns, founder-voice — and lead brand strategy end-to-end

If you've previously taken a SaaS product from zero to first 100 paying customers, that's a huge plus

Responsibilities:

• Design and own the PLG loop — figure out how candidates and companies pull each other into the network, then build the system that scales it
• Get the next 500 companies onto Proof-of-Skill
• Build and run outbound + inbound sequences; own pipeline from first touch to closed
• Create the collateral that makes a cold company say yes — one-pagers, case studies, demo flows, explainers
• Lead brand strategy — own the voice, aesthetic, and positioning across all channels
• Discover the right GTM fit via continuous + rapid iteration; kill what doesn't work, double what does

Ideal Candidate Traits:

• Systems thinker — every manual thing you do twice becomes an automation
• Sharp creative with a point of view on brand; can write a post and brief a designer and knows the difference
• Exceptional communication, storytelling, and presentation skills
• Ability to navigate complex sales cycles and negotiate contracts
• High agency is not a trait for you, it's a baseline — you find a way or you find a different way
• Entrepreneurial mindset is a must; if it's only on your resume, we'll know

Machine Learning Engineer (For client company)

Location: Bengaluru, India (Hybrid/Onsite)

Experience: 3–4 years

The Role

We are looking for a Machine Learning Engineer to build and productionize models that power fall detection, vitals monitoring, and predictive health insights from radar sensor data.

You will work closely with hardware, data engineering, backend, and product teams to improve model accuracy, reduce false alarms, and deploy reliable ML systems into production.

This role is ideal for someone with strong classical machine learning fundamentals who is comfortable working with messy real-world sensor data and writing clean, production-grade code.

What You'll Do

• Build and optimize classical ML models such as XGBoost, ensemble models, anomaly detection, and time-series models for fall detection, vitals monitoring, and health risk scoring.
• Engineer features from raw, sparse, and noisy radar signals, point-cloud data, and time-series sensor streams.
• Contribute to computer vision-adjacent problems such as pose estimation, movement analysis, skeleton tracking, and activity recognition using radar data.
• Build training, evaluation, and inference pipelines using Databricks.
• Perform exploratory data analysis on resident, device, alert, and facility-level datasets to identify trends, edge cases, and opportunities for model improvement.
• Define and own model evaluation metrics for safety-critical systems, including:
• Precision
• Recall
• Sensitivity
• Specificity
• False alarm rate
• Missed event rate
• Detection latency
• Analyze production model performance across facilities, residents, devices, and time periods.
• Handle noisy real-world datasets, including:
• Missing values
• Label quality issues
• Device variability
• Sparse event data
• Facility-specific patterns
• Write clean, modular, well-tested Python code for feature engineering, model training, evaluation, and inference.
• Deploy, monitor, and continuously improve production ML models.
• Collaborate with hardware and data engineering teams to improve data quality, labeling, observability, and model reliability.

What We're Looking For

• 3–4 years of experience building and deploying machine learning systems in production.
• Strong Python programming skills with the ability to write maintainable, testable, production-grade code.
• Strong understanding of classical machine learning concepts, including:
• Feature engineering
• Model training
• Cross-validation
• Error analysis
• Model evaluation
• Hands-on experience with algorithms such as:
• XGBoost
• Random Forests
• Gradient Boosting
• Ensemble methods
• Anomaly Detection
• Time-series models
• Strong SQL skills with experience analyzing large datasets using SQL, PySpark, Pandas, or Databricks.
• Experience working with time-series, sensor, spatial, point-cloud, IoT, or computer vision-style datasets.
• Familiarity with modern data engineering workflows using Databricks, Apache Spark, Delta Lake, or similar platforms.
• Strong debugging and analytical skills with the ability to diagnose issues across data pipelines, models, and production systems.
• Comfortable working in a fast-moving startup environment with ambiguity.
• Strong ownership mindset with the ability to take ML models from experimentation through production deployment.

Good to Have

• Experience in HealthTech, IoT, radar sensing, wearables, ambient monitoring, or safety-critical systems.

Exposure to:

• Computer Vision
• Pose Estimation
• Skeleton Tracking
• Object Tracking
• Spatial Data Processing
• Experience with:
• MLflow
• Model Registry
• Feature Stores
• Experiment Tracking
• Model Monitoring
• Experience with:
• ONNX
• Model Quantization
• Edge Deployment
• Latency Optimization
• Resource-Constrained Inference
• Familiarity with real-time data pipelines using:
• Kafka
• Spark Structured Streaming
• Streaming inference architectures 

Platform Engineering Lead (For client company)

Location: Pune, India

Experience: 7+ years 

What Success Looks Like

• Engineering teams ship faster with confidence and built-in guardrails.
• Cloud cost, security, and reliability are predictable, measurable, and well-managed.
• CI/CD pipelines are trusted, standardized, and production-ready.
• Platform decisions reduce cognitive load instead of introducing unnecessary process. 

Scope & Expectations

This is a hands-on leadership role combining architecture and implementation.

You will:

• Build, not just review.
• Own the platform roadmap—not just infrastructure tickets.
• Act as a force multiplier for product engineering teams rather than becoming a bottleneck.
• Drive platform strategy while remaining deeply involved in execution.

Key Responsibilities

Platform & Cloud Architecture

• Own Zoop's platform and cloud architecture across GCP and AWS.
• Design reusable, opinionated platform patterns instead of one-off infrastructure.
• Build and evolve Zoop's Internal Developer Platform (IDP), including:
• Self-service environments
• Golden paths (paved roads)
• Standardized templates
• Built-in engineering guardrails
• Lead Kubernetes and cloud-native adoption at scale.
• Drive infrastructure automation using Terraform, Pulumi, or similar Infrastructure-as-Code (IaC) tools.

CI/CD, Reliability & Developer Experience

• Establish robust CI/CD practices with quality gates and production readiness.
• Improve deployment safety through automation and testing.
• Define and monitor:
• Golden Signals
• SLIs
• SLOs
• Incident response processes
• Reduce operational toil and improve developer productivity.
• Make observability a first-class capability using cost-efficient monitoring systems.
• Build an observability platform that multiple engineering teams can easily integrate into their applications.

Security, Privacy & Compliance

• Build security-by-default into infrastructure and deployment pipelines.
• Lead implementation and continuous compliance for:
• DPDP Act (India)
• ISO 27001:2022
• SOC 2 Type II
• Implement:
• Zero Trust architecture
• Least-privilege access
• Secure data isolation

FinOps & Cloud Optimization

• Make cloud costs transparent and accountable across engineering teams.
• Establish FinOps practices including:
• Budgets
• Cost alerts
• Optimization routines
• Drive build-vs-buy decisions using clear ROI analysis.

AI, Data & MLOps Foundations

• Build secure and scalable foundations for AI and MLOps workloads.
• Define guardrails for AI systems and sensitive data handling.

Leadership & Collaboration

• Partner closely with engineering teams to align infrastructure strategy with product goals.
• Mentor engineers and guide teams through technical change.
• Balance long-term platform initiatives with practical execution.

What We're Looking For

Experience

• 7+ years of experience building and operating production infrastructure.
• Experience scaling engineering platforms in high-growth or regulated companies.
• Strong hands-on expertise in:
• Kubernetes and the cloud-native ecosystem
• Service Mesh technologies
• Policy Engines
• GCP, AWS (Azure exposure is a plus)
• Terraform and Infrastructure as Code

Engineering & Operations

• Strong understanding of SDLC and modern CI/CD systems (Jenkins, GitOps, etc.).
• Experience with observability tools such as:
• Grafana
• Prometheus
• New Relic
• Comfortable reading and contributing to production systems written in:
• Go
• Python
• Node.js

Security & Compliance

• Practical experience implementing ISO 27001 and SOC 2 controls.
• Strong understanding of:
• Data protection
• Privacy
• Identity and access management
• Security best practices

Mindset

We're looking for someone who is:

• Action-oriented with sound engineering judgment.
• Analytical, cost-conscious, and reliability-focused.
• Collaborative, calm under pressure, and open to feedback.
• Comfortable challenging decisions and explaining trade-offs when necessary.

Nice to Have

• Experience in fintech, identity, or other regulated industries.
• Built Internal Developer Platforms (IDPs) or shared infrastructure tooling.
• Contributions to open-source projects.

Senior Talent Acquisition Specialist Full-Time · Mumbai · ₹10–15 LPA

TL;DR: We’re hiring a Senior TA Specialist to own end-to-end recruiting for Proof of Skill — and help us prove that the best way to hire is through proof, not promises.

About Proof of Skill:

AI has broken hiring. Resumes are fabricated. Assignments are AI-generated. Interviews are gamed. We’re building the trust layer of hiring — a blockchain-based protocol where every candidate carries a fully verified profile: Proof of ID, Proof of Experience, Proof of Skill, and Proof of Education.

We use AI matchmaking to connect this verified talent with companies — helping them close roles in 4 interviews on average. Launched Nov ’24. 12K+ candidates. 150+ org partners including Sprinto, Yes Bank, IDfy, Moshi Moshi & Pega. Growing fast.

What you’ll do:

• Own full-cycle recruiting across tech, product, and business roles — from JD to offer
• Source aggressively across LinkedIn, job boards, referrals, communities, and your own network
• Manage and leverage relationships with recruiting agencies pan-India to scale pipeline when needed
• Partner closely with hiring managers to deeply understand role requirements and calibrate fast
• Build and maintain a warm bench of high-quality passive candidates
• Drive a fast, structured interview process — screening, coordinating, and closing with urgency
• Track funnel metrics and continuously optimize time-to-hire and quality-of-hire

Why you are:

• 3+ years of recruiting experience — ideally a mix of agency and in-house
• Proven track record closing tech and startup roles (engineering, product, growth)
• Strong agency background — you know how to work the market, not just post and pray
• Deep, active network of recruiting agencies across India
• Excellent at candidate experience — responsive, direct, and respectful of people’s time
• High-agency, self-driven — you don’t wait for a process, you build one
• Based in Mumbai

Major plus if you’ve:

• Recruited for early-stage startups (Series A and below)
• Placed candidates internationally or worked with global hiring mandates
• Experience hiring for blockchain, Web3, or AI-native companies
• Built or managed a small recruiting team

Why join us:

You’ll be one of the first dedicated hiring hires at a company that is — quite literally — reinventing how talent is found and trusted. You won’t just fill roles. You’ll help shape what great hiring looks like from the inside, using a platform built to make it faster and fairer.

**TL;DR:** Seeking an experienced Front-end Developer proficient in React and Next.js to build user-friendly interfaces for Proof of Skill, a blockchain-based protocol for skill verification and credentialing.

Proof of Skill protocol is a decentralized system where industry experts (Validators) evaluate candidates' skills and issue verifiable Skill Credentials. Organizations can then shortlist candidates based on these credentials.

**Qualifications and Skills:**

5+ years of experience in front-end development, with a strong focus on React and Next.js

Proficiency in JavaScript, HTML5, CSS3, and related front-end technologies

Solid understanding of React ecosystem, including Redux, React Router, and React Hooks

Experience with Next.js and its server-side rendering (SSR) and static site generation (SSG) capabilities

Familiarity with modern front-end build tools and workflows (e.g., Webpack, Babel, ESLint)

Knowledge of responsive design and cross-browser compatibility

Experience with RESTful APIs and integration with back-end services

Familiarity with web accessibility standards (WCAG) and best practices

Understanding of blockchain technology and decentralized applications (dApps) is a plus

**Responsibilities:**

Design and develop user-friendly interfaces for the Proof of Skill platform using React and Next.js

Implement reusable and modular front-end components following best practices

Integrate with blockchain-based back-end services and decentralized data sources

Optimize performance, scalability, and security of the front-end applications

Collaborate with the design team to ensure pixel-perfect implementation of UI/UX designs

Write clean, maintainable, and well-documented code

Participate in code reviews and ensure adherence to coding standards

Stay up-to-date with the latest front-end technologies, frameworks, and industry trends

**Ideal Candidate Traits:**

Strong problem-solving and analytical skills

Excellent communication and collaboration abilities

Attention to detail and commitment to writing clean, efficient code

Passion for creating intuitive and engaging user experiences

Entrepreneurial mindset and willingness to take ownership

Curiosity and eagerness to learn and grow in a dynamic environment

Experience building for crypto is a huge plus