Technical Lead — Identity & Data Intelligence

tawk.to, inc.; Malaysia; On-site; MYR 180,000 - 260,000; Full time

Benefits offered by this job

Competitive salary

Direct collaboration with CTO

Impactful product with high visibility

Transparent culture

Job summary

tawk.to, inc. is seeking a Technical Lead to architect a zero-to-one identity resolution product. You will own the technical vision, design a real-time identity graph, and integrate multiple data providers to deliver unified visitor profiles across millions of properties.

You will collaborate with the CTO and cross-functional teams to wire identity signals from chat, scheduler, and form products into a unified resolution system while ensuring privacy and compliance at scale.

Qualifications

• 8+ years backend engineering experience.
• 2–3 years building data-intensive systems with identity resolution or enrichment pipelines.
• Practical knowledge of browser fingerprinting, identity graphs or cross-site tracking.
• Strong API integration and architectural skills.
• Familiarity with GDPR/CCPA and privacy considerations for B2B data.

Responsibilities

• Design and implement the identity resolution service within a microservices platform.
• Define the data model for identity nodes, visitor sessions, and signals.
• Integrate third-party enrichment APIs with circuit breakers and caching.
• Build real-time resolution pipelines with low latency and scale.
• Lead MVP delivery and coordinate with the CTO and other teams.
• Ensure privacy compliance and data retention policies.

Skills

Backend engineering

Identity resolution

Data pipelines

API integration

Architecture design

Privacy compliance

Tools

ClickHouse

BigQuery

Kafka

NoSQL

Job description

Role Overview

We are seeking a Technical Lead to lead the design and delivery of a new product vertical: visitor identity resolution and data enrichment, built on top of tawk.to's customer engagement platform. This person will own the technical vision and execution of a real-time identity graph that leverages billions of interactions across millions of tawk.to-powered websites to identify, resolve, and enrich anonymous website visitors — turning "unknown visitor from Denver" into "Sarah Chen, VP of RevOps at Acme Corp, viewing your pricing page for the third time this week."

This is a zero-to-one build. You will architect the identity graph, select and integrate third-party data providers, design the data model, and ship the MVP. You'll work directly with the CTO and collaborate with teams across the platform to wire identity signals from our Chat, Scheduler, and Form Builder products into a unified resolution system.

If you've built identity resolution systems, worked in AdTech or MarTech data infrastructure, or designed enrichment pipelines at scale — this is your role.

What You'll Build

• A cross-site identity graph that links browser fingerprints, cookies, IPs, and self-identified contact data (from chat, scheduler bookings, and form submissions) into unified person and company profiles across millions of properties.
• A real-time resolution engine that identifies visitors within milliseconds of page load using a cascading algorithm: cookie match → fingerprint match → IP-to-company lookup → third-party identity providers.
• A waterfall enrichment service that chains multiple external data providers (People Data Labs, Apollo, Hunter, Proxycurl, IPinfo, and others) to fill in job title, LinkedIn profile, phone number, company firmographics, technographics, and funding data — with circuit breakers, caching, and cost-optimised sequencing.
• A usage-metered billing layer supporting tiered paid plans (manual enrichment, real-time de-anonymisation, full intelligence suite with intent scoring, alerts, and CRM push).
• An action and delivery layer including real-time Slack/webhook alerts, CRM integrations (HubSpot, Salesforce, Pipedrive), intent scoring, and campaign auto-triggers.

Key Responsibilities

1. System Architecture & Delivery

• Design and implement the identity resolution service within our existing microservices platform, following clean architecture and domain-driven design principles.
• Own the data model: identity nodes (person/company profiles), visitor sessions (per-site visit activity), and raw signal ingestion. Choose and advocate for the right storage and query technologies for each workload.
• Design the fingerprinting and signal collection strategy for the client-side widget.

2. Data Provider Integration

• Evaluate, negotiate, and integrate third-party enrichment and identity resolution APIs (People Data Labs, Apollo, Hunter, Proxycurl, IPinfo, Demandbase, FingerprintJS, and others).
• Implement the waterfall orchestration pattern with provider-level circuit breakers, fallback sequencing, response caching (TTL-based), and cost tracking.
• Monitor provider accuracy, match rates, and cost-per-enrichment to continuously optimise the waterfall order.

3. Scale & Performance

• Build for real-time resolution — the system needs to return identity data fast enough to be useful while a visitor is still on the page.
• Design the signal ingestion pipeline to handle high-throughput event streams at scale.
• Implement intelligent caching and deduplication strategies to minimise external API costs while maximising data freshness.
• Evaluate and potentially introduce analytical data stores (ClickHouse, BigQuery, or similar) for high-volume queries: intent scoring, visitor activity aggregation, and graph analytics.

4. Privacy & Compliance

• Design the consent and opt-out framework for cross-site identity resolution (GDPR legitimate interest for B2B company-level data, consent mechanisms for person-level).
• Implement data retention policies, opt-out flows, and audit logging.
• Review third-party provider data licensing terms and ensure compliant use of enriched data across the network.

5. Technical Leadership

• Define the phased MVP build plan and lead execution across a small engineering team.
• Establish testing strategies for identity resolution accuracy (match rates, false positive rates, enrichment fill rates).
• Collaborate with frontend engineers on the monitoring dashboard and enrichment UI.
• Work with the platform team to expose identity and enrichment capabilities to internal services and AI-assisted workflows.

Required Qualifications

Experience: 8+ years of backend engineering, with at least 2-3 years building data-intensive systems involving identity resolution, enrichment pipelines, cross-site tracking, or similar data platform work.

Domain knowledge: Practical experience with at least some of: browser fingerprinting, reverse IP-to-company resolution, identity graphs, third-party data provider APIs (Clearbit, PDL, Apollo, ZoomInfo, FullContact, or similar), or AdTech/MarTech data infrastructure.

Data modelling: Strong instincts for designing data models that support both real-time lookups and analytical queries. Experience with graph-like data structures and high-cardinality indexing strategies, regardless of the specific database technology.

API integration: Demonstrated experience integrating, orchestrating, and managing multiple third-party APIs with rate limiting, circuit breakers, caching, and cost optimisation.

Architecture: Ability to design systems that balance real-time performance with cost efficiency. Experience with caching strategies, TTL-based invalidation, and waterfall/fallback patterns.

Privacy awareness: Understanding of GDPR, CCPA, and the compliance landscape around B2B data enrichment and visitor identification.

Preferred Qualifications

• Experience at a company in the visitor identification, sales intelligence, or data enrichment space (Clearbit, 6sense, Demandbase, ZoomInfo, RB2B, Warmly, Clay, FullContact, or similar).
• Experience with analytical/OLAP databases (ClickHouse, BigQuery, or similar) for high-volume aggregation workloads.
• Experience with browser-side signal collection (FingerprintJS, canvas fingerprinting, WebGL fingerprinting).
• Experience designing usage-based billing systems (credit metering, tiered pricing, overage tracking).
• Familiarity with TypeScript/Node.js, event-driven architectures (Kafka or similar), and NoSQL databases.
• Background in ETL/data pipeline engineering or data platform teams.

Why This Role Matters

tawk.to's chat widget is deployed on millions of websites, generating billions of visitor interactions. No other company in the visitor identification space has this kind of first-party data advantage — our competitors have to convince customers to install a new pixel; our widget is already there. You'll be building the system that transforms this latent data asset into a new product line and a major revenue driver.

What We Offer

• Competitive salary with performance-based incentives.
• Opportunity to architect and own a zero-to-one product with significant business impact.
• Direct collaboration with the CTO on product strategy and technical direction.
• A collaborative and dynamic work environment that values innovation and transparency