About the Role

We are looking for a hands-on HR Manager to manage core HR operations for our India team. This role is ideal for someone who has strong experience in payroll coordination, onboarding, offboarding, employee lifecycle management, HR compliance, documentation, and day-to-day HR operations.

This is not a traditional HR Business Partner-heavy role. The immediate need is for someone who can bring structure, accuracy, speed, and ownership to HR operations in India.

You will work closely with the global People team, leadership, Finance, Recruiting, and employees in India to ensure smooth employee experience and compliant HR processes.

What You’ll Own

HR Operations & Employee Lifecycle

• Own end-to-end employee lifecycle operations for India employees.
• Manage onboarding, joining formalities, documentation, background checks, employee record creation, and first-day readiness.
• Own offboarding processes including exit documentation, asset coordination, clearance, final settlement inputs, and exit process tracking.
• Maintain accurate employee data, HR records, letters, contracts, and personnel files.
• Ensure HR processes are well-documented, repeatable, and scalable as the India team grows.

Payroll & Benefits Coordination

• Coordinate monthly payroll inputs with Finance and external payroll partners.
• Track attendance, leaves, salary changes, reimbursements, deductions, bonuses, and other payroll inputs.
• Ensure payroll data is accurate, timely, and compliant.
• Support benefits administration, insurance coordination, employee queries, and vendor follow-ups.
• Partner with Finance to support audits, payroll reports, and statutory documentation.

Compliance & HR Governance

• Ensure compliance with India employment laws, statutory requirements, labor law documentation, and internal HR policies.
• Support PF, ESIC, gratuity, professional tax, Shops & Establishment, and other India HR compliance processes where applicable.
• Maintain policy documents, HR templates, employee letters, and compliance records.
• Work with external consultants/vendors where needed to ensure timely compliance.

Employee Support & HR Process Management

• Act as the first point of contact for employee HR queries in India.
• Support leave management, attendance, employee documentation, policy clarification, and HR process communication.
• Help build a consistent employee experience as the company moves toward more in-office hiring in Bengaluru.
• Support basic employee engagement and workplace coordination, while keeping the primary focus on HR operations.

Office & India People Operations Support

• Support India office-readiness as future hiring moves toward a 5-day in-office model.
• Coordinate with Admin, IT, Finance, and leadership for employee joining, seating, assets, access, and office-related HR processes.
• Help create clean operating rhythms for HR operations in a fast-paced startup environment.

What We’re Looking For

• 5+ years of experience in HR Operations, People Operations, or HR Generalist roles with strong operations ownership.
• Strong hands-on experience with payroll coordination, onboarding, off-boarding, employee lifecycle, HR documentation, and compliance.
• Good understanding of India labor laws, statutory compliance, payroll inputs, and HR records management.
• Experience working in a startup, SaaS, technology, fintech, AI, or fast-growth company is preferred.
• Comfortable working in a hands-on, high-ownership environment with limited process overhead.
• Strong attention to detail and ability to manage confidential employee information responsibly.
• Good communication skills and ability to work with employees, managers, Finance, Recruiting, and global People teams.
• Ability to bring structure, follow-through, and process discipline without creating unnecessary bureaucracy.
• Comfortable working from the Bengaluru office 5 days a week.

Nice to Have

• Experience supporting HR operations for technology or product engineering teams.
• Experience working with global teams, especially US-based People or Finance teams.
• Experience with HRMS, ATS, payroll systems, employee databases, or HR automation tools.
• Exposure to employee engagement, performance cycles, or HR policy implementation.
• Experience helping a company transition from remote-first to office-based hiring.

Why Join interface.ai

• Work at a high-growth AI company with strong product-market fit.
• Be part of a profitable, cash-flow positive Series A startup entering its next growth phase.
• Support a business that is transforming banking experiences for over 100 financial institutions.
• Help build and strengthen the India People function at a critical stage of company growth.
• Work closely with global leadership and People teams.
• Own meaningful HR operations for a team that remains central to the company’s foundation and future growth.

About Our Culture

• We are a fast-moving, high-ownership company.
• We value people who are practical, resourceful, detail-oriented, and comfortable working through ambiguity.
• We are building with speed, rigor, and a strong bias for execution.
• For this role, we are looking for someone who can bring reliable HR operations, strong process ownership, and employee-first execution while keeping pace with a startup environment.

Lead Security & Compliance

Location: Bengaluru, India
Work Model: 5 days work from office
Company: interface.ai
Function: Engineering / Security & Compliance
Reports to: VP Engineering / Security & Privacy Leadership

About the Role

We are looking for a Lead Security & Compliance professional to help strengthen interface.ai’s security, compliance, privacy, and risk programs in India.

This is a hands-on, execution-focused role for someone who can work closely with Engineering, Cloud Infrastructure, Product, Legal, Sales, and Customer teams to ensure our AI products, cloud systems, and internal controls meet the security and compliance expectations of banks, credit unions, and regulated financial institutions.

You will play a key role in driving security governance, compliance readiness, customer due diligence, audit support, cloud security controls, risk assessments, and security-by-design practices across the organization.

This role is ideal for someone who has strong security and compliance fundamentals, understands SaaS/cloud environments, is comfortable with financial services or regulated customers, and can operate in a fast-paced startup environment with high ownership.

What You Will Do

As Lead Security & Compliance, you will be responsible for:

• Support and drive company-wide security, privacy, and compliance initiatives across products, engineering, cloud infrastructure, and internal systems.
• Help implement and maintain security policies, procedures, standards, and control frameworks.
• Support compliance programs related to SOC 2, ISO 27001, GLBA, FFIEC, and other applicable customer or regulatory requirements.
• Partner with Engineering and Cloud Infrastructure teams to embed secure architecture, DevSecOps, access controls, encryption, logging, monitoring, and vulnerability management practices.
• Conduct risk assessments across cloud infrastructure, applications, data flows, vendors, and internal processes.
• Support cybersecurity incident response planning, documentation, investigation, and post-incident improvements.
• Work with Sales, Legal, Product, Compliance, and Customer Success teams to respond to customer security questionnaires, audits, RFPs, due diligence requests, and banking compliance reviews.
• Maintain and improve internal security documentation, audit evidence, control mappings, and compliance artifacts.
• Help drive privacy-by-design and security-by-design principles across product and AI initiatives.
• Track remediation plans for audit findings, security gaps, vulnerabilities, and compliance risks.
• Collaborate with global stakeholders across India and the US to ensure security and compliance practices scale with the company’s growth.
• Promote a proactive security culture across engineering and business teams.

Requirements

• 7+ years of experience in information security, cybersecurity, compliance, risk management, cloud security, or security engineering.
• Experience working in SaaS, fintech, banking, financial services, AI/technology, or other regulated environments.
• Strong understanding of security and compliance frameworks such as SOC 2, ISO 27001, GLBA, FFIEC, NIST, CIS, or similar frameworks.
• Hands-on experience with cloud security controls, preferably in AWS environments.
• Good understanding of access management, data security, encryption, vulnerability management, logging, monitoring, endpoint security, and incident response.
• Experience supporting audits, customer security reviews, vendor risk assessments, and compliance evidence collection.
• Ability to work with Engineering, Infrastructure, Product, Sales, Legal, and Customer-facing teams.
• Strong documentation, communication, problem-solving, and stakeholder management skills.
• Comfortable operating in a fast-paced, high-growth startup environment with shifting priorities.
• High ownership mindset, attention to detail, and ability to drive closure without heavy process.
• Bachelor’s degree in Information Security, Computer Science, Engineering, or a related field.

Preferred Qualifications

• Experience working with banking, credit union, fintech, lending, mortgage, payments, or financial services customers.
• Experience in AI, SaaS, cloud-native, or enterprise software companies.
• Exposure to privacy, data protection, and customer data handling requirements.
• Familiarity with DevSecOps, secure SDLC, threat modeling, application security, and cloud infrastructure reviews.
• Experience with tools related to GRC, vulnerability management, SIEM, cloud security posture management, IAM, and audit management.
• Certifications such as CISSP, CISM, CCSP, ISO 27001 Lead Implementer, ISO 27001 Lead Auditor, CISA, or Security+.
• Experience working with globally distributed teams, especially India-US engineering and leadership teams.

What We Are Looking For

We are looking for someone who is:

• Hands-on and execution-oriented, not just policy-focused.
• Comfortable working directly with engineering and infrastructure teams.
• Strong in security and compliance fundamentals.
• Able to balance customer trust, regulatory expectations, and startup speed.
• Detail-oriented in audits, evidence, controls, and documentation.
• Clear and confident in communication with both technical and non-technical stakeholders.
• Resourceful, AI-fluent, and able to use modern tools to improve speed and productivity.
• Excited to build security and compliance foundations for a high-growth AI company serving regulated financial institutions.

Why Join interface.ai

• Join a Series A, profitable, high-growth AI company with strong product-market fit.
• Work on security and compliance for AI products used by banks and credit unions.
• Help build trust, privacy, and security foundations for a platform serving millions of banking customers.
• Be part of a fast-paced startup culture with high ownership, autonomy, and impact.
• Work closely with engineering, product, infrastructure, legal, sales, and leadership teams.
• Build in a mission-driven company that is helping democratize financial wellness through AI.

Work Environment

This is a Bengaluru-based, 5-day work-from-office role. We are looking for someone who thrives in an in-person, high-energy startup environment and can collaborate closely with engineering, product, and leadership teams.

About the Role

We are looking for a hands-on Engineering Manager to lead a Bengaluru-based product engineering team responsible for delivering AI-powered banking products across voice, chat, and digital channels.

This role is part of our India offshore development team and requires close partnership with US-based product, engineering, AI, customer, and leadership teams. You will be responsible for driving execution, technical quality, delivery predictability, and engineering ownership from the Bengaluru team.

This is not a pure people-management role. We need an engineering leader who can stay close to architecture, code quality, debugging, production reliability, and team execution.

What You’ll Own

• Lead and grow a high-performing Bengaluru engineering team.
• Drive execution across product features, backend services, integrations, platform improvements, and reliability initiatives.
• Partner with US stakeholders to clarify priorities, manage dependencies, and deliver with predictability.
• Stay involved in architecture reviews, code reviews, technical tradeoffs, debugging, and production issue resolution.
• Ensure systems are scalable, secure, observable, maintainable, and production-ready.
• Build a culture of ownership, engineering discipline, accountability, and continuous improvement.
• Mentor engineers, senior engineers, and tech leads to improve technical depth and execution maturity.

What You’ll Do

Lead Product Engineering Execution

• Convert product and customer priorities into clear engineering plans.
• Manage sprint execution, estimation, release readiness, risk tracking, and delivery communication.
• Ensure the offshore team operates with clarity, urgency, and accountability.
• Identify blockers early and drive resolution across teams.

Stay Hands-On Technically

• Review architecture, APIs, service design, data flows, and integration patterns.
• Guide engineers on scalable design, clean implementation, testing, and maintainability.
• Help debug complex backend, performance, reliability, and production issues.
• Raise the quality bar through strong technical judgment and practical engineering standards.

Drive AI-First Engineering

• Support development of AI-powered capabilities across voice, chat, automation, and employee-assist workflows.
• Work with AI, data, product, and platform teams to integrate AI capabilities into production systems.
• Encourage responsible use of LLM tools, automation, and AI-assisted development.
• Help ensure AI-driven product experiences are reliable, testable, secure, and customer-ready.

Improve Quality and Reliability

• Strengthen practices across code reviews, testing, CI/CD, observability, monitoring, and incident learning.
• Track quality metrics such as latency, reliability, defects, user impact, and operational stability.
• Balance fast delivery with long-term maintainability, reliability, and security.

What We’re Looking For

Required Qualifications

• 8+ years of software engineering experience, with strong backend, platform, or product engineering depth.
• 2+ years of engineering management, team leadership, or technical leadership experience.
• Strong hands-on background in backend systems, APIs, distributed systems, scalable architectures, and production-grade software.
• Ability to deep-dive into architecture, code, data flows, integrations, debugging, and production issues.
• Experience leading engineers while remaining technically involved.
• Strong understanding of system design, microservices, cloud systems, CI/CD, testing, observability, and reliability.
• Experience delivering customer-facing or business-critical product systems in production.
• Strong execution discipline across planning, estimation, release management, quality, and risk tracking.
• Ability to work effectively with US-based product, engineering, and leadership teams in a distributed/offshore model.
• Strong written and verbal communication skills.
• High ownership mindset with the ability to operate in ambiguity.
• Willingness to work from the Bengaluru office 5 days a week.

Strongly Preferred Qualifications

• Experience building or managing teams working on AI-powered, ML-powered, LLM-powered, conversational AI, or automation products.
• Experience with voice, telephony, real-time chat, messaging, streaming, or low-latency systems.
• Experience in fintech, banking, payments, enterprise SaaS, customer experience platforms, or regulated environments.
• Exposure to agentic AI systems, LLM workflows, RAG, embeddings, evaluation pipelines, or AI-assisted engineering tools.
• Experience with cloud-native systems using AWS, GCP, or Azure.
• Experience with observability, monitoring, incident response, performance tuning, and reliability engineering.
• Experience working with globally distributed teams across India and US time zones.
• Prior experience in a high-growth startup or high-accountability product engineering environment.

Why Join Interface.ai

• Work on AI-native products transforming banking experiences.
• Build systems across voice, chat, automation, personalization, and financial workflows.
• Join a high-growth company with strong product-market fit.
• Work closely with global product, engineering, AI, and customer teams.
• Lead a Bengaluru engineering team where strong ownership, quality, and execution have visible impact.

About the Role

We are seeking a highly skilled and passionate Platform Engineer to help redefine how infrastructure and operations are delivered to development teams. This is a role for someone moving beyond traditional DevOps into a space focused on developer enablement, tooling, and abstractions that make engineering teams more productive and self-sufficient.

As a Platform Engineer, you’ll be instrumental in designing and building internal platforms, frameworks, and interfaces (e.g., Web UIs, CLI tools, ChatOps interfaces) that abstract the complexity of infrastructure, enabling developers to focus on building features and shipping code confidently.

Key Responsibilities

• Tooling & Automation: Design, build, and maintain self-service tooling for developers—enabling them to provision infrastructure, deploy applications, and monitor systems with minimal friction.
• Abstraction & Interface Building: Create easy-to-use abstractions and interfaces (like Web UIs, chatbots, and CLIs) that simplify operational tasks and workflows.
• Infrastructure as Code (IaC): Architect and maintain scalable, repeatable infrastructure using Terraform, Pulumi, or similar tools.
• Cloud Engineering: Work deeply within cloud platforms (AWS/GCP/Azure), leveraging native services to optimize performance, cost, and scalability.
• CI/CD Systems: Build and optimize robust continuous integration and deployment pipelines that reduce lead time and improve reliability.
• API Gateways & Service Meshes: Manage API gateways, ingress controllers, and service mesh implementations for resilient, observable services.
• Observability: Establish centralized monitoring, alerting, metrics, APM, and logging solutions to ensure system reliability and developer insight.
• Cost Optimization: Implement cost management tooling and visibility features to ensure sustainable platform usage.
• Environment Management: Develop systems for ephemeral and on-demand environments to support testing, experimentation, and feature validation.
• Experimentation Frameworks: Support teams with infrastructure and tooling for A/B testing and canary deployments.
• Security & Governance: Ensure platform tools comply with organizational security policies and audit requirements.
• Developer Collaboration: Serve as a partner to engineering teams, gathering feedback, running internal demos, and iterating quickly to improve the developer experience.
  
  

What We’re Looking For

• Strong coding background in languages such as Go, Python, TypeScript, or similar.
• Hands-on experience with IaC tools (Terraform, Pulumi, AWS CDK, etc.).
• Deep knowledge of cloud environments (AWS, GCP, or Azure).
• Experience with container orchestration platforms (Kubernetes, ECS, Nomad).
• Proficient in CI/CD pipelines (Jenkins, ArgoCD, GitHub Actions, etc.).
• Familiarity with API gateways, service mesh, and rate limiting
• Solid understanding of monitoring/alerting (Prometheus, Grafana), APM tools (Datadog, New Relic), and centralized logging (ELK, Loki, or similar).
• Experience managing costs in cloud environments.
• Proven ability to build interfaces and platforms (dashboards, chatbots, CLI tools).
• Strong communication skills and ability to collaborate cross-functionally.

Bonus Points

• Experience with platform product thinking—prioritizing developer empathy and user feedback.
• Previous work in platform engineering or internal developer portals.

Exposure to feature flag frameworks and progressive delivery tools.

About the Role

We’re looking for a Staff Engineer – Core Platform to architect, scale, and evolve the distributed systems foundation that powers Interface.ai’s next-generation AI experiences.

This is a hands-on, high-impact engineering role — you will design and build core platform components that enable real-time AI interactions, secure orchestration, and low-latency execution across millions of concurrent user sessions.

The ideal candidate is a systems thinker who thrives on solving large-scale engineering challenges in distributed, event-driven environments — someone who obsesses over performance, reliability, and elegant architecture, and who elevates the technical bar for the entire organization.

What You’ll Own

As a Staff Engineer, you will be the technical backbone for the Core Platform team — defining architecture, mentoring teams, and ensuring engineering excellence across all systems.
You’ll focus on:

• Designing and scaling low-latency, fault-tolerant distributed systems serving real-time workloads.
  
  
• Architecting microservices and event-driven systems that are secure, composable, and resilient under scale.
  
  
• Integrating Vector Databases and Embedding Stores to support intelligent retrieval, RAG (Retrieval-Augmented Generation), and adaptive AI experiences.
  
  
• Partnering with AI and Product teams to embed LLMs and inference services into the Core Platform, ensuring performance and observability.
  
  
• Defining technical standards, best practices, and evolutionary architecture patterns across teams.
  
  
• Driving continuous improvement in code quality, observability, and deployment reliability.
  
  
• Acting as a technical mentor and multiplier — raising the bar for system design, code reviews, and debugging excellence.
  
  

What You’ll Do

• Architect and Build Distributed Systems: Design microservice-based architectures that enable scalability, low latency, and fault isolation for AI-driven features.
  
  
• Optimize System Performance: Own performance at the platform level — from network I/O and API design to database indexing and caching strategies.
  
  
• Enable AI Integrations: Work closely with LLM engineers to design APIs and data pipelines supporting RAG, embeddings, and model-inference use cases.
  
  
• Design Resilient Data Infrastructure: Implement streaming and async systems (Kafka, Pulsar, or similar) to handle high-volume event traffic.
  
  
• Drive Engineering Quality: Establish patterns for clean code, contracts, testing, and documentation. Lead architecture and code reviews across pods.
  
  
• Mentor and Coach: Elevate senior engineers through structured mentorship, design walkthroughs, and technical guidance.
  
  
• Champion Evolutionary Architecture: Build for change — advocate for modular, observable, and testable systems that can evolve with business needs.
  
  
• Improve Platform Resilience: Implement retry, backoff, rate-limiting, and circuit-breaker patterns to ensure uptime and reliability at scale.
  
  
• Collaborate Cross-Functionally: Work with AI, data, DevOps, and product teams to define shared contracts, SLAs, and infrastructure standards.
  
  

What We’re Looking For

Required Qualifications

• Experience: 8+ years of experience in backend or platform engineering, including 2+ years in high-scale B2C or distributed systems environments.
  
  
• Distributed Systems Mastery: Deep understanding of scalability, consistency, concurrency control, and fault tolerance.
  
  
• Low-Latency Systems Expertise: Proven track record designing systems with strict SLA and sub-second response times.
  
  
• Microservices Architecture: Strong experience building, deploying, and maintaining service-oriented architectures with APIs, event streams, and async messaging.
  
  
• Vector DBs & Embeddings: Hands-on experience with Weaviate, Pinecone, Qdrant, FAISS, or similar; strong grasp of RAG patterns and semantic retrieval.
  
  
• Programming Proficiency: Expertise in Go, Rust, Java, or Python, and familiarity with modern frameworks (gRPC, GraphQL, REST).
  
  
• Data Layer Knowledge: Solid understanding of SQL/NoSQL databases (PostgreSQL, Cassandra, DynamoDB) and caching systems (Redis, Memcached).
  
  
• Resilience & Observability: Experience designing with telemetry, distributed tracing, chaos testing, and monitoring (Prometheus, OpenTelemetry).
  
  
• Engineering Quality Mindset: Passion for clean code, automated testing, CI/CD, and maintainability.
  
  
• Bar-Raising Leadership: Experience mentoring teams, enforcing code quality standards, and elevating design practices.
  
  

Preferred Qualifications

• Experience building or scaling real-time personalization or recommendation systems.
  
  
• Prior exposure to LLM serving, RAG pipelines, and LLMOps frameworks.
  
  
• Familiarity with Kafka, Flink, or Beam for data streaming.
  
  
• Contributions to open-source projects in distributed systems or AI tooling.
  
  
• Deep understanding of cloud-native architectures (Kubernetes, Istio, Terraform).
  
  

What Makes This Role Special

• You’ll define and scale the core technical foundation for AI systems serving millions of users.
  
  
• You’ll collaborate with world-class engineers across AI, platform, and product to deliver real-time, intelligent experiences.
  
  
• You’ll raise the engineering bar — shaping how code is written, reviewed, and deployed across teams.
  
  
• You’ll lead by example: mentoring senior engineers while remaining hands-on in architecture, design, and implementation.
  
  
• You’ll be part of an organization where AI-first thinking, evolutionary architecture, and engineering craftsmanship are core values.
  
  
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