VP-Sales

Who We Are

Infosec Ventures incubates and scales cyber security innovators that solve inefficiencies in cyber security, solve big problems and deliver exceptionally high return on investment for customers. We are on a mission to make the world cyber safe, by protecting systems and the ‘human operating system’. Some notable current ventures include humanfirewall.io, emailauth.io, bugsbounty.com, securityrating.com among others. An idea is worth one dollar, it's the execution that adds the zeros at the end of it, to make it a billion dollars!

Job Title: Enterprise Sales Specialist (B2B – IT/Software Product/ Cybersecurity / AI / SaaS) 

Location: India (India & UAE markets)

Experience: 2–6 Years

Role Type: Individual Contributor → Future Team Lead

About the Role

We are looking for a driven B2B sales professional with strong outbound experience, capable of engaging CXO-level stakeholders and closing deals end-to-end across mid-market and enterprise accounts.

Preferred Industry Background - Enterprise SaaS / Cloud Platforms, Cloud & Infrastructure, IT Services & Consulting, Software Product Companies, ERP / CRM / Business Systems, HR Tech / FinTech / MarTech, AI / Data Platforms

Key Responsibilities (KRAs)

● Build and drive outbound pipeline by targeting CXO-level stakeholders (CISO, CIO, CTO, CEO) across India and UAE via email, calls, LinkedIn, and referrals.

● Own the complete sales cycle from prospecting and discovery to demo, proposal, negotiation, and closure.

● Deliver clear, value-driven demos showcasing product capabilities, business impact, and pricing flexibility.

● Maintain a strong, predictable pipeline and consistently achieve revenue targets.

● Share weekly updates and actionable insights on pipeline, performance, and market feedback.

● Start as an individual contributor and gradually mentor juniors on outreach, demos, negotiation, and closing.

Key Requirements

● 2–6 years of experience in B2B sales (SMB, mid-market, or enterprise)

● Proven outbound prospecting and deal closure experience

● Experience engaging with CXO-level stakeholders

● Strong ownership of full sales cycle

● Excellent communication, presentation, and negotiation skills

Good to Have

● Experience in cybersecurity, AI, or SaaS products

● Exposure to international markets (UAE or similar)

● What We’re Looking For

● Hunter mindset with high ownership

● Strong problem-solving and consultative selling approach

● Ability to work in a fast-paced, target-driven environment

If you can build pipelines, close deals, and scale impact—this role is for you.

About the Internship

LetsIntern is looking for passionate and motivated candidates for the AI & Machine Learning Internship Program. This internship is designed for students, freshers, and aspiring AI professionals who want hands-on experience working on real-world AI and Machine Learning projects.

Interns will gain exposure to practical AI workflows, data-driven problem solving, and industry-standard development practices under expert mentorship.

Roles & Responsibilities

✔ Assist in developing AI & Machine Learning models

✔ Work on real-world datasets and predictive analytics tasks

✔ Perform data preprocessing, cleaning, and visualization

✔ Support AI-based application development and testing

✔ Research and implement Machine Learning algorithms

✔ Collaborate with mentors and project teams on live tasks

✔ Prepare reports, insights, and documentation for projects

Skills & Technologies

• Python Programming

• Machine Learning Fundamentals

• Data Analysis & Visualization

• NumPy, Pandas, Matplotlib

• Deep Learning Basics

• NLP & Computer Vision (Basics)

• Model Training & Evaluation

Eligibility Criteria

✔ Students pursuing any degree (CS/IT preferred)

✔ Freshers interested in AI & ML

✔ Candidates passionate about Artificial Intelligence & Data Science

✔ Basic programming knowledge is a plus

✔ Strong willingness to learn and work on projects

What You’ll Gain

✔ Hands-on experience with AI & ML projects

✔ Live training sessions & mentorship

✔ Exposure to industry tools and workflows

✔ Internship Certificate

✔ Letter of Recommendation based on performance

✔ Opportunity to build a strong AI project portfolio

✔ Flexible & remote working environment

REVIEW CRITERIA:

• Strong Credit & Risk strategist profile
• Must have 2.5+ years of experience as credit and risk strategist/analyst in unsecured personal loan in B2C Fintech Product Companies (or NBFC)
• Must have strong understanding of automated underwriting and SMS underwriting for lending
• Must have experience with scorecards, rule engine, bureau data, device signals and behavioural insights
• B2C Fintech Product companies 

ROLE & RESPONSIBILITIES:

We are looking for a Credit & Risk Lead who can craft smart, data-driven credit strategies to scale the app while keeping delinquencies low.

WHAT YOU’LL DO:

• Build and refine credit strategies for short-tenure, small-ticket unsecured personal loans.
• Work with Data Science to improve decision engines, scorecards, rules, and real-time underwriting models.
• Create sharp risk segmentation using behaviour, device signals, bureau data, fraud patterns, and portfolio trends.
• Analyse bounce rates, roll rates, early-bucket trends, and cohort behaviour to identify segments driving delinquencies.
• Share clear insights with Collections to boost pre-due and early DPD performance and improve cure rates.
• Track vintages, cohorts, and DPD curves to iterate policies, limits, and approval logic continuously.
• Strengthen fraud detection, identity checks, and thin-file underwriting frameworks to ensure clean approvals.
• Own policy governance, compliance, documentation, and alignment with RBI Digital Lending Guidelines.
• Stay ahead of market trends, competitor practices, and regulatory shifts to keep the risk engine future-ready.

IDEAL CANDIDATE:

• 2.5+ years in unsecured personal loan risk within a fintech or NBFC.
• Strong understanding of digital underwriting, policy design, and credit decisioning for short-tenure PL.
• Experience working with scorecards, rule engines, bureau data, device signals, and behavioural insights.
• Ability to work closely with Data Science, interpret large datasets, and convert insights into clear credit actions.
• Strong communication, cross-functional collaboration, and a proactive, analytical mindset.

PERKS, BENEFITS AND WORK CULTURE:

• Work directly with Founders: Mikhil Innani, former co-founder of PharmEasy and ex-Product Head at Hotstar, and Diksha Nangia, a former banker and CFA Charterholder.
• Best of both worlds: startup energy + listed company stability.
• Competitive pay and fast-track growth.

The Role

As a DevOps Engineer at Blitzy's Pune headquarters, you'll build and operate the infrastructure that powers our AI agents and the applications they produce. You'll work at the intersection of cloud infrastructure, developer tooling, and AI-native systems — designing the pipelines, clusters, and automation that allow Blitzy to ship production-ready software at machine speed. This is a hands-on, high-ownership role for an engineer who moves fast, automates everything, and cares deeply about developer experience and system reliability.

What Success Looks Like

• Kubernetes clusters are running reliably at scale, with clear deployment standards, Helm-managed releases, and minimal manual intervention required from engineering teams.
• CI/CD pipelines are fast, consistent, and trusted — developers ship confidently knowing the automation handles the rest.
• Observability is comprehensive: alerts are actionable, dashboards are meaningful, and incidents are resolved faster because the right data is always available.
• Infrastructure provisioning is fully automated — no snowflake environments, no manual setup, everything reproducible through code.
• AI agent orchestration infrastructure is stable and scalable, directly enabling Blitzy's core product to deliver for enterprise customers.
• Engineering teams notice the difference — developer productivity is measurably higher and infrastructure is no longer a bottleneck to shipping.

Areas of Ownership

• Build and manage Kubernetes clusters supporting AI agent workloads and application deployment at scale.
• Design, implement, and maintain CI/CD pipelines for application and AI service delivery — ensuring speed, reliability, and repeatability.
• Automate infrastructure provisioning and dynamic scaling using Python scripts and Terraform IaC.
• Deploy and manage applications using Helm charts; own packaging standards and release automation.
• Build and maintain comprehensive observability stacks — alerting, distributed tracing, metrics, and logging (e.g., Prometheus, Grafana, Datadog, OpenTelemetry).
• Monitor and maintain production services and APIs; own incident response and drive blameless postmortems.
• Build dedicated infrastructure for AI agent orchestration and management, enabling Blitzy's core autonomous development capabilities.
• Collaborate with engineering teams on deployment strategies and continuously improve developer experience through tooling and automation.

Required Experience

• 5–8 years of DevOps, infrastructure, or platform engineering experience.
• Python proficiency for scripting, automation, and infrastructure tooling.
• Deep Kubernetes expertise — cluster management, workload deployment, scaling, and troubleshooting.
• Hands-on Helm experience for application packaging and release management.
• Proven ability to design and implement CI/CD pipelines across complex, multi-service environments.
• Practical experience with at least one major cloud platform (AWS, GCP, or Azure).
• Terraform proficiency for infrastructure-as-code provisioning and state management.
• Strong Linux administration and containerization fundamentals (Docker, OCI).

What Makes You Stand Out

• CKA (Certified Kubernetes Administrator) certification.
• Familiarity with MLOps tooling such as MLflow, Kubeflow, or similar platforms for AI/ML workload management.
• Experience with microservices architecture and distributed systems design.
• Knowledge of API gateways and service mesh technologies (Istio, Linkerd, or equivalent).
• Prior experience in a high-growth AI or software startup where you moved fast and owned broadly.
• Track record of meaningfully improving developer productivity through platform and tooling investments.

What Makes This Role Different

Most DevOps roles have you maintaining existing systems. At Blitzy, you're building the infrastructure layer for a platform that autonomously writes enterprise software — a genuinely new category of product. You'll work on AI agent orchestration, Kubernetes at scale, and developer tooling that is directly responsible for how fast Blitzy delivers value to Fortune 500 customers. As an early member of the Pune engineering team, you'll have outsized influence over our infrastructure culture and technical direction. High performers are eligible for company equity — giving you real ownership in what you build.

Virtual Hiring Drive Site Reliability Engineer (SRE)

Date: 25th April 2026, Saturday (Single-Day Drive)

Mode: 100% Virtual - All interview rounds on the same day

Experience: 3 to 7 Years

Note : We are looking for quick joiners who can join us within 30 days.

About the Role

We are looking for a Site Reliability Engineer who understands the realities of running production systems at scale. If building reliable, scalable, and observable systems excites you, you'll enjoy working with us.

At One2N, we solve One-to-N problems where proof of concept is already built and the real challenge lies in scalability, maintainability, performance, and reliability.

You will work closely with startups and mid-sized clients, helping them architect production-grade infrastructure and observability systems.

Key Responsibilities

• Design and build platform engineering solutions with a self-serve model
• Architect and optimize observability systems (metrics, logs, traces)
• Implement monitoring, logging, alerting & dashboards
• Build and optimize CI/CD pipelines
• Automate repetitive operational and infrastructure tasks (IaC-first approach)
• Improve Developer Experience (DX)
• Guide teams on SRE best practices & on-call processes
• Participate in code reviews and mentor engineers
• Contribute to cloud-native and platform engineering initiatives

Must-Have Skills

• 3 - 7 years experience in DevOps / SRE / Platform Engineering
• Strong hands-on with Kubernetes on AWS
• Expertise in observability tools like Datadog / Honeycomb / ELK / Grafana / Prometheus
• Experience with Docker & Microservices architecture
• Infrastructure as Code using Terraform / Pulumi
• Strong Linux troubleshooting skill
• Programming knowledge in Golang / Python / Java
• Automation & scripting expertise

We are looking for an experienced Enterprise Cloud Sales Specialist to drive cloud solution sales and support large enterprises in their digital transformation journey.

Key Responsibilities:

• Manage the end-to-end sales cycle for enterprise cloud solutions.
• Build and maintain strong relationships with CIOs, CTOs, and IT leaders.
• Collaborate with solution architects and internal teams to design tailored cloud strategies.
• Achieve and exceed defined sales and growth targets.
• Stay informed about cloud market trends and emerging technologies.

Key Requirements:

• 5+ years of experience in enterprise or cloud solution sales.
• Strong understanding of cloud platforms, hybrid environments, and enterprise IT infrastructure.
• Proven track record in managing complex sales cycles and achieving sales goals.
• Excellent communication, negotiation, and presentation skills.
• Bachelor’s degree in IT, Engineering, or Business; MBA or cloud certifications preferred.

If you are passionate about driving cloud adoption and enabling enterprise transformation, we invite you to apply and be part of our growing team.

Behavior Labs team:

The Behavior Labs team sits at the centre of the company and curates the Mia coach, that produces the content and insights to bring about behavior change. It pushes out to enterprise users, insights about expected performance behavior during a business period. It enables enterprises to influence the behaviors of sales personnel from encouraging early starts to push for lightning finishes. It guides enterprises on how to monitor and manage the behavioural journey that would lead to positive outcomes. Thousands of sales and customer service personnel across the globe are influenced and nudged towards behavior change that results in better performance outcomes.

The behavior lab has two key tasks – use the latest thinking in the space of BE and employee performance to enable specific user groups performance and developing a holistic understanding of the user and mining those insights to consistently fine tune the product. This team contributes towards the development of the digital design interface through which users view the nudge. The team also prepares behavioral analytics decks for clients on a regular basis.

We are looking for a new age candidate for the position of a Behavioral Researcher to work in an environment that is in the frontier of using human behavioural understanding and technology to influence behavior change amongst enterprise workers.

Key responsibilities will include:

• Generating insights about behavior from a range of data sources; developing testable propositions
• Conducting original research (e.g. small-scale experiments; feasibility studies to test interventions, qualitative research); analysing quantitative and qualitative data. Understand the trade-offs between different research methods (i.e. quant vs qual, survey vs experiment, A/B tests etc.).
• Action the use of behavioral science concepts into the development of the nudge engine. Keep a continuous watch on new developments in the BE field to adopt and apply into product design.
• Use behavioural science to create contextual information, communication ideas that can influence action amongst user groups and drive them towards a behavioural journey.
• Be intellectually curious and open to innovation but maintain objectivity to ensure that the focus remains on the scientific foundation in which the product is built.
• Good communication and influencing skills, both verbal and written, for a product development & customer facing audience. Specifically, the ability to communicate to these audiences in industry language.
• This role requires a person with curiosity and a passion for inquiry, comfort with ambiguity, and an entrepreneurial/learning mindset. Self-motivated and flexible, this person will be adept at both creative and analytical thinking.
• This is a highly collaborative role which requires the ability to work across the organisation’s product & design teams to develop appropriate ways to bridge the intention – action gap amongst users.