Product Manager (from Fintech)

Role & Responsibilities

As a Software Development Engineer - 3, Backend Engineer , you will play a critical role in architecting, designing, and delivering robust backend systems that power our platform. You will lead by example, driving technical excellence and mentoring peers while solving complex engineering problems. This position offers the opportunity to work with a highly motivated team in a fast-paced and innovative environment.

Key Responsibilities:

Technical Leadership-

• Design and develop highly scalable, fault-tolerant, and maintainable backend systems using Java and related frameworks.
• Provide technical guidance and mentorship to junior developers, fostering a culture of learning and growth.
• Review code and ensure adherence to best practices, coding standards, and security guidelines.

System Architecture and Design-

• Collaborate with cross-functional teams, including product managers and frontend engineers, to translate business requirements into efficient technical solutions.
• Own the architecture of core modules and contribute to overall platform scalability and reliability.
• Advocate for and implement microservices architecture, ensuring modularity and reusability.

Problem Solving and Optimization-

• Analyze and resolve complex system issues, ensuring high availability and performance of the platform.
• Optimize database queries and design scalable data storage solutions.
• Implement robust logging, monitoring, and alerting systems to proactively identify and mitigate issues.

Innovation and Continuous Improvement-

• Stay updated on emerging backend technologies and incorporate relevant advancements into our systems.
• Identify and drive initiatives to improve codebase quality, deployment processes, and team productivity.
• Contribute to and advocate for a DevOps culture, supporting CI/CD pipelines and automated testing.

Collaboration and Communication-

• Act as a liaison between the backend team and other technical and non-technical teams, ensuring smooth communication and alignment.
• Document system designs, APIs, and workflows to maintain clarity and knowledge transfer across the team.

Ideal Candidate

• Strong Java Backend Engineer.
• Mandatory (Experience 1): Must have 5+ years of backend development with strong focus on Java (Spring / Spring Boot)
• Mandatory (Experience 2): Must have been SDE-2 for at least 2.5 years (title should be there in resume)
• Mandatory (Tech skill 1) : Hands-on experience with RESTful APIs and microservices architecture
• Mandatory (Tech skill 2): Strong understanding of distributed systems, multithreading, and async programming
• Mandatory (Tech skill 3): Experience with relational and NoSQL databases
• Mandatory (Tech skill 4) : Exposure to Kafka/RabbitMQ and Redis/Memcached
• Mandatory (Tech skill 5): Experience with AWS / GCP / Azure, Docker, and Kubernetes
• Mandatory (Tech skill 6) : Familiar with CI/CD pipelines and modern DevOps practices
• Mandatory (Tech skill 7): Must have worked on core product/platform teams rather than support or internal tooling
• Mandatory (Ownership & Impact): Candidate should demonstrate end-to-end ownership of backend systems, including architecture/design decisions (HLD/LLD), scalability improvements, or measurable production impact (resume should clearly mention metrics such as scale, throughput, latency improvements, reliability, cost optimization, or user impact)
• Mandatory (Company): Top product companies (logistics, supply chain, e-commerce, or B2B SaaS at large scale)
• Mandatory (Stability): Must have stayed for at least 2 years with each of the previous companies
• Mandatory (Education): B.Tech in computer science or related field from Tier 1, Tier 2 colleges

Job Details

- Job Title: Lead I - Software Engineering - Java, J2Ee, Spring

- Industry: Technology

- Domain - Information technology (IT)

- Experience Required: 6-12 years

- Employment Type: Full Time

- Job Location: Bangalore

- CTC Range: Best in Industry

Job Description:

Role Summary:

We are looking for an experienced Senior Java Developer with expertise in building robust, scalable web applications using Java/J2EE, Spring Boot, REST APIs, and modern microservices architectures. The ideal candidate will be skilled in both back-end and middleware technologies, with strong experience in cloud platforms (AWS), and capable of mentoring junior developers while contributing to high-impact enterprise projects.

The developer will be responsible for full-cycle application development: from interpreting specifications and writing clean, reusable code, to testing, integration, and deployment. You will also work closely with customers and project teams to understand requirements and deliver solutions that optimize cost, performance, and maintainability.

Key Responsibilities:

Application Development & Delivery

• Design, code, debug, test, and document Java-based web applications aligned with design specifications.
• Build scalable and secure microservices using Spring Boot and RESTful APIs.
• Optimize application performance, maintainability, and reusability by using proven design patterns.
• Handle complex data structures and develop multi-threaded, performance-optimized applications.
• Ensure code quality through TDD (JUnit) and best practices.

Cloud & DevOps

• Develop and deploy applications on AWS Cloud Services: EC2, S3, DynamoDB, SNS, SES, etc.
• Leverage containerization tools like Docker and orchestration using Kubernetes.

Integration & Configuration

• Integrate with various databases (PostgreSQL, MySQL, Oracle, NoSQL).
• Configure development environments and CI/CD pipelines as per project needs.
• Follow configuration management processes and ensure compliance.

Testing & Quality Assurance

• Review and create unit test cases, scenarios, and support UAT phases.
• Perform defect root cause analysis (RCA) and proactively implement quality improvements.

Documentation

• Create and review technical documents: HLD, LLD, SAD, user stories, design docs, test cases, and release notes.
• Contribute to project knowledge bases and code repositories.

Team & Project Management

• Mentor team members; conduct code and design reviews.
• Assist Project Manager in effort estimation, planning, and task allocation.
• Set and review FAST goals for yourself and your team; provide regular performance feedback.

Customer Interaction

• Engage with customers to clarify requirements and present technical solutions.
• Conduct product demos and design walkthroughs.
• Interface with customer architects for design finalization.

Key Skills & Tools:

Core Technologies:

• Java/J2EE, Spring Boot, REST APIs
• Object-Oriented Programming (OOP), Design Patterns, Domain-Driven Design (DDD)
• Multithreading, Data Structures, TDD using JUnit

Web & Data Technologies:

• JSON, XML, AJAX, Web Services
• Database Technologies: PostgreSQL, MySQL, Oracle, NoSQL (e.g., DynamoDB)
• Persistence Frameworks: Hibernate, JPA

Cloud & DevOps:

• AWS: S3, EC2, DynamoDB, SNS, SES
• Version Control & Containerization: GitHub, Docker, Kubernetes

Agile & Development Practices:

• Agile methodologies: Scrum or Kanban
• CI/CD concepts
• IDEs: Eclipse, IntelliJ, or equivalent

Expected Outcomes:

• Timely delivery of high-quality code and application components
• Improved performance, cost-efficiency, and maintainability of applications
• High customer satisfaction through accurate requirement translation and delivery
• Team productivity through effective mentoring and collaboration
• Minimal post-production defects and technical issues

Performance Indicators:

• Adherence to coding standards and engineering practices
• On-time project delivery and milestone completion
• Reduction in defect count and issue recurrence
• Knowledge contributions to project and organizational repositories
• Completion of mandatory compliance and technology/domain certifications

Preferred Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
• Relevant certifications (e.g., AWS Certified Developer, Oracle Certified, Scrum Master)

Soft Skills:

• Strong analytical and problem-solving mindset
• Excellent communication and presentation skills
• Team leadership and mentorship abilities
• High accountability and ability to work under pressure
• Positive team dynamics and proactive collaboration

Skills

Java, J2Ee, Spring

Must-Haves

Java, J2Ee, Spring

Machine Learning + Aws+ (EKS OR ECS OR Kubernetes) + (Redshift AND Glue) + Sagemaker

NP: Immediate – 30 Days

We are seeking a Full-stack Developer to help build the next generation of StepOut's web and mobile platforms. In this role, you will design, develop, and optimize applications that deliver performance insights to athletes and coaches worldwide. You'll work in a fast-paced, collaborative environment where ownership, agility, and creativity are keys.

Responsibilities:

• Build and maintain scalable frontend applications using React (JS and native preferred).
• Develop backend services and APIs using Python (Django/Flask preferred).
• Design and manage databases (MongoDB + MySQL).
• Own features end-to-end from planning to deployment.
• Write clean, modular, and production-grade code.
• Debug issues deeply and implement long-term fixes (not patches).
• Collaborate with cross-functional teams (design, product, analytics).
• Contribute to system design, scalability, and performance improvements as a team player.

Requirements:

• Strong experience with React (React JS + React Native preferred).
• Strong experience with Python (Django/Flask preferred).
• Working knowledge of MongoDB and MySQL.
• Ability to build and consume REST APIs.
• Strong problem-solving and debugging ability.
• Genuine interest in football/sports (critical for culture fit).

Bonus Skills (Good to Have):

• Familiarity with cloud platforms (AWS, GCP, or Azure).
• Experience with Docker and containerization.
• Prior exposure to sports-tech, analytics, or performance platforms.

Marketing Manager / Sr. Marketing Manager

Role Overview

We are looking for a highly driven, revenue-focused Marketing Manager / Senior Marketing Manager to lead demand generation and pipeline growth for a fast-scaling B2B SaaS company.

This is not a traditional brand marketing role, but a revenue ownership role. The ideal candidate will be comfortable owning pipeline targets, working closely with Sales, and directly contributing to revenue outcomes.

You will be expected to build, execute, and optimize multi-channel demand generation programs, while also leading and managing demand generation engines and a team of marketers and SDRs to drive consistent pipeline growth.

This role requires someone who is equally strategic and hands-on-  from crafting messaging and writing outbound sequences to driving GTM strategy and leading high-impact campaigns.

Key Responsibilities

1. Revenue & Pipeline Ownership

• Own and deliver on quarterly pipeline revenue targets aligned with organisation goals
• Take full accountability for marketing-sourced and influenced pipeline
• Work closely with Sales leadership to ensure pipeline quality, conversion, and revenue alignment
• Continuously optimize funnel performance across lead → meeting → SQL → revenue stages

2. Demand Generation (Core Ownership)

• Build and scale a predictable demand generation engine across outbound, inbound, and lifecycle channels
• Design and execute integrated marketing campaigns aligned with ICP segments and business priorities
• Own channel mix including email, outbound, ABM, lifecycle, partnerships, and events
• Drive experimentation and iteration to improve conversion rates and cost efficiency

3. SDR Team Management & Alignment

• Directly manage and mentor SDRs / outbound team members
• Own top-of-funnel performance (meetings, responses, pipeline)
• Collaborate closely with SDRs on messaging, targeting, and campaign execution
• Ensure strong alignment between Marketing and SDR teams on goals, reporting, and accountability

4. Account-Based Marketing (ABM)

• Design and execute ABM programs for high-value target accounts
• Partner with Sales to define account lists and engagement strategies
• Build personalized, multi-touch campaigns across email, LinkedIn, and outbound channels
• Track account progression and pipeline impact

5. Lifecycle Marketing

• Own lifecycle journeys across lead nurturing, activation, and re-engagement
• Build automated workflows to move leads across funnel stages
• Optimize touchpoints to improve conversion and pipeline velocity

6. Outbound & Campaign Execution (Hands-On)

• Personally contribute to campaign execution including email writing, sequence design, and outreach strategy
• Be hands-on with cold outreach (email + calling) where required
• Continuously test messaging frameworks, hooks, and value propositions
• Drive performance improvements in open rates, reply rates, and meeting conversions

7. Product Marketing & GTM

• Own positioning, messaging, and value proposition for key products and use cases
• Lead GTM initiatives in collaboration with Product and Sales teams
• Translate product capabilities into compelling narratives for target audiences
• Enable Sales with messaging, collateral, and campaign support

8. Channel & Audience Development

• Leverage platforms like LinkedIn, Reddit, and industry communities for opportunity discovery and engagement
• Own list building, segmentation, and enrichment strategies
• Identify new acquisition channels and test scalable growth opportunities

9. Reporting & Performance Tracking

• Track and report on pipeline contribution, campaign performance, and ROI
• Maintain clear visibility into weekly progress, learnings, and next steps
• Build dashboards to monitor funnel metrics and channel performance

Key Metrics of Success

• Pipeline generated (aligned with $400K–$500K MRR targets per quarter)
• Marketing-sourced and influenced revenue
• Number of qualified meetings / SQLs generated
• Conversion rates across funnel stages
• Campaign ROI and channel efficiency
• SDR team performance and output

Required Skills & Experience

• 7–10+ years of experience in B2B SaaS / AdTech / MarTech marketing
• Proven track record of owning pipeline and revenue targets
• Strong experience in demand generation, ABM, lifecycle marketing, and outbound
• Experience managing SDRs or outbound teams directly
• Hands-on expertise in email marketing, cold outreach, and campaign execution
• Strong copywriting and messaging skills (especially for outbound and GTM campaigns)
• Solid product marketing experience including positioning and messaging
• Experience running integrated, multi-channel campaigns
• Strong analytical mindset with ability to optimize based on data

Preferred Qualifications

• Experience in growth-stage startups ($10M+ ARR)
• Previous experience in AdTech would be a plus
• Prior experience in revenue-linked marketing roles
• Exposure to global markets (US/EU/APAC)
• Experience working in high-accountability, fast-paced environments

Why This Role Matters

This role is central to building a predictable, scalable revenue engine for the company. You will directly influence pipeline, revenue growth, and GTM success, while shaping how marketing contributes to business outcomes.

Compensation

• Competitive salary aligned with B2B SaaS benchmarks
• Strong performance-linked incentives tied to pipeline and revenue outcomes

Total Experience: Minimum 7 years, with recent experience in SaaS sales, with a track record of exceeding quotas.

SaaS Technology Sales Experience: At least 3 years of experience (recent) in a tech-driven B2B SaaS sales role.

Candidate should have Proven expertise in selling tech tools, integrations, and workflow automation solutions to enterprise customers.

Educational Qualification: B.Tech (CS/IT) preferred, or B.Tech (any stream) + MBA.

Startup Experience: Preferred but not mandatory.

Salary Hike Expectation: Maximum 20-30%.

Employment Gap: Candidates unemployed for more than 30 days will not be considered.

Job Stability: No more than two job changes in the last three years.

Notice Period: Should not exceed 30 days.

Mandatory (Experience 1) – Must have 4+ years of software engineering experience

Mandatory (Experience 2) – Must have proven1+ years of experience designing, building, and owning AI runtime infrastructure supporting distributed training and/or inference at scale

Mandatory (Experience 3) – Must have hands-on experience optimizing deep learning runtimes such as PyTorch, TensorFlow, etc

Mandatory (Experience 4) – Must have strong low-level performance engineering experience, including profiling, debugging, and optimizing system throughput, latency, and reliability

Mandatory (Team Lead) – Must have experience leading or mentoring a team, including technical guidance, code reviews, and delivery ownership

Mandatory (Programming Skills) – Must have strong programming skills in Python, Java, C++ , etc

Job Description:

As a Machine Learning Engineer, you will:

• Operationalize AI models for production, ensuring they are scalable, robust, and efficient.
• Work closely with data scientists to optimize machine learning model performance.
• Utilize Docker and Kubernetes for the deployment and management of AI models in a production environment.
• Collaborate with cross-functional teams to integrate AI models into products and services.

Responsibilities:

• Develop and deploy scalable machine learning models into production environments.
• Optimize models for performance and scalability.
• Implement continuous integration and deployment (CI/CD) pipelines for machine learning projects.
• Monitor and maintain model performance in production.

Key Performance Indicators (KPI) For Role:

• Success in deploying scalable and efficient AI models into production.
• Improvement in model performance and scalability post-deployment.
• Efficiency in model deployment and maintenance processes.
• Positive feedback from team members and stakeholders on AI model integration and performance.
• Adherence to best practices in machine learning engineering and deployment.

Prior Experience Required:

• 2-4 years of experience in machine learning or data science, with a focus on deploying machine learning models into production.
• Proficient in Python and familiar with data science libraries and frameworks (e.g., TensorFlow, PyTorch).
• Experience with Docker and Kubernetes for containerization and orchestration of machine learning models.
• Demonstrated ability to optimize machine learning models for performance and scalability.
• Familiarity with machine learning lifecycle management tools and practices.
• Experience in developing and maintaining scalable and robust AI systems.
• Knowledge of best practices in AI model testing, versioning, and deployment.
• Strong understanding of data preprocessing, feature engineering, and model evaluation metrics.

Employer:

RaptorX.ai

Location:

Hyderabad

Collaboration:

The role requires collaboration with data engineers, software developers, and product managers to ensure the seamless integration of AI models into products and services.

Salary:

Competitive, based on experience.

Education:

• Bachelor's degree in Computer Science, Information Technology, or a related field.

Language Skills:

• Strong command of Business English, both verbal and written, is required.

Other Skills Required:

• Strong analytical and problem-solving skills.
• Proficiency in code versioning tools, such as Git.
• Ability to work in a fast-paced and evolving environment.
• Excellent teamwork and communication skills.
• Familiarity with agile development methodologies.
• Understanding of cloud computing services (AWS, Azure, GCP) and their use in deploying machine learning models is a plus.

Other Requirements:

• Proven track record of successfully deploying machine learning models into production.
• Ability to manage multiple projects simultaneously and meet deadlines.
• A portfolio showcasing successful AI/ML projects.

Founders and Leadership

RaptorX is led by seasoned founders with deep expertise in security, AI, and enterprise solutions. Our leadership team has held senior positions at global tech giants like Microsoft, Palo Alto Networks, Akamai, and Zscaler, solving critical problems at scale.

We bring not just technical excellence, but also a relentless passion for innovation and impact.

The Market Opportunity

Fraud costs the global economy trillions of dollars annually, and traditional fraud detection methods simply can't keep up. The demand for intelligent, adaptive solutions like RaptorX is massive and growing exponentially across industries like:

• Fintech and Banking
• E-commerce
• Payments

This is your chance to work on a product that addresses a multi-billion-dollar market with huge growth potential.

The Tech Space at RaptorX

We are solving large-scale, real-world problems using modern technologies, offering specialized growth paths for every tech role.

Why You Should Join Us

1. Opportunity to Grow: As an early-stage startup, every contribution you make will have a direct impact on the company’s growth and success. You’ll wear multiple hats, learn fast, and grow exponentially.
2. Innovate Every Day: Solve complex, unsolved problems using the latest in AI, Graph Databases, and advanced analytics.
3. Collaborate with the Best: Work alongside some of the brightest minds in the industry. Learn from leaders who have built and scaled successful products globally.
4. Make an Impact: Help businesses reduce losses, secure customers, and prevent fraud globally. Your work will create a tangible difference.

Job Role:

• Manage end to end sales funnel right form sourcing to deal closure

• Closely collaborate with marketing team to generate leads

• Work closely with Senior Sales Colleagues to drive closures

• The candidate will be responsible for generating revenue by prospecting new clients

• Use various channels – Cold Calling, Digital Marketing, Automation Tools, Email Marketing Campaigns to generate fresh leads.

• Qualify and develop sales leads by conducting product demonstration at CXO level to

showcase end-to-end product capabilities

• Build ongoing network and relationships by continuously prospecting the right customer.

• Build strong pipeline consistently to ensure sales closures

• Follow best practices and drive process efficiencies / automation & technology innovations

• Gain thorough understanding of the product/platform and continuously learn from new

product updates and pitch them appropriately to the clients

• Work closely with the marketing team to provide market intelligence and plan marketing

campaigns to generate new business. Key Skills required: • Love for research • Love for selling • Passion for technology oriented product

• Translate business objectives and user needs into clearly written technical requirements
• Evaluate HR systems to identify points of improvement
• IT project management experience to implement improvements 
• Partner with internal stakeholders to develop technology solutions that help to streamline and automate (new) HR processes
• Implement process improvements and policy changes designed to improve efficiency and the user experience with the system
• Serve as the go-to subject matter expert for the system used in the organization (e.g., Workday, Oracle, SAP)
• Serve as a system administrator for HR systems and applications
• Ensuring security, end-user access, and data integrity across all HR platforms
• Work with HR, finance and IT to maintain and improve the HRIS, including configuration, end-user access, security, and system efficiency
• Supports critical system maintenance and operational tasks within the HRIS

• Health Memberships 
• Sports Subscriptions 
• Entertainment Subscriptions 
• Key Conferences and Event Passes
• Learning Stipend 
• Team Lunches and Parties 
• Travel Reimbursements 
• ESOPs