
Engineering Manager
at A fast-growing SaaS commerce company permanent WFH & Office
Job Description
What is the role?
Expected to manage the product plan, engineering, and delivery of Plum Integration activities. Plum is a rewarding and incentive infrastructure for businesses. It's a unified integrated suite of products to handle various rewarding use cases for consumers, sales, channel partners, and employees. 31% of the total tech team is aligned towards this product and comprises 32 members within Plum Tech, Quality, Design, and Product management. The annual FY 2019-20 revenue for Plum was $ 40MN and is showing high growth potential this year as well. The product has a good mix of both domestic and international clientele and is expanding. The role will be based out of our head office in Bangalore, Karnataka however we are open to discuss the option of remote working with 25 - 50% travel.
Key Responsibilities
- Scope and lead technology with the right product and business metrics.
- Directly contribute to product development by writing code if required.
- Architect systems for scale and stability.
- Serve as a role model for our high engineering standards and bring consistency to the many codebases and processes you will encounter.
- Collaborate with stakeholders across disciplines like sales, customers, product, design, and customer success.
- Code reviews and feedback.
- Build simple solutions and designs over complex ones and have a good intuition for what is lasting and scalable.
- Define a process for maintaining a healthy engineering culture (Cadence for one-on-ones, meeting structures, HLDs, Best Practices In development, etc.).
What are we looking for?
- Manage a senior tech team of more than 5 direct and 10 indirect developers.
- Should have experience in handling e-commerce applications at scale.
- Should have experience working with applications like HubSpot salesforce and other CRM.
- Should have experience in B2B integrations.
- Should have at least 10+ years of experience in software development, agile processes for international e-commerce businesses.
- Should be extremely hands-on, with an Automate as much as possible mind set full-stack developer.
- Should exhibit skills to build a good engineering team and culture.
- Should be able to handle the chaos with product planning, prioritizing, customer-first approach.
- Technical proficiency
- Frameworks like React, React Native, Node.js, GraphQL
- Databases technologies like Elasticsearch, Redis, MySQL, MongoDB, Kafka
- Dev ops to manage and architect infra - AWS, CI/CD (Jenkins)
- System Architecture w.r.t Microservices, Cloud Development, DB Administration, Data Modeling
- Understanding of security principles and possible attacks and mitigate them.
Whom will you work with?
You will lead the Plum Integration Engineering team and work in close conjunction with the Tech leads of Plum with some cross-functional stake with other products. Your will report to the CTO directly.
What can you look for?

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● Identify enterprises that need L&D programs and establish contact.
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Company Description
We are an SF-based stealth mode AI startup, building AI agents and automation tools for Marketing use-cases. We are ex-Big Tech, currently bootstrapped and working with a few design partners/early customers. We will be starting a fundraise in Q3 2024.
Role Description
This is a part-time remote role for a Founding Engineer (first engineering hire). This is an equity-only role, meaning compensation will be in the form of equity rather than a salary.
This role will be 30% applied research and 70% product engineering. The expectation is that you will be able to commit 15 hours per week for this role to begin with.
You will -
- Experiment with the latest AI technologies and research and put them into implementation.
- Have the freedom and responsibility to design and own projects from start to finish.
- Have opportunities to directly talk with customers and solve their problems!
About you
- Love to keep up with and dive into latest technologies in AI
- Move fast, ship quickly, has high urgency
- Energized about going from 0 to 1
- Enjoy high ownership and responsibility
- Familiar with no-code tools and frameworks
- Excited about working on AI-native user experiences
Requirements
- Bachelor’s or higher degree in Computer Science or a related field (Also open to university students for the right candidate)
- Knowledge of gen-AI systems (LLMs, model training/fine-tuning, agent frameworks, evaluation frameworks, vector DBs, RAG, etc)
- Experience in building and scaling backend systems and infrastructure
- Strong generalist, skilled with Python, cloud infrastructure (AWS).
What we offer
- Technical Ownership: You will own high level (and lower level) technical decisions for an early-stage startup, with mentorship from seasoned Engineering leaders from Silicon Valley.
- Equity: As a key initial hire, you will receive significant founding equity and ownership in the company.
- Growth: You will have a natural on-ramp to come onboard as a full-time, salaried Founding Engineer after a fundraise event.
OBJECTIVE :
- The Product Development team within PayMate works with business to establish the overall strategy and priorities for the products and platforms. Based on the business strategy and overall priorities, the Product Development team creates product plan, including high level business requirements, solution designs, benefits definition and aligns with overall go to market rollout plan.
- We are looking to hire Product Managers with Payments background and Supply Chain Finance experience. You will engage existing and potential customers directly, and decide the future of the product based upon a strong understanding of the customer requirements. You will also collaborate with technology, marketing, sales and support to solve for the best customer experience.
- The candidate should be willing to accept a dynamic and multi-faceted role requiring to work across several teams and even geographies, while working with the core management team on the best way forward to help achieve our collective goals.
KEY RESPONSIBILITIES :
- Build a scalable Payments Automation System
- Meet regularly with key customer facing teams to collect and analyse user feedback to shape new product ideas and user requirements.
- Implements usage tracking and analyse patterns to validate new feature requirement.
- Have strong solution skills in translating customer needs to product functionalities.
- Convert ideas to prototypes and demonstrate them to the key partners.
- Stay on top of the market and competition.
- Act like an owner for the success of your product.
- Will be responsible for the end to end product roadmap from features creation, prioritization, go live, onboarding process streamlining.
- Responsible for regular running of solutions and products - monitoring success through revenue
- Maintain communication among and between stakeholders - interacting with business managers to ideate the requirements , work with the technology teams to implement the solutions
- Collaborate and work with various internal departments and external vendors in the launch and implementation of the processing platform for specific clients in the specific markets and regions. This involves working with the technical teams for roadmap, feature and release management
- Definition of platform features include creating detailed user and process flows
- technical level designs and algorithms to satisfy the feature requirements
- Working with clients to define business requirements from the high level down to the detailed levels.
- Work with the technical development teams to review the solution and technical designs with an understanding of how the solution impacts the overall platform architecture
- Work with the technical testing teams to review the test cases and testing to ensure newly defined platform features are properly tested
- Some platform features require the development of new APIs for which field level designs are required.
- Collaborate and work closely with our external processing partners and vendors in the launch and implementation of the processing platform for all markets and regions.
- Work with our processing partners to ensure the card processor's platform has features that are needed for the specific markets in question and where there are gaps to draft up the solution in conjunction with our partners and have that delivered in a timely manner
- This role would require the person to work across geographies, time zones, cultures and competencies as well as internal teams who might not be very familiar with global payments & its intricacies
- Be willing to get your hands dirty - from writing feature stories, drawing swim lane diagrams to running sprint meetings, you will do it all
- You would be required to articulate & justify your vision & strategy behind you roadmap to domain experts & leaders again & again in a crowded & evolving payment stage
- Dealing with engineers & architects to design new flows, adapt systems to new market innovations while maintaining integrity & scalability of the platform is vital
PREVIOUS EXPERIENCE :
- 5-7 years of experience in product management with 3 or more years in Payments background
- Strong customer centricity
- Ability to think creative and solve problem
- Familiarity in agile development framework will be preferable.
- Prior experience at fast growing fintech / B2B startups will be preferable
- Highly adaptable and aware. Comfortable in an evolving and dynamic environment.
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- Problem-solving and detail orientation come naturally to you.
- Worked with banking & payments partners
- An engineering degree (a management degree is a bonus, not mandatory)
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- Knowledge of Product Management tools like Trello, JIRA, Figma, MS Projects, Postman, etc.
Job Description
We are looking for a highly capable machine learning engineer to optimize our deep learning systems. You will be evaluating existing deep learning (DL) processes, do hyperparameter tuning, performing statistical analysis (logging and evaluating model’s performance) to resolve data set problems, and enhancing the accuracy of our AI software's predictive automation capabilities.
You will be working with technologies like AWS Sagemaker, TensorFlow JS, TensorFlow/ Keras/TensorBoard to create Deep Learning backends that powers our application.
To ensure success as a machine learning engineer, you should demonstrate solid data science knowledge and experience in Deep Learning role. A first-class machine learning engineer will be someone whose expertise translates into the enhanced performance of predictive automation software. To do this job successfully, you need exceptional skills in DL and programming.
Responsibilities
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Consulting with managers to determine and refine machine learning objectives.
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Designing deep learning systems and self-running artificial intelligence (AI) software to
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Transforming data science prototypes and applying appropriate ML algorithms and
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Carry out data engineering subtasks such as defining data requirements, collecting,
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Carry out modeling subtasks such as training deep learning models, defining
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Documenting machine learning processes.
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Proven experience as a Machine Learning Engineer or similar role.
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Should have indepth knowledge of AWS Sagemaker and related services (like S3).
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Extensive knowledge of ML frameworks, libraries, algorithms, data structures, data
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Ability to write robust code in Python & Javascript (TensorFlow JS).
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Experience with Git and Github.
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Superb analytical and problem-solving abilities.
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Excellent troubleshooting skills.
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Good project management skills.
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Great communication and collaboration skills.
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Excellent time management and organizational abilities.
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Bachelor's degree in computer science, data science, mathematics, or a related field;
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Developing back-end website applications.
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Responsibilities:
- Define the technical architecture for Vital
- Complete responsibility of the development of the backend, web app, and the native app
- Recruit, manage and mentor a team of frontend developers, backend developers and quality engineers
- Ensure timely delivery of all features
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Requirements:
- 10+ years of application development experience in a good product company
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- Undergrad CS degree from NIT or a good regional college is a MUST
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- Expert in writing T-SQL programming for complex stored procedures, functions, views and query optimization.
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- Building data models both tabular and multidimensional using SQL Server data tools.
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- Programming experience using python libraries NumPy, Pandas and Matplotlib.
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