
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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Job Mode : Remote
Shift Timings: 6.00 pm to 3.00 am IST (EST Time Zone)
We are seeking a Product Marketing Manager with a proven track record in B2B SaaS product
marketing. This individual will be responsible for positioning our products in the market, driving go-to-market strategies, and enabling sales teams with compelling messaging and competitive intelligence. You will report to the VP of Demand Generation & Revenue Strategy and work cross-functionally with Product, Sales, Customer Success, and Marketing teams.
JOB OVERVIEW:
Product Positioning & Messaging
● Develop and refine product positioning, messaging, and value propositions that resonate with target
audiences
● Create compelling product narratives that differentiate SalesIntel in competitive markets
● Conduct market research and competitive analysis to inform positioning strategies
● Develop messaging frameworks for different customer segments (SMB, Mid-Market, Enterprise)
Go-to-Market Strategy
● Lead go-to-market planning and execution for new product launches and feature releases
● Collaborate with Product teams to understand roadmap priorities and translate technical capabilities
into market-facing benefits
● Define target customer segments, buyer personas, and ideal customer profiles
● Develop pricing and packaging strategies in partnership with Product and Revenue teams
Sales Enablement & Training
● Create sales enablement materials including battle cards, competitive positioning, objection handling
guides, and demo scripts
● Develop and maintain sales training programs on product positioning, competitive differentiation, and
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● Partner with Sales leadership to understand pipeline challenges and create materials to address
conversion bottlenecks
● Conduct regular sales training sessions and product updates
Customer & Market Intelligence
● Gather customer insights through interviews, surveys, and feedback analysis to inform product and
marketing strategies
● Analyze market trends, competitive landscape, and customer behavior to identify opportunities
● Create buyer journey maps and understand decision-making processes
Content & Campaign Strategy
● Develop product-focused content including whitepapers, solution briefs, webinars, and thought
leadership pieces
● Collaborate with Marketing teams to create integrated campaigns that drive product awareness and
adoption
● Create product marketing assets for trade shows, conferences, and industry events
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Cross-functional Collaboration
● Work closely with Product Management to influence roadmap priorities based on market feedback
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opportunities
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● Support Revenue teams with competitive intelligence and win/loss analysis
Performance Measurement
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● Conduct win/loss analysis to understand competitive positioning effectiveness
● Measure and optimize sales enablement program impact on conversion rates and deal velocity
● Analyze customer feedback and market response to refine messaging and positioning
REQUIRED SKILLS & QUALIFICATIONS:
● 10+ years of product marketing experience, preferably in B2B SaaS
● Experience in product positioning, go-to-market strategy, and competitive analysis
● Proven track record in sales enablement and creating materials that drive revenue impact
● Experience with market research, customer interviews, and competitive intelligence
● Deep understanding of B2B sales processes and buyer journeys
Technical Skills:
● Proficiency with CRM systems (Salesforce, HubSpot) and marketing automation platforms
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Core Competencies:
● Strong written and verbal communication skills with ability to translate technical concepts into
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PREFERRED SKILLS & QUALIFICATIONS:
● SaaS experience across SMB, Mid-Market, and Enterprise segments
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REPORTING: This position will report to the Chief Revenue Officer or assigned Manager within the Department.
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****
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Company name : Logical SoftTech
Email : - hrlogicalsofttech(@)gmail.com, hrlogicalcoders(@)gmail.com
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Srijan is hiring for Site Reliability Engineering (SRE), We are looking for SRE/DevOps- Tech Lead or Sr. Tech Lead with strong automation skills and a good understanding of how to build & run secure & reliable platforms for cloud-native applications. Please find below the detailed job description and kindly go through the same for reference:-
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Proactively monitor and review application performance
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Contribute in Solution Designing and evaluating Technical Debt
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Set right practices for Well-Defined Architecture & to minimize toil.
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Own SLI, SLO configuration as per Error Budget
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Maintain production services through measuring and monitoring availability, latency, and overall system health.
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Practice sustainable incident response and blameless postmortems.
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Managing the delivery pipeline into production.
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Able to mentor junior members on regular basis
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Troubleshooting issues with web applications
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Understanding of security principles and best practices
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Ensuring that critical data is backed up
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Configuration of monitoring systems including infrastructure monitoring and Application Performance Monitoring systems such as New Relic.
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Ensuring that web application infrastructure is built
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Ability to act as Customer Technical Advocate and negotiate well with peers on technical fronts.
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Flexible enough to work in different Shifts for hyper business requirement
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Ability to handle multiple global clients on tech front and generate desired reports to represent health of SRE Delivery.
Skills/Experience:-
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A key skill of a SRE Tech Lead is that they have a deep knowledge of the application, the code, and how it runs, is configured, and scales. That knowledge is what makes them so valuable at also monitoring and supporting it as site reliability engineers.
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System administration, security, and networking
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The SRE Tech Lead expected to have a good understanding of system administration (Linux or Windows) and networking.
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Essential commands
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User and Group Management
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Knowledge of networking concepts (DNS, TCP/IP, and Firewalls)
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Service Configuration
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Storage Management
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Good grasp of fundamental security concepts
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Good understanding of infrastructure as code principles.
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Knowledge of a scripting language such as Bash
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Ability to configure infrastructure using a Configuration Management technology such as Puppet, Chef, or Ansible.
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Familiarity with Jenkins or any other CI/CD tool
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Proficiency in a high-level programming language such as Python or Go.
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Understanding of container technologies such as Docker, Kubernetes
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2 yrs+ hands on experience with container orchestration technologies such as ECS, EKS, AKS or Kubernetes would be beneficial.
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Use Terraform and other IaC to deploy cloud infrastructure.
Cloud technologies:-
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Experience designing available, cost-efficient, fault-tolerant, and scalable distributed systems on AWS/Azure
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Hands-on experience using compute, networking, storage, and database AWS/Azure services
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Hands-on experience of 4 yrs+ with AWS/Azure deployment and management services
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Ability to identify and define technical requirements for an AWS/AZURE-based application
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Ability to identify which AWS/AZURE services meet a given technical requirement
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Knowledge of recommended best practices for building secure and reliable applications on the AWS/AZURE platform
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An understanding of the AWS/AZURE global infrastructure
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An understanding of network technologies as they relate to AWS/AZURE
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An understanding of security features and tools that AWS/AZURE provides and how they relate to traditional services
The founder is a Finance Post Graduate who quit his glittering Investment Banking career to embark on this journey of helping out our future generation in selecting the right career option based on various aspects. They have already connected to a million students and plan to reach 10 million by 2022.
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- Setting a vision for how technology will be used in the company
- Ensuring that technological resources meet the company's short and long-term needs
- Outlining the goals for research and development
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- Making executive decisions on behalf of the company's technological requirements
- Setting up of CI/CD pipelines to automate deployments at various stages, dev to staging to production at scale
- Setting up of APMs and integration with Slack to monitor the distributed system’s health in real-time
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- Maintaining a consumer-focused outlook
- Managing technology budgets and time frames
- Staying on top of technology trends and developments
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What you need to have:- 8-12 years of overall experience
- 5+ years of experience in managing a self-organizing, high growth team
- 3+ years of experience as a developer
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- Knowledge of scaling high traffic apps using Heroku/EBS etc.
- DevOps knowledge
- Working knowledge of Data Warehousing and CDP platforms
About Company: Spica Systems (https://spicasys.com )
Spica Systems is a Silicon Valley based start-up, established in 2019 and are recognized as experts in building products and providing R& DandSoftware Development services in wide range of leading-edge technologies such as LTE, 5G, Cloud Services (Public -AWS, AZURE, GCP, Private -Openstack) and Kubernetes. Ithasa highly scalable and secured 5G Packet Core Network, orchestrated by ML powered Kubernetes platform, which can be deployed in various multi cloud modealong with a test tool. Headquartered in San Jose, California, we have our R& D centre in Sector V, Salt Lake Kolkata.
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Education: Bachelors/Masters in Computer Science, IT or Mathematics or Engineering
Traits: Quick learner, open minded, willing to learn
We are looking for an outstanding ML Architect (Deployments) with expertise in deploying Machine Learning solutions/models into production and scaling them to serve millions of customers. A candidate with an adaptable and productive working style which fits in a fast-moving environment.
Skills:
- 5+ years deploying Machine Learning pipelines in large enterprise production systems.
- Experience developing end to end ML solutions from business hypothesis to deployment / understanding the entirety of the ML development life cycle.
- Expert in modern software development practices; solid experience using source control management (CI/CD).
- Proficient in designing relevant architecture / microservices to fulfil application integration, model monitoring, training / re-training, model management, model deployment, model experimentation/development, alert mechanisms.
- Experience with public cloud platforms (Azure, AWS, GCP).
- Serverless services like lambda, azure functions, and/or cloud functions.
- Orchestration services like data factory, data pipeline, and/or data flow.
- Data science workbench/managed services like azure machine learning, sagemaker, and/or AI platform.
- Data warehouse services like snowflake, redshift, bigquery, azure sql dw, AWS Redshift.
- Distributed computing services like Pyspark, EMR, Databricks.
- Data storage services like cloud storage, S3, blob, S3 Glacier.
- Data visualization tools like Power BI, Tableau, Quicksight, and/or Qlik.
- Proven experience serving up predictive algorithms and analytics through batch and real-time APIs.
- Solid working experience with software engineers, data scientists, product owners, business analysts, project managers, and business stakeholders to design the holistic solution.
- Strong technical acumen around automated testing.
- Extensive background in statistical analysis and modeling (distributions, hypothesis testing, probability theory, etc.)
- Strong hands-on experience with statistical packages and ML libraries (e.g., Python scikit learn, Spark MLlib, etc.)
- Experience in effective data exploration and visualization (e.g., Excel, Power BI, Tableau, Qlik, etc.)
- Experience in developing and debugging in one or more of the languages Java, Python.
- Ability to work in cross functional teams.
- Apply Machine Learning techniques in production including, but not limited to, neuralnets, regression, decision trees, random forests, ensembles, SVM, Bayesian models, K-Means, etc.
Roles and Responsibilities:
Deploying ML models into production, and scaling them to serve millions of customers.
Technical solutioning skills with deep understanding of technical API integrations, AI / Data Science, BigData and public cloud architectures / deployments in a SaaS environment.
Strong stakeholder relationship management skills - able to influence and manage the expectations of senior executives.
Strong networking skills with the ability to build and maintain strong relationships with both business, operations and technology teams internally and externally.
Provide software design and programming support to projects.
Qualifications & Experience:
Engineering and post graduate candidates, preferably in Computer Science, from premier institutions with proven work experience as a Machine Learning Architect (Deployments) or a similar role for 5-7 years.












