Sales Executive

Strong Amazon Ads / Performance Marketing / E-commerce Marketing Profiles.

Mandatory (Experience 1): Must have 2+ years of hands-on experience in managing Amazon PPC campaigns (Sponsored Products, Sponsored Brands, Sponsored Display) for consumer-facing brands (D2C / E-commerce)

Mandatory (Experience 2): Proven experience in end-to-end Amazon Ads campaign management, including campaign setup, optimization, bid strategy, and scaling performance

Mandatory (Experience 3): Strong understanding of key Amazon advertising metrics such as ACOS, ROAS, CTR, CPC, and conversion rate, with a demonstrated ability to optimize campaigns for revenue growth and cost efficiency

Mandatory (Core Skills): Hands-on expertise in keyword research, search term analysis, competitor tracking, and campaign expansion strategies within Amazon ecosystem

Mandatory (Experience 5 Working knowledge of Amazon listing optimization, including A+ Content, product detail pages, and alignment between ads and organic strategy

Mandatory (Domain): Must have experience working with E-commerce / D2C / Consumer brands (preferably in Health & Wellness, FMCG, or similar high-competition categories)

Location: Bangalore

Experience: 2–5 years

Type: Full-time | On-site

Start: Immediate

Why this role exists

Most systems don’t fail because of one big outage.

They fail because reliability is treated as an afterthought.

Right now, uptime depends too much on individual heroics.

That doesn’t scale.

This role exists to build a reliability system where:

• Uptime is predictable
• Failures are contained
• Escalations don’t depend on leadership

What you’ll do

You will not just monitor systems.

You will own reliability as a product.

1. Drive uptime to production-grade reliability

• Improve system uptime to 99.9% customer-facing SLA within 4 months
• Define and track:
• SLAs / SLOs / error budgets
• Ensure reliability is measured from the customer’s perspective, not internal metrics

2. Build incident response as a system

• Set up a 24/7 incident response rotation across 3 engineers
• Eliminate dependency on leadership (no single escalation point)
• Define:
• Incident severity levels
• Response playbooks
• Escalation protocols
• Ensure fast detection → containment → resolution

3. Contain and fix erratic system behavior

• Identify and resolve:
• Latency spikes
• Downtime incidents
• Integration failures
• Build guardrails to prevent recurrence
• Focus on root cause elimination, not temporary fixes

4. Create continuous reliability feedback loops

• Work closely with engineering teams to:
• Surface recurring failure patterns
• Improve build quality
• Reduce production bugs
• Ensure learnings from incidents directly improve future releases

5. Improve observability and monitoring

• Build dashboards and alerts for:
• System health
• Performance metrics
• Failure signals
• Ensure issues are detected before customers report them

6. Reduce operational fragility

• Remove single points of failure (people, systems, workflows)
• Improve system resilience across:
• Deployments
• Integrations
• Runtime environments

What success looks like

• Uptime reaches 99.9%+ reliably
• Incidents are:
• Detected early
• Contained quickly
• Resolved permanently
• No dependency on a single individual for escalation
• System behavior becomes predictable and stable
• Engineering teams ship with higher reliability confidence

Who you are

• You have 2-5 years of experience in SRE / DevOps / backend systems
• You have worked on production systems with real uptime expectations
• You think in:
• Systems
• Failure modes
• Trade-offs
• You are comfortable debugging live, high-pressure environments

What will make you stand out

• Experience with:
• Distributed systems
• Cloud infrastructure (AWS / Azure / GCP)
• Monitoring & alerting tools
• Have built or improved:
• Incident response systems
• Reliability frameworks
• Strong debugging skills across:
• Infra
• Application
• Integrations

Compensation

₹60,000/month (fixed)

(Aligned with role scope and impact expectations)

Why join

• You will define reliability standards for a production AI platform
• Your work directly impacts:
• Customer trust
• Product performance
• Enterprise readiness
• You will move the system from reactive → predictable

What this role is not

• Not just monitoring dashboards
• Not limited to handling tickets
• Not dependent on escalation to leadership

What this role is

• A builder of reliability systems
• A guardian of uptime and performance
• A multiplier of engineering quality

One question to self-evaluate

Can you build a system where downtime is rare, predictable, and never dependent on a single person?

  Designation – Finance Head Department Accounts & Finance Reporting to MD Location Mulund West Education Qualification / Preference CA / CMA / MBA (Finance) Overall duties and responsibilities • Lead all finance, treasury, and fund management functions across the organization. • Independently prepare and manage banking proposals for working capital, term loans, and export credit facilities (renewals, enhancements, documentation). • Handle LCs, buyer’s credit, packing credit, bill discounting, and forex exposure. • Manage cash flow planning, fund utilization, and interest cost optimization. • Drive budgeting, forecasting, and profitability analysis to support management decisions. • Present monthly MIS reports and variance analysis to senior management. • Oversee finalization of accounts, audits, and ensure compliance with Companies Act, GST, and FEMA regulations. • Enforce financial discipline across procurement, production, and sales. • Implement and monitor ERP-based financial controls and real time reporting. Liaise effectively with banks, auditors, and financial institutions for smooth operations and timely approvals Work Experience/Knowledge • CA / CMA / MBA (Finance) with 12–18 years’ experience in manufacturing and export-oriented companies. • Proven record of independently handling banking relationships and proposals for limits of ₹100–300+ crore. • Strong knowledge of working capital management, trade finance, and forex operations. • Excellent financial planning, analytical, and negotiation skills. • Proficient in ERP-based financial reporting and data-driven decision-making. Hands-on, proactive leader capable of guiding accounting, costing, and commercial teams 

• Designing and building mobile applications for Apple’s iOS platform.
• Collaborating with the design team to define app features.
• Ensuring quality and performance of the application to specifications.
• Identifying potential problems and resolving application bottlenecks.
• Fixing application bugs before the final release.
• Publishing application on App Store.
• Maintaining the code and atomization of the application.
• Designing and implementing application updates

Striim (pronounced “stream” with two i’s for integration and intelligence) was founded in 2012 with a simple goal of helping companies make data useful the instant it’s born.

Striim’s enterprise-grade, streaming integration with intelligence platform makes it easy to build continuous, streaming data pipelines – including change data capture (CDC) – to power real-time cloud integration, log correlation, edge processing, and streaming analytics

2 - 5 Years of Experience in any Programming any language (Polyglot Preferred ) & System Operations • Awareness of Devops & Agile Methodologies • Proficient in leveraging CI and CD tools to automate testing and deployment . • Experience in working in an agile and fast paced environment . • Hands on knowledge of at least one cloud platform (AWS / GCP / Azure). • Cloud networking knowledge: should understand VPC, NATs, and routers. • Contributions to open source is a plus. • Good written communication skills are a must. Contributions to technical blogs / whitepapers will be an added advantage.

Key Responsibilities:

• Understand Business requirements in BI context and design data models to transform raw data into meaningful insights
• Create dashboards and interactive visual reports using Power BI
• Analyze data and present data through reports that aid decision-making
• Design, develop, test, and deploy Power BI scripts and perform detailed analytics
• Communicate with Business units & leadership team and aim at better visualization and transparency of data analytics, driving insightful business strategies and improved business performances
• Partner with other Technology teams to create Data models, Charts & Reports in a scalable and controlled environment

Knowledge/Experience:

• A bachelor’s degree in data science, data analytics, computer science, mathematics, statistics, econometrics, financial engineering, computer or electrical engineering, or other related quantitative fields
• 4-5 years of experience in Data Preparation & Analysis, Business Intelligence using Data visualization tools (e.g.: Power BI) and sound knowledge of JavaScript, SQL
• An understanding of Machine Learning and Artificial Intelligence (AI)
• Experience with analysis in FMCG or Electronic sector is preferred
• Strong knowledge of Microsoft Excel & PowerPoint

Skills/Qualifications:

• Strong analytical skills and ability to work in a fast-paced environment
• Business acumen to understand complex business problems and translate them into analysis that leads to actionable business insights
• Strong communication skills (oral and written) to explain complex data and analytical problems
• Willingness to learn and to explore new ideas, with independent thinking and attention to details
• Strong work ethics, the can-do attitude and excellent interpersonal skills

• Key Responsibilities : Use cases to support use case analysis E2E, define capabilities, understand the data and model Machine Learning Operations MLOps Azure Machine Learning, Azure Cognitive Services, Azure DevOps, Overall Azure Cloud Experience, Powershell, DSVM, AML Compute / Training Clusters Azure Infrastructure Experience, Python, Big Data Python Scripting 8 Automate ML models deployments,  Manage, monitor, troubleshoot machine learning infrastructure and Setup ML Pipe lines
• Technical Experience : Proven skills experience in Azure AI ML solution design and architecture based solution using Azure Cloud capabilities AML / AKS Proven record of embedding advanced analytical models into business processes Collaborate in multi-functional teams to evaluate business activities, and then develop innovative and effective approaches to tackle teams analytics problems and communicate results bitbucket, Nodejs, PowerBI SQL, Python
• Experience in setting up MLOps framework for AI ML team