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Hi,
We are seeking a senior data leader with deep functional expertise in Salesforce Sales and Service domains to own the enterprise data model, metrics, and analytical outcomes supporting Sales, Service, and Customer Operations.
This role is business‑first and data‑centric. The successful candidate understands how Salesforce Sales Cloud and Service Cloud data is generated, evolves over time, and is consumed by business teams, and ensures analytics accurately reflect operational reality.
Snowflake serves as the enterprise analytics platform, but Salesforce domain mastery and functional data expertise are the primary requirements for success in this role.
Core Responsibilities
Salesforce Sales & Service Data Ownership
· Act as the data owner and architect for Salesforce Sales and Service domains.
- Own Sales data including leads, accounts, opportunities, pipeline, bookings, revenue, forecasting, and CPQ (if applicable).
- Own Service data including cases, case lifecycle, SLAs, backlog, escalations, and service performance metrics.
- Define and govern enterprise‑wide KPI and metric definitions across Sales and Service.
- Ensure alignment between Salesforce operational definitions and analytics/reporting outputs.
- Own cross‑functional metrics spanning Sales, Service, and the customer lifecycle (e.g., customer health, renewals, churn).
Business‑Driven Data Modeling
· Design Salesforce‑centric analytical data models that accurately reflect Sales and Service processes.
- Model sales stage progression, pipeline history, and forecast changes over time.
- Model service case lifecycle, SLA compliance, backlog aging, and resolution metrics.
- Handle Salesforce‑specific complexities such as slowly changing dimensions (ownership, territory, account hierarchies).
- Ensure data models support operational dashboards, executive reporting, and advanced analytics.
Analytics Enablement & Business Partnership
· Partner closely with Sales Operations, Service Operations, Revenue Operations, Finance, and Analytics teams.
- Translate business questions into trusted, reusable analytical datasets.
- Identify data quality issues or Salesforce process gaps impacting reporting and drive remediation.
- Enable self‑service analytics through well‑documented, certified data products.
Technical Responsibilities (Enabling Focus)
· Architect and govern Salesforce data ingestion and modeling on Snowflake.
- Guide ELT/ETL strategies for Salesforce objects such as Opportunities, Accounts, Activities, Cases, and Entitlements.
- Ensure reconciliation and auditability between Salesforce, Finance, and analytics layers.
- Define data access, security, and governance aligned with Salesforce usage patterns.
- Partner with data engineering teams on scalability, performance, and cost efficiency.
Required Experience & Skills
Salesforce Sales & Service Domain Expertise (Must‑Have)
· Extensive hands‑on experience working with Salesforce Sales Cloud and Service Cloud data.
- Strong understanding of sales pipeline management, forecasting, and revenue reporting.
- Strong understanding of service case workflows, SLAs, backlog management, and service performance measurement.
- Experience working directly with Sales Operations and Service Operations teams.
- Ability to identify when Salesforce configuration or process issues cause reporting inconsistencies.
Data & Analytics Expertise
· 10+ years working with business‑critical analytical data.
- Proven experience defining KPIs, metrics, and semantic models for Sales and Service domains.
- Strong SQL and analytical skills to validate business logic and data outcomes.
- Experience supporting BI and analytics platforms such as Tableau, Power BI, or MicroStrategy.
Platform Experience
· Experience using Snowflake as an enterprise analytics platform.
- Understanding of modern ELT/ETL and cloud data architecture concepts.
- Familiarity with data governance, lineage, and access control best practices.
Leadership & Collaboration
· Acts as a bridge between business stakeholders and technical teams.
- Comfortable challenging requirements using business and data context.
- Mentors engineers and analysts on Salesforce data nuances and business meaning.
- Strong communicator able to explain complex Salesforce data behavior to non‑technical leaders.
Thanks,
Ampera Talent Team
About Poshmark
Poshmark is a leading fashion resale marketplace powered by a vibrant, highly engaged community of buyers and sellers and real-time social experiences. Designed to make online selling fun, more social and easier than ever, Poshmark empowers its sellers to turn their closet into a thriving business and share their style with the world. Since its founding in 2011, Poshmark has grown its community to over 130 million users and generated over $10 billion in GMV, helping sellers realize billions in earnings, delighting buyers with deals and one-of-a-kind items, and building a more sustainable future for fashion. For more information, please visit www.poshmark.com, and for company news, visit newsroom.poshmark.com.
About the role
We seek a Senior Software Development Engineer In Test (Sr. SDET) who will collaborate with stakeholders to define comprehensive test strategies and partner with developers, product managers, and QA teams to design, develop, and maintain robust automated testing frameworks and solutions.
You'll greatly impact the quality of Poshmark's growing products and services by creating the next generation of tools and frameworks that make our users and developers more productive. You will influence better software design, promote proper engineering practice, bug prevention strategies, testability, accessibility, privacy, and other advanced quality concepts across products.
Responsibilities
- Test Harnesses and Infrastructure
- Design, implement, and maintain test harnesses and scalable testing infrastructure by writing high-quality code.
- Automation Frameworks
- Build and extend automation frameworks using tools like Selenium and Appium, writing clean, reusable, and efficient code to enable reliable test execution.
- Product Quality Monitoring
- Actively monitor product development and usage at all stages, using custom scripts or tools to identify areas for quality improvement.
- Collaborative Development
- Partner with developers to write testable code, identify potential issues early in the development cycle, and integrate testing into CI/CD pipelines.
- Metrics and Reporting
- Create and maintain automated solutions for tracking and reporting quality metrics, enabling data-driven decision-making.
6-Month Accomplishments
- Enhance Automation Framework
- Collaborate with development teams to design and add new features to the automation framework, ensuring it evolves to meet project needs.
- Run and Debug Automation Tests
- Perform regular automation tests across multiple platforms, debug and resolve issues, and ensure smooth execution of regression tests to maintain product stability.
- Improve Product Quality Metrics
- Identify and resolve high-priority defects, reducing production issues and improving quality metrics such as defect density and cycle time.
12+ Month Accomplishments
- Build Testing Infrastructure
- Set up scalable test harnesses and integrate them with CI/CD pipelines to enable continuous testing and faster feedback loops.
- Knowledge Sharing and Collaboration
- Mentor team members in test automation best practices, introduce efficient coding standards, and foster cross-functional collaboration for seamless delivery.
- Optimize Test Efficiency
- Lead efforts to improve test execution time by optimizing automation scripts and implementing parallel testing, resulting in faster feedback cycles and more efficient releases.
Qualifications
- 4 to 7 years of solid programming and scripting experience with languages such as Python and Java.
- Experienced in developing scalable test automation systems for web, mobile, and APIs using frameworks such as Appium, Selenium, and WebDriver.
- Strong time management and prioritization abilities, capable of working both independently and in a collaborative team environment.
- Proficient in writing clean, maintainable, and efficient code, with strong debugging skills.
- Hands-on experience with tools such as Jira, Confluence, GitHub, Unix commands, and Jenkins.
- Skilled in all stages of automation, including GUI testing, integration testing, and stress testing.
Oracle EBS HCM Analyst
Position Description
We are seeking an experienced Techno-Functional Oracle EBS HCM Analyst with deep expertise in HR, Payroll, and OTL (Oracle Time & Labor) modules. The ideal candidate will have a strong understanding of both business processes and technical configurations, ensuring seamless integration, support, and optimization of the Oracle EBS HCM system across multiple GREs and payrolls.
Key Responsibilities:
Configure, maintain, and support Oracle EBS HCM modules including Core HR, Payroll, and OTL.
Manage and support multiple payrolls across several GREs, ensuring accuracy and compliance with organizational and statutory requirements.
Develop, troubleshoot, and optimize Payroll Fast Formulas and related functions.
Ensure compliance with federal and state tax withholding rules and minimum wage regulations.
Perform data validation, extracts, and reporting using SQL and other tools.
Create and maintain end-user documentation, training materials, and functional specifications.
Handle Service Requests (SRs) — creation, tracking, and resolution through Oracle Support or internal teams.
Collaborate with cross-functional teams to support IT and regression testing for patches, upgrades, and other system changes.
Analyze and resolve technical and functional issues impacting HR, Payroll, and OTL operations.
Partner with HR and Payroll business users to identify improvement opportunities and implement system enhancements.
Required Skills & Qualifications:
15+ years of techno-functional experience in Oracle EBS HCM (R12 or higher).
In-depth understanding of HR, Payroll, and OTL configurations and schemas.
Strong experience with Payroll Fast Formulas and core payroll functions.
Expertise in SQL for queries, data validation, and reporting.
Sound knowledge of tax rules, wage compliance, and statutory requirements.
Proven ability to support multiple GREs and payrolls simultaneously.
Experience with testing processes — IT, UAT, and regression testing.
Strong documentation, training, and communication skills.
Proven track record of handling SR lifecycle management effectively.
Nice to Have:
Experience with Oracle EBS R12.2 or higher versions.
Familiarity with Oracle Cloud HCM (for potential migration or hybrid environments).
Exposure to integration tools (e.g., WebADI, BI Publisher, or OTBI).
Are you a front-end developer looking to fast-track your learning and growth? Have you
looked at world class products like Asana, Notion, or Airtable, and felt “I wish I were part of
the early team that built these products”? we’re a team that has previously built and rolled out globally successful SaaS products used by tens of thousands of customers. We’re laser focused on delivering a world class new product again, and looking for an ambitious front-end engineer to join our existing team of 9 engineers. If it excites you to think of a fast paced start-up environment, building something big from scratch, breaking down new problems, creating well structured UI components, executing on pixel perfect design, paying great attention to every little interaction detail, and doing demos of your work every Friday with a happy and passionate team, then this is the right opportunity for you.
Some of the tech problems you get to work-on as a front-end developer would include
building real-time collaboration experiences across our product, building live document
editing and modern spreadsheet experiences from scratch, creating flexible new
Kanban-style views of work tasks, and crafting cool new UI components and interactions that we will use across our product.
Tech Requirements:
● Expertise in React
● Hands-on experience in HTML, CSS, SASS & Object Oriented Javascript
● SPA Framework patterns
Browser features (Caching / Storage / Compatibility etc )
Nice to have:
● Familiarity with AWS
● Experience with startups or early stage teams
● Knowledge of module bundlers like Webpac
Technical Skills:
- Ability to understand and translate business requirements into design.
- Proficient in AWS infrastructure components such as S3, IAM, VPC, EC2, and Redshift.
- Experience in creating ETL jobs using Python/PySpark.
- Proficiency in creating AWS Lambda functions for event-based jobs.
- Knowledge of automating ETL processes using AWS Step Functions.
- Competence in building data warehouses and loading data into them.
Responsibilities:
- Understand business requirements and translate them into design.
- Assess AWS infrastructure needs for development work.
- Develop ETL jobs using Python/PySpark to meet requirements.
- Implement AWS Lambda for event-based tasks.
- Automate ETL processes using AWS Step Functions.
- Build data warehouses and manage data loading.
- Engage with customers and stakeholders to articulate the benefits of proposed solutions and frameworks.
Requirement analysis
· Acquisition support (Technical analysis)
· Automotive ECU software development
· Diagnostic (UDS) function development
· Software testing
· Technical collaboration with internal/external development parties
Research industry-related topics (combining online sources and studies)
Write clear marketing copy to promote our products/services
Prepare well-structured drafts using Content Management Systems
Proofread and edit blog posts before publication
Coordinate with marketing and design teams to illustrate articles
Conduct simple keyword research and use SEO guidelines to increase web traffic
Promote content on social media
Identify customers’ needs and gaps in our content and recommend new topics
Ensure all-around consistency (style, fonts, images, and tone)
Should be able to write content in Tamil and English
Immediate joiners
- 5+ years of experience building real-time and distributed system architecture, from whiteboard to production
- Strong programming skills in Python, Scala and SQL.
- Versatility. Experience across the entire spectrum of data engineering, including:
- Data stores (e.g., AWS RDS, AWS Athena, AWS Aurora, AWS Redshift)
- Data pipeline and workflow orchestration tools (e.g., Azkaban, Airflow)
- Data processing technologies (e.g., Spark, Pentaho)
- Deployment and monitoring large database clusters in public cloud platforms (e.g., Docker, Terraform, Datadog)
- Creating ETL or ELT pipelines that transform and process petabytes of structured and unstructured data in real-time
- Industry experience building and productionizing innovative end-to-end Machine Learning systems is a plus.
Job Description for Social Beat - Accounts Manager.
Role: Accounts Manager
Experience :5-6 years
Industry :Service Sector
Areas of Experience :-
Sound Technical knowledge in Accounting including payroll accounting
Sound Technical knowledge in TDS, Equalisation levy and GST
MIS reporting to Management
Handling 30-35 clients monthly billing
Handling a team of 2-3 accountants
Monthly Book closure
Good knowledge in Tally ERP accounting
Receivables and payables Review and follow up.
Accurate timely information to Ad managers
Proper maintenance of Registers, files, invoices Etc.
Additional Requirements :
Filing of TDS and GST Returns
Payroll Processing in Tally




