Experiencecom
https://experience.comAbout
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Jobs at Experiencecom
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Revenue Marketing Strategist
Location: India
Level: Specialist (8+ years)
Reports To: Director – Marketing Operations
Role Overview
You are the connective tissue between buyer behavior, account-level intent, and pipeline creation. In this role, you’ll unify inbound lead data (from demo forms, chatbot interactions, user signups) with intent signals (from Terminus, G2, and Bombora) to prioritize accounts, orchestrate campaigns, and accelerate deals.
Your work will go beyond lifecycle marketing—this is full-funnel revenue orchestration. You’ll translate live market signals into targeted campaigns, retargeting strategies, and Sales engagement plays in close partnership with Brand, Events, Sales, and Marketing Ops. You’ll also own funnel performance reporting and be a key voice in diagnosing drop-offs, pipeline risks, and program optimizations.
If you’re energized by interpreting signals, influencing strategy, and activating coordinated GTM plays that drive measurable revenue, this is your seat at the table.
Key Responsibilities
Lead & Lifecycle Strategy
- Design and optimize lead lifecycle journeys across B2B and B2C funnels, segmented by intent, behavior, and buying stage.
- Monitor and action MQL performance across Salesforce and Salesloft, ensuring clean handoffs and status tracking.
- Define re-engagement strategies for stalled SQLs and refine segmentation models with RevOps and Marketing Ops.
ABM Campaign Planning & Execution
- Translate intent signals (Bombora, Terminus, G2, Salesforce) into high-priority outreach triggers and nurture journeys.
- Execute multi-channel ABM campaigns in partnership with Brand Strategy and Marketing Operations, covering digital, social, and outbound cadences.
- Align campaign architecture to lifecycle stages, ensuring campaigns are conversion-optimized and measurable.
Sales Alignment & Enablement
- Collaborate with SDRs/AEs to develop cadences, messaging, and playbooks mapped to funnel stages.
- Define lead scoring thresholds, SLA expectations, and funnel feedback loops with Sales and RevOps.
- Maintain strategic syncs with Sales leadership to re-segment accounts and realign campaign focus based on pipeline needs.
Event & Field Marketing Integration
- Align with the Events Director on ABM-driven event strategies, target account selection, and post-event lead acceleration.
- Ensure event engagement flows directly into lifecycle workflows and Sales sequences, tracked in Salesforce and Salesloft.
Insights, Funnel Integrity & Reporting
- Partner with the Analyst team to develop and maintain dashboards focused on MQL→SQL conversion, lead velocity, influenced pipeline, and campaign ROI.
- Identify funnel leakage, recommend fixes, and track resolution across Sales, Ops, and Campaign teams.
- Present performance narratives in monthly/quarterly business reviews, backed by clean attribution and engagement data.
Required Experience
- Tool Expertise Required: Salesforce, Pardot, Bombora, Terminus, Chili Piper, Salesloft
- 8-10 years in demand generation, ABM, or lifecycle marketing roles, with exposure to both strategic funnel design and tactical execution.
- Experience using intent signals (e.g., G2, Bombora, Terminus) to drive account prioritization, custom campaigns, and Sales alignment plays.
- Strong funnel analysis capability—including conversion rates, opp-stage movement, opp aging, and disqualification trends.
- Comfort working across lead and contact data models, ensuring clean attribution and accurate reporting through enrichment and CRM workflows.
- Proven cross-functional collaboration with Sales, RevOps, Content, and Brand—especially in organizations with hybrid GTM motions (B2B + B2C or bottom-up + enterprise).
You Bring
- A data-driven mindset with a deep curiosity for how buyer behavior and account intent translate into pipeline outcomes.
- An integrator’s instinct. You naturally connect disjointed data, signals, and people into coordinated GTM motions.
- Confidence to surface what’s not working and propose strategic adjustments—whether in campaign design, lead handling, or opportunity progression.
- A bias for forward movement: you don’t wait for perfect clarity to take action, but you know how to loop in the right stakeholders to de-risk execution.
- A passion for making cross-functional collaboration smoother, faster, and more insight-led—especially with Sales, RevOps, and Brand.
- A strong sense of funnel ownership: you care not just about conversion to opportunity, but about what happens after.
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
PythonDescription
Come Join Us
Experience.com - We make every experience matter more
Position: Senior GCP Data Engineer
Job Location: Chennai (Base Location) / Remote
Employment Type: Full Time
Summary of Position
A Senior Data Engineer is a professional who specializes in preparing big data infrastructure for analytical or operational uses. He/She is responsible for develops and maintains scalable data pipelines and builds out new API integrations to support continuing increases in data volume and complexity. They collaborate with data scientists and business teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision making across the organisation.
Responsibilities:
- Collaborate with cross-functional teams to define, prioritize, and execute data engineering initiatives aligned with business objectives.
- Design and implement scalable, reliable, and secure data solutions by industry best practices and compliance requirements.
- Drive the adoption of cloud-native technologies and architectural patterns to optimize the performance, cost, and reliability of data pipelines and analytics solutions.
- Mentor and lead a team of Data Engineers.
- Demonstrate a drive to learn and master new technologies and techniques.
- Apply strong problem-solving skills with an emphasis on building data-driven or AI-enhanced products.
- Coordinate with ML/AI and engineering teams to understand data requirements.
Experience & Skills:
- 8+ years of Strong experience in ETL and ELT data from various sources in Data Warehouses
- 8+ years of experience in Python, Pandas, Numpy, and SciPy.
- 5+ years of Experience in GCP
- 5+ years of Experience in BigQuery, PySpark, and Pub/Sub
- 5+ years of Experience working with and creating data architectures.
- Certified in Google Cloud Professional Data Engineer.
- Advanced proficiency in Google Cloud services such as Dataflow, Dataproc, Dataprep, Data Studio, and Cloud Composer.
- Proficient in writing complex Spark (PySpark) User Defined Functions (UDFs), Spark SQL, and HiveQL.
- Good understanding of Elastic search.
- Experience in assessing and ensuring data quality, data testing, and addressing data quality issues.
- Excellent understanding of Spark architecture and underlying frameworks including storage management.
- Solid background in database design and development, database administration, and software engineering across full life cycles.
- Experience with NoSQL data stores like MongoDB, DocumentDB, and DynamoDB.
- Knowledge of data governance principles and practices, including data lineage, metadata management, and access control mechanisms.
- Experience in implementing and optimizing data security controls, encryption, and compliance measures in GCP environments.
- Ability to troubleshoot complex issues, perform root cause analysis, and implement effective solutions in a timely manner.
- Proficiency in data visualization tools such as Tableau, Looker, or Data Studio to create insightful dashboards and reports for business users.
- Strong communication and interpersonal skills to effectively collaborate with technical and non-technical stakeholders, articulate complex concepts, and drive consensus.
- Experience with agile methodologies and project management tools like Jira or Asana for sprint planning, backlog grooming, and task tracking.
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