Solvd, Inc.

Data Engineer

• Inventory and document all existing Talend jobs, transformation logic, and reconciliation rules.
• Operate the Datafold Migration Agent for automated bulk migration where supported.
• Manually convert ETL jobs that cannot be automated and validate the correctness of each.
• Pair-program with AI tooling to accelerate conversion — reviewing, fixing, and validating AI-generated output.
• Build DBT models and Snowpark functions to replace legacy Talend jobs.
• Implement automated data validation that surfaces quality and completeness issues via a Streamlit UI dashboard.
• Build a diagnostic tool to test the health of the full software stack and data connectivity end-to-end.
• Document all ETL logic changes throughout the migration.
• Maintain up-to-date data lineage documentation for the full pipeline

Sales Operations Manager

• Own the full revenue operations backbone: from HubSpot and Salesforce configuration to the dashboards leadership uses to run pipeline reviews and forecast calls.
• End-to-end administration of HubSpot and Salesforce: configuration, workflows, automation, data hygiene, integration health, and user support across Marketing and Sales.
• HubSpot–Salesforce integration: field mapping, lead-to-opportunity handoff, lifecycle stage alignment, and deduplication.
• Sales process governance in Salesforce: stage definitions, validation rules, pipeline hygiene, and forecast accuracy.
• Marketing operations in HubSpot: lead scoring, campaign attribution, lifecycle automation, and connecting marketing activity to pipeline and revenue.
• Own and manage all digital marketing channels, ensuring alignment with the marketing team's strategies.
• Oversee and execute website updates (WordPress or similar CMS) to keep the site current and aligned with marketing campaigns.
• Lead SEO strategy and execution to improve organic visibility and search rankings.
• Build and maintain BI dashboards the executive team uses for pipeline reviews, board updates, and forecast calls, using Power BI, Tableau, Looker, or native CRM reporting.
• Define and track GTM KPIs: MQLs, SQLs, pipeline coverage, conversion rates by stage, win rates, sales cycle length, and campaign ROI.

Marketing & Sales Operations Lead

iOS Engineer

• Build and ship UI-heavy iOS features primarily in Swift and SwiftUI.
• Run experiments end-to-end in 1–3 day to one-week timeframes.
• Take product briefs, run technical spikes independently, and come back with an implementation plan and Jira tickets.
• Work cross-functionally with PM and designers to define experiment requirements.
• Balance speed with quality — move fast without cutting corners that create future pain.

Senior iOS Engineer

Project Manager

• Own end-to-end delivery of a complex cloud migration program, including scope, schedule, budget, risks, quality, and stakeholder communication.
• Manage the overall delivery plan and coordinate dependencies across parallel workstreams, including desktop collector, ETL migration, Admin UI rebuild, and Marketplace submission.
• Ensure Snowflake Marketplace submission activities, certification requirements, and critical delivery milestones are successfully planned and executed.
• Manage project financials, scope changes, risks, and key delivery decisions throughout the engagement.
• Act as the primary point of contact for client stakeholders and delivery teams.
• Facilitate governance and executive-level status reviews, providing clear visibility into progress, risks, dependencies, and mitigation plans.
• Serve as the primary escalation point for delivery challenges and cross-team issues.
• Lead distributed cross-functional teams across engineering, data, QA, and business functions.
• Drive accountability, collaboration, and high-quality execution across multiple concurrent workstreams.
• Establish effective governance, reporting, and delivery controls to ensure predictable project outcomes.
• Leverage AI tools and modern delivery practices to improve planning, reporting, documentation, risk management, and team productivity.
• Collaborate effectively with AI, data, and engineering teams on initiatives involving intelligent automation and AI-powered solutions.
• Lead knowledge transfer and transition activities for the planned handover to the client's offshore software team.
• Ensure documentation, processes, and operational knowledge are structured for long-term sustainability and successful transition.
• Support estimation, solution planning, and proposal activities for future cloud, data, and AI-related opportunities when needed.

Data Engineer

Marketing & Sales Operations Lead

Senior iOS Engineer

Senior Project Manager