Jobs at Weekday, Inc.

Lead and execute multi-channel demand generation and lifecycle marketing programs to drive pipeline, customer acquisition, and revenue. Plan, launch, and optimize campaigns across digital, email, paid media, events, partners, and content. Collaborate with Product Marketing, Sales, Growth, and Marketing Operations to improve lead quality, attribution, and ROI. Manage budgets, reporting, A/B tests, segmentation, and marketing automation to scale predictable growth.

Build and maintain PySpark-based ETL pipelines and large-scale data workflows for finance. Write and optimize complex SQL, ensure data quality, collaborate with finance and engineering stakeholders, and document data models and processes to improve reliability and performance.

Manage content planning, creation, and publishing across social platforms; design social campaigns; coordinate freelancers; upload event videos; create and send 14 weekly email newsletters in Emma; design templates and graphics; craft targeted copy and subject lines; perform A/B tests and refresh branding for the merged organization.

Support enterprise strategic planning and transformation by developing multi-year operating priorities, financial and scenario models, dashboards, and executive presentations. Drive cross-functional collaboration, change management, and initiative tracking using Salesforce, Tableau, and spreadsheets to turn data into leadership recommendations.

Build and deploy AI-driven web applications across frontend and backend. Design scalable backend systems, responsive TypeScript frontends, ETL pipelines, and integrate ML models into production. Work with cloud platforms, containerization, APIs, automated testing, and cross-functional teams to deliver robust, high-performance solutions.

Manage content planning, creation, and publishing across social platforms; run social campaigns; upload event videos; design and deploy 1–4 weekly email newsletters using Emma; create graphics and multimedia; coordinate freelancers; conduct A/B testing and update branding and templates.

Lead vision, strategy, and execution for observability and MSP-focused enterprise products. Own product lifecycle, define roadmaps, prioritize features, drive Agile delivery, partner with engineering, sales, and customers, measure product success, mentor product managers, and lead go-to-market and stakeholder alignment to improve operational visibility and reliability.

Lead product vision, roadmap, and execution for enterprise SaaS observability products. Manage and grow product teams, drive discovery to launch, partner cross-functionally, set success metrics, and inform portfolio strategy with customer insights and market trends.

Evaluate and review finance workflows and task designs for realism and accuracy in real assets, project finance, infrastructure, energy, mining, and natural resources. Identify missing assumptions, ambiguous instructions, impractical constraints, and edge cases. Provide concise, structured written feedback and recommendations, collaborate with other experts, and participate in synchronous review sessions as needed.

Remote contract role to create, review, and refine high-quality consulting deliverables (M&A, post-merger integration, corporate strategy, operational improvement). Analyze due diligence, financial models, and market research to produce client-ready presentations, memos, and financial models. Provide rigorous evaluation and structured feedback to improve analytical rigor, business judgment, and decision-ready recommendations.

Work with research and engineering teams to design realistic marketing tasks, create reference solutions, and evaluate AI/LLM outputs with structured rubrics. Maintain evaluation guidelines, ensure dataset quality, and collaborate with SMEs to improve AI model performance on marketing challenges.

Design and author realistic, multi-step software engineering benchmarks in Python; create reproducible reference solutions and validation checks; evaluate AI-generated code, identify failures, and improve benchmark quality; review peers tasks and collaborate with AI researchers to refine evaluation methodologies.

Conduct 20-minute structured interviews with subject-matter experts, evaluate domain expertise and communication using a rubric, verify availability and work authorization, provide evidence-based hiring recommendations (Advance/Hold/Pass), coordinate scheduling, document outcomes, and collaborate with the program team to ensure consistent evaluation standards. Approximately 10 hours/week, fully remote with U.S. Eastern Time overlap.

Evaluate finance workflows and tasks for realism, technical accuracy, and practical applicability in trading, derivatives, and crypto markets. Identify ambiguous assumptions, unrealistic constraints, missing edge cases, and provide concise, actionable feedback. Collaborate with domain experts to maintain consistency and ensure high-quality assessments throughout a fast-paced, remote sprint engagement.

Evaluate AI-generated JSON outputs using detailed grading rubrics. Read and parse structured data, apply rubric-based scores consistently, identify discrepancies or missing information, and produce evidence-based justifications while meeting turnaround requirements and working independently without AI-assisted tools.

Provide insurance subject-matter expertise to improve generative AI models: design insurance tasks, create reference solutions, evaluate AI outputs with structured rubrics, refine scoring guidelines, and collaborate with research and engineering teams to produce high-quality training and evaluation data. Commitment of 35+ hours/week and proven senior insurance experience required.

Review, create, and evaluate professional operational finance deliverables (P&L reconciliations, month-end close, AP/P2P, three-statement models, pro forma analysis, covenant and partnership accounting). Analyze complex documents, assess AI-generated financial work for technical accuracy and completeness, and produce executive-ready summaries with assumptions, variances, impacts, and recommendations.

Evaluate and review AI-generated mechanical engineering content for technical accuracy and real-world applicability; provide expert answers and feedback; recommend standards and references; share design, manufacturing, and testing insights; identify errors and collaborate with subject-matter experts to improve AI model quality. Part-time, remote, contractor (~10 hrs/week).

Part-time remote role reviewing and improving AI-generated electrical engineering content. Provide expert answers, identify technical inaccuracies, recommend standards/resources, and share practical engineering workflows and documentation to improve AI model quality.

Design evaluation rubrics and scoring frameworks for marketing deliverables, assess AI-generated and human-created marketing work with evidence-based judgments, provide written justifications, and iterate with stakeholders to improve consistency and scoring quality.