Top Tech Jobs & Startup Jobs

Owns the end-to-end SaaS product release lifecycle across development, QA, UAT, production, and monitoring. Coordinates cross-functional engineering work, release readiness, Git workflows, deployments, incident response, hotfixes, rollback planning, and root-cause analysis. The role combines hands-on technical leadership with release coordination, production reliability, CI/CD improvement, technical risk management, code quality, and mentoring. It also supports adoption of AI technologies including LLMs, agents, RAG, and related frameworks.

Own the organization’s digital reputation across search engines, media, online platforms, and customer communities. Lead SEO, GEO, content strategy, digital PR, reputation monitoring, customer advocacy, and crisis-response initiatives. Improve page-one visibility, secure media placements, manage brand narratives, identify reputation risks, and track performance metrics. Collaborate with internal teams and senior leadership while adapting strategies to changing search algorithms, AI discovery, and digital trends.

Reviews securities and wealth-management compliance work products, including periodic client reviews, Reg BI and DOL rollover attestations, marketing communications, and structured-product or alternative-investment supervision. Identifies deficiencies, cites applicable controls and regulations, drafts audit-trail entries and reviewer dispositions, and evaluates compliance with FINRA, SEC, suitability, and supervisory requirements.

Develop regulatory law evaluation scenarios, reference compliance memoranda, regulatory filings, enforcement responses, and expert rubrics for AI systems. Work spans US and international regulatory frameworks, including financial services, healthcare and FDA, antitrust, privacy and cybersecurity, environmental, and energy regulation. Apply regulatory interpretation, compliance risk assessment, agency interaction, enforcement strategy, and rulemaking expertise.

Capture and evaluate natural voice interactions with an AI assistant in Brazilian Portuguese. Complete everyday tasks by voice on a Mac, transcribe and clean spoken queries, rate AI responses, record task data in tracking sheets, and upload supporting recordings. The four-week project requires native or near-native Brazilian Portuguese, English comprehension, familiarity with productivity apps, and an Apple Silicon Mac running macOS Sequoia 15.0 or newer.

Create realistic FP&A and treasury scenarios, including budgets, forecasts, variance analysis, cash-flow forecasts, cash positioning, bank administration, FX revaluation, debt compliance, and financial models. Review AI-generated outputs, assess assumptions, provide written feedback, and collaborate asynchronously with researchers.

Develop and support Snowflake data platforms, pipelines, and modern data architectures. Lead migrations from legacy databases, build ELT frameworks with dbt and Airflow, design data models, optimize Snowflake objects, and implement validation and monitoring frameworks. Provide L3 production support, troubleshoot failures, perform root cause analysis, manage releases, and ensure SLA compliance. The role also involves technical documentation, code reviews, migration planning, data reconciliation, and stakeholder collaboration.

Develops complex civil litigation and dispute-resolution evaluation tasks for AI systems. Responsibilities include creating scenarios, reference pleadings, discovery responses, motions, trial memoranda, and evaluation rubrics across commercial, class action, appellate, discovery, evidence, trial, settlement, and arbitration matters. The role requires applying US or international procedural and evidentiary rules, litigation technology, and experienced senior-litigator judgment.

Creates realistic tax compliance, provision, planning, notice-response, and controversy scenarios from professional experience. Reviews AI-generated tax outputs for technical accuracy, provides written feedback, and collaborates asynchronously with an AI research team. The role covers corporate, individual, partnership, SALT, and international tax specialties.

Creates M&A, due diligence, valuation, purchase accounting, and LBO scenarios for AI training data. Reviews AI-generated advisory analyses for accuracy, assumptions, and professional judgment, then provides written feedback to improve performance. Requires transaction advisory, corporate development, investment banking, or valuation experience; hands-on QoE, valuation, or deal-model ownership; strong writing; and a finance, accounting, or related degree. CPA, ASA, ABV, or CFA credentials are advantageous.