Role Description This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Test Engineering Manager - REMOTE. In this critical role, you will influence the quality of our technology portfolios and lead teams of QA Engineers and SDETs. You will enhance test automation processes and work closely with various teams to foster a culture of excellence. Your leadership will help ensure high-quality delivery across multiple systems, contributing to scalable and predictable workflows. By improving engineering practices, you will play a pivotal role in driving the team towards operational success and innovation. Accountabilities - Increase automation coverage across supported portfolios, reducing manual regression effort. - Reduce escaped defects and improve release predictability. - Improve test stability and reduce flakiness in CI/CD pipelines. - Establish clear quality metrics and portfolio-level visibility into release readiness. - Strengthen testability practices through early engagement in design and architecture reviews. Qualifications - 5–10 years in QA, SDET, or automation engineering roles. - 2–5 years leading QA/SDET or cross-functional quality engineering teams. - Strong experience with automation frameworks, CI/CD pipelines, and modern testing methodologies. - Experience working in complex, distributed systems environments. - Proven ability to improve automation depth and quality maturity at scale. - Strong communication skills and ability to influence cross-functional partners. Requirements - 5–10 years in QA, SDET, or automation engineering roles. - 2–5 years leading QA/SDET or cross-functional quality engineering teams. - Strong experience with automation frameworks, CI/CD pipelines, and modern testing methodologies. - Experience working in complex, distributed systems environments. - Proven ability to improve automation depth and quality maturity at scale. - Strong communication skills and ability to influence cross-functional partners. Benefits - Competitive salary and total rewards package. - Opportunities for professional development and continuous learning. - Flexible work schedule with a remote-first approach. - Inclusive and diverse work environment. - Access to health and wellness benefits.

Role Description This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Test Engineering Manager - REMOTE. In this critical role, you will influence the quality of our technology portfolios and lead teams of QA Engineers and SDETs. You will enhance test automation processes and work closely with various teams to foster a culture of excellence. Your leadership will help ensure high-quality delivery across multiple systems, contributing to scalable and predictable workflows. By improving engineering practices, you will play a pivotal role in driving the team towards operational success and innovation. - Increase automation coverage across supported portfolios, reducing manual regression effort. - Reduce escaped defects and improve release predictability. - Improve test stability and reduce flakiness in CI/CD pipelines. - Establish clear quality metrics and portfolio-level visibility into release readiness. - Strengthen testability practices through early engagement in design and architecture reviews. Qualifications - 5–10 years in QA, SDET, or automation engineering roles. - 2–5 years leading QA/SDET or cross-functional quality engineering teams. - Strong experience with automation frameworks, CI/CD pipelines, and modern testing methodologies. - Experience working in complex, distributed systems environments. - Proven ability to improve automation depth and quality maturity at scale. - Strong communication skills and ability to influence cross-functional partners. Requirements - Competitive salary and total rewards package. - Opportunities for professional development and continuous learning. - Flexible work schedule with a remote-first approach. - Inclusive and diverse work environment. - Access to health and wellness benefits. Benefits - We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. - Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. - The final decision and next steps (interviews, assessments) are managed by their internal team.

Role Description As a CAD/Flow Methodology Development leader at Tylsemi, you will define, build, and scale the EDA infrastructure and design signoff methodologies that enable teams to deliver silicon efficiently and repeatably. This role will be good for 10+ years of experience and is ideal for engineers who combine deep tool/flow expertise with strong cross-functional leadership—turning ambiguous productivity and quality goals into robust, automated, measurable flows used across multiple programs and sites. - Own end-to-end methodology for key implementation and signoff flows (front-end through back-end), with clear quality gates, metrics, and release processes. - Develop and maintain automated flows for synthesis, STA, P&R, physical verification (DRC/LVS), extraction, EM/IR, timing/power closure, and signoff reporting (scope aligned to your background). - Build reusable infrastructure: Makefiles/Python/Tcl-based automation, job orchestration, regression frameworks, dashboards, and standardized runsets. - Drive tool enablement and configuration across EDA vendors (e.g., Synopsys/Cadence/Siemens), including version qualification, best-known methods, and performance tuning. - Partner with design, PD, verification, DFT, packaging, and product engineering to define signoff criteria, checklists, and tapeout readiness reviews. - Create scalable collateral: flow documentation, onboarding guides, templates, reference designs, and training for new teams and new nodes. - Debug and root-cause flow issues (tool bugs, runset problems, environment drift, corner setup, library/constraint issues) and drive fixes to closure. - Establish and track KPIs (runtime, QoR, convergence rate, violation trends, tapeout escapes) and continuously improve cycle time and first-pass success. - Support multi-site execution with reproducible environments, access control, compute strategy, and robust release management. Qualifications - 10+ years of experience in CAD, design methodology, or physical design/STA with significant flow ownership (scope aligned to experience level). - Strong understanding of digital implementation and signoff concepts: constraints (SDC), timing closure, CDC/RDC considerations, power intent (UPF/CPF), physical verification, extraction, and signoff correlation. - Proven ability to build production-grade automation and infrastructure (Python, Tcl, shell, Make/CMake, Git-based workflows; CI/regressions a plus). - Experience qualifying and supporting EDA tools and flows across multiple projects, including versioning, runset management, and reproducibility. - Ability to translate engineering pain points into scalable methodology, with clear documentation and measurable outcomes. - Strong debugging skills across tool logs, QoR deltas, environment issues, and cross-team integration problems. - Clear communication and high ownership in cross-site, cross-functional environments. Requirements - EDA CAD/flow development. - Design methodology and signoff flows. - Automation/scripting (Python/Tcl/shell). - Tool enablement and regression infrastructure. - Cross-functional technical leadership. Nice to Have - Hands-on experience with advanced-node considerations (multi-corner/multi-mode scale, variation, DFM, reliability signoff, foundry collateral integration). - Experience with compute/grid orchestration (LSF/SLURM/Kubernetes), containerized environments, and reproducible builds. - Flow integration for formal/CDC, low-power verification, DFT signoff, or mixed-signal/AMS-adjacent signoff needs. - Experience building QoR/runtimes dashboards and automated tapeout readiness reporting. - Prior ownership of tapeout-critical signoff checklists and release processes across multiple programs. Success in This Role Looks Like - Teams run consistent, reproducible flows with clear signoff criteria and minimal manual intervention. - Tapeout readiness is predictable: fewer late surprises, faster convergence, and strong correlation across tools and stages. - Automation and regressions catch issues early (environment drift, runset changes, library/constraint problems) before they impact schedules. - Cycle time improves measurably through runtime optimization, standardized methodology, and reusable collateral. - Cross-functional partners trust the flow: documentation is clear, support is responsive, and releases are well-managed. Location - Bengaluru, India - San Jose, CA Experience - 10+ years (scope and ownership will be aligned to experience level).

Role Description This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Manager, Data Engineering - REMOTE. In this strategic role, you will lead the initiatives that bridge the critical functions of data engineering with our Go-to-Market (GTM) approach. Your expertise will be essential in driving the architecture that enables business growth through data-driven decisions. You will directly collaborate with marketing and sales leaders to enhance operational efficiencies. This position not only offers you the chance to innovate and lead but also to impact real-world business outcomes. Join a dedicated team where your contributions will be valued and recognized as we redefine financial automation. - Lead GTM Data Enablement strategy and roadmap; translate business goals into scalable technical plans and measurable outcomes. - Own the vision and architecture for our CDP and product instrumentation to deliver real-time, reliable event data to GTM systems. - Build and maintain the ‘paved path’ from data lake/warehouse to GTM tools, enabling audience segmentation, activation, and customer 360. - Drive end-to-end data orchestration and quality for GTM use cases. - Manage, coach, and grow a team of GTM enablement engineers; instill a culture of accountability and innovation. - Collaborate closely with Data Platform/Infra to leverage the enterprise source of truth while meeting performance goals. - Partner with GTM leaders to prioritize high ROI initiatives and communicate progress effectively. Qualifications - 10+ years in data engineering or analytics with experience supporting Marketing, Sales, or Growth operations. - Proven leadership in building and leading technical teams in a fast-paced SaaS environment. - Expertise in GTM data concepts like event instrumentation, lead scoring, attribution, and campaign activation. - Strong ability to translate complex technical solutions into business value for non-technical partners. - Hands-on experience with modern data platforms/architectures and CDP ecosystems. - Demonstrated success in delivering real-time data pipelines and audience activation across GTM tools. Benefits - 100% paid employee health, dental, and vision plans. - HSA & FSA accounts. - Life Insurance and disability coverage. - Employee Assistance Program (EAP). - 11+ Observed holidays, wellness days, and flexible time off. - Employee Stock Purchase Program with discounts. - Wellness and fitness initiatives. - Employee recognition and referral programs. - And much more.