Company: Academia Inc.
Location: San Francisco, CA
Position Type: Full Time
Experience: See below
Education: See below
Architect a writing agent w/in the AI Co-scientist product to give feedback on draft research papers, suggest changes to those papers, & ensure they're supported by their references. BS in comp sci or related + 5 yrs exp. as software eng. Exp must incl demonstrated working knowledge of: Ruby on Rails, Sidekiq; PostgreSQL, Redis, Elasticsearch; React + Typescript; RSpec, Jest, Storybook, Chromatic; CircleCI, Jenkins, Datadog, Ansible, Terraform, Kubernetes; AWS ecosystem (ECS, S3, RDS, Redshift, Aurora, DynamoDB, & many others); LLM APIs & AI infrastructure for production AI features; AB Test Tools – Statsig. Position eligible to telecommute 2 days/week. $225,000/year. Cov/resume to: Jobapplication@academia.edu.
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Company: Alphonso, Inc.
Location: Mountain View, CA
Position Type: Full Time
Experience: See below
Education: See below
Product Manager needed by Alphonso, Inc., in Mountain View, CA. Drive and own the company’s product roadmap for analytics, automation, and reporting across the programmatic advertising stack; Support the growth of the programmatic business by automating manual operations and scaling the data and analytics infrastructure. Ensure data quality, validation, and consistency across systems through monitoring, anomaly detection, and instrumentation improvements, while identifying and enabling new data and platform integrations; Analyze and integrate large-scale TV/campaign viewership and log-level data from ad servers and supply-side platforms (SSPs) to generate financial and revenue insights that inform strategic product, marketing, and campaign strategies; Define, prioritize, and implement data-driven features to improve revenue/campaign monitoring, audience segmentation, deal optimization, and targeting effectiveness within programmatic marketplaces; Design and analyze experiments (such as A/B testing) and forecasting models using time-series analysis and incorporate those models into the operational media planning, campaign optimization and revenue forecasting workflows; Partner with various engineering teams to develop scalable data pipelines and workflows, manage SSP API integrations to unify deal-level data, and lead automation initiatives to improve yield and operational efficiency; Participate in quarterly planning and sprint planning meetings after gathering needs and priorities from stakeholders; Design and develop reporting products, including advertiser-facing reports and internal analytics dashboards, to improve data accessibility and decision-making; develop and maintain Tableau dashboards for real-time visibility into company revenue and financials; and communicate actionable insights to technical and non-technical stakeholders. Req. Bachelor's in Engineering, Data Science, or related. 18 months experience in Business and Data Analyst or related. Experience with Python, PySpark, SQL, and Tableau; working with large-scale datasets and analytical tools; and managing, optimizing, and automating private marketplace (PMP) deals within programmatic advertising platforms. Salary $150-160K/yr. Send resume to danny.mayi@lgads.tv reference job#1257. Show more »
Location: Mountain View, CA
Position Type: Full Time
Experience: See below
Education: See below
Product Manager needed by Alphonso, Inc., in Mountain View, CA. Drive and own the company’s product roadmap for analytics, automation, and reporting across the programmatic advertising stack; Support the growth of the programmatic business by automating manual operations and scaling the data and analytics infrastructure. Ensure data quality, validation, and consistency across systems through monitoring, anomaly detection, and instrumentation improvements, while identifying and enabling new data and platform integrations; Analyze and integrate large-scale TV/campaign viewership and log-level data from ad servers and supply-side platforms (SSPs) to generate financial and revenue insights that inform strategic product, marketing, and campaign strategies; Define, prioritize, and implement data-driven features to improve revenue/campaign monitoring, audience segmentation, deal optimization, and targeting effectiveness within programmatic marketplaces; Design and analyze experiments (such as A/B testing) and forecasting models using time-series analysis and incorporate those models into the operational media planning, campaign optimization and revenue forecasting workflows; Partner with various engineering teams to develop scalable data pipelines and workflows, manage SSP API integrations to unify deal-level data, and lead automation initiatives to improve yield and operational efficiency; Participate in quarterly planning and sprint planning meetings after gathering needs and priorities from stakeholders; Design and develop reporting products, including advertiser-facing reports and internal analytics dashboards, to improve data accessibility and decision-making; develop and maintain Tableau dashboards for real-time visibility into company revenue and financials; and communicate actionable insights to technical and non-technical stakeholders. Req. Bachelor's in Engineering, Data Science, or related. 18 months experience in Business and Data Analyst or related. Experience with Python, PySpark, SQL, and Tableau; working with large-scale datasets and analytical tools; and managing, optimizing, and automating private marketplace (PMP) deals within programmatic advertising platforms. Salary $150-160K/yr. Send resume to danny.mayi@lgads.tv reference job#1257. Show more »
Refcode: #IPCSFC00228341
Company: LiveRamp, Inc.
Location: San Francisco, CA
Position Type: Full Time
Experience: 3 years
Education: BS
LiveRamp, Inc. seeks a Technical Consultant in SF office to drive customer discovery sessions, dsgn data apps, provide on-demand SQL support. Req. BS in CS, InfoTech, Informatics or rltd & 3yrs rltd exp. $166k-$170k/year + bnfts. May 100% telecommute from any location in the US. Send CV & letter to 225 Bush St. Fl, 17, San Francisco, CA 94104 ATTN: Mona Ghasemian or email to mona.ghasemian@liveramp.com Show more »
Location: San Francisco, CA
Position Type: Full Time
Experience: 3 years
Education: BS
LiveRamp, Inc. seeks a Technical Consultant in SF office to drive customer discovery sessions, dsgn data apps, provide on-demand SQL support. Req. BS in CS, InfoTech, Informatics or rltd & 3yrs rltd exp. $166k-$170k/year + bnfts. May 100% telecommute from any location in the US. Send CV & letter to 225 Bush St. Fl, 17, San Francisco, CA 94104 ATTN: Mona Ghasemian or email to mona.ghasemian@liveramp.com Show more »
Refcode: #IPCSFC00228161
Company: Alphonso, Inc.
Location: Mountain View, CA
Position Type: Full Time
Experience: See below
Education: See below
Product Manager needed by Alphonso, Inc., in Mountain View, CA. Drive and own the company’s product roadmap for anlyt, autom, & rptg across the prgrm advtg stk; Supp the grwth of the prgrm biz by autom manual ops & scalg the data & anlyt infrastructure. Ensure data quality, validation, & consistency across systems through mon, anom detctn, & instrm impvts, whl idntfg & enblg new data & platf intgrtns; Anlyz & intgrt lg-scl TV/campaign vwrshp & log-lvl data frm ad srvrs & sup-sd platfs (SSPs) to gen fin & rev insghts that inf strat product, mrktg, & campaign strat; Def, priort, & impl data-drvn ftrs to imprv revenue/campaign mon, aud segmtn, deal optmztn, & trgting effctvns wthn prgrm mktplcs; Dsgn & anlyz exprmts (such as A/B tstg) & frcstg mdls usng tm-srs analysis & incorp thos mdls int the oprtnl media plng, campaign optmztn & rev frcstg wrkflws; Prtnr w/ var eng tms to dev scalbl data ppelns & wrkflws, mgr SSP API intgrtns to unfy deal-lvl data, & ld autom initvs to imprv yld & oprtnl effcncy; Part in qtrly plng & sprnt plng mtgs aftr gathg nds & priorts frm stkhdrs; Dsgn & dev rptg prods, incl advtsr-facg reports & int anlyt dshbds, to imprv data accessbl & dcsn-mkg; dev & maint Tableau dshbds for real-tm vsblty int company rev & fins; & commun actnbl insghts to tech & non-tech stakeholders. Req. BS in Engineering, Data Sci, or related. 18 mos exp in Biz & Data Anlyst or related. Exp w/ Python, PySpark, SQL, & Tableau; working w/ lg-scl datasets & analyt tls; & mgng, optmzg, & autom prvt mktplc (PMP) dls wthn prgrm advtg platforms. Salary $150-160K/yr. Send resume to danny.mayi@lgads.tv reference job#1257. Show more »
Location: Mountain View, CA
Position Type: Full Time
Experience: See below
Education: See below
Product Manager needed by Alphonso, Inc., in Mountain View, CA. Drive and own the company’s product roadmap for anlyt, autom, & rptg across the prgrm advtg stk; Supp the grwth of the prgrm biz by autom manual ops & scalg the data & anlyt infrastructure. Ensure data quality, validation, & consistency across systems through mon, anom detctn, & instrm impvts, whl idntfg & enblg new data & platf intgrtns; Anlyz & intgrt lg-scl TV/campaign vwrshp & log-lvl data frm ad srvrs & sup-sd platfs (SSPs) to gen fin & rev insghts that inf strat product, mrktg, & campaign strat; Def, priort, & impl data-drvn ftrs to imprv revenue/campaign mon, aud segmtn, deal optmztn, & trgting effctvns wthn prgrm mktplcs; Dsgn & anlyz exprmts (such as A/B tstg) & frcstg mdls usng tm-srs analysis & incorp thos mdls int the oprtnl media plng, campaign optmztn & rev frcstg wrkflws; Prtnr w/ var eng tms to dev scalbl data ppelns & wrkflws, mgr SSP API intgrtns to unfy deal-lvl data, & ld autom initvs to imprv yld & oprtnl effcncy; Part in qtrly plng & sprnt plng mtgs aftr gathg nds & priorts frm stkhdrs; Dsgn & dev rptg prods, incl advtsr-facg reports & int anlyt dshbds, to imprv data accessbl & dcsn-mkg; dev & maint Tableau dshbds for real-tm vsblty int company rev & fins; & commun actnbl insghts to tech & non-tech stakeholders. Req. BS in Engineering, Data Sci, or related. 18 mos exp in Biz & Data Anlyst or related. Exp w/ Python, PySpark, SQL, & Tableau; working w/ lg-scl datasets & analyt tls; & mgng, optmzg, & autom prvt mktplc (PMP) dls wthn prgrm advtg platforms. Salary $150-160K/yr. Send resume to danny.mayi@lgads.tv reference job#1257. Show more »
Refcode: #IPCSFC00227400
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